id	sid	tid	token	lemma	pos
work_les4de22qzd4pkbxjnruyovkn4	1	1	Accelerating	accelerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	1	3	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	1	5	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	6	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	7	computing	compute	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	8	Accelerating	accelerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	1	10	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	11	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	1	12	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	13	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	14	computing	compute	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	15	Rory	Rory	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	16	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	1	18	Eibe	Eibe	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	19	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	20	Department	Department	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	21	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	1	22	Computer	Computer	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	23	Science	Science	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	1	25	University	University	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	1	27	Waikato	Waikato	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	28	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	1	29	Hamilton	Hamilton	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	1	31	New	New	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	32	Zealand	Zealand	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	33	ABSTRACT	ABSTRACT	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	34	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	1	35	present	present	VBP
work_les4de22qzd4pkbxjnruyovkn4	1	36	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	1	37	CUDA	cuda	NN
work_les4de22qzd4pkbxjnruyovkn4	1	38	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	1	39	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	1	40	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	1	41	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	1	42	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	1	43	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	1	44	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	1	45	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	1	46	algorithm	algorithm	RB
work_les4de22qzd4pkbxjnruyovkn4	1	47	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	1	48	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	1	49	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	50	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	1	51	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	1	52	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	1	53	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	2	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	2	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	2	3	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	2	4	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	2	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	2	6	executed	execute	VBN
work_les4de22qzd4pkbxjnruyovkn4	2	7	entirely	entirely	RB
work_les4de22qzd4pkbxjnruyovkn4	2	8	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	2	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	2	10	graphics	graphic	NNS
work_les4de22qzd4pkbxjnruyovkn4	2	11	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	2	12	unit	unit	NN
work_les4de22qzd4pkbxjnruyovkn4	2	13	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	2	14	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	2	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	2	16	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	2	17	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	2	18	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	2	19	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	2	20	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	2	21	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	2	22	variety	variety	NN
work_les4de22qzd4pkbxjnruyovkn4	2	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	2	24	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	2	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	2	26	settings	setting	NNS
work_les4de22qzd4pkbxjnruyovkn4	2	27	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	2	28	including	include	VBG
work_les4de22qzd4pkbxjnruyovkn4	2	29	sparse	sparse	JJ
work_les4de22qzd4pkbxjnruyovkn4	2	30	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	2	31	matrices	matrix	NNS
work_les4de22qzd4pkbxjnruyovkn4	2	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	3	1	Individual	individual	JJ
work_les4de22qzd4pkbxjnruyovkn4	3	2	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	3	3	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	3	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	3	5	parallelised	parallelise	VBN
work_les4de22qzd4pkbxjnruyovkn4	3	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	3	7	combining	combine	VBG
work_les4de22qzd4pkbxjnruyovkn4	3	8	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	3	9	approaches	approach	NNS
work_les4de22qzd4pkbxjnruyovkn4	3	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	4	1	An	an	DT
work_les4de22qzd4pkbxjnruyovkn4	4	2	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	4	3	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	4	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	4	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	4	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	4	7	shallow	shallow	JJ
work_les4de22qzd4pkbxjnruyovkn4	4	8	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	4	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	4	10	switching	switch	VBG
work_les4de22qzd4pkbxjnruyovkn4	4	11	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	4	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	4	13	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	4	14	conventional	conventional	JJ
work_les4de22qzd4pkbxjnruyovkn4	4	15	radix	radix	NNS
work_les4de22qzd4pkbxjnruyovkn4	4	16	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	4	17	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	4	18	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	4	19	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	4	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	4	21	larger	large	JJR
work_les4de22qzd4pkbxjnruyovkn4	4	22	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	4	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	5	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	5	2	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	5	3	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	5	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	5	5	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	5	6	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	5	7	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	5	9	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	5	10	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	11	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	5	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	5	13	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	14	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	15	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	5	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	5	17	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	5	18	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	5	19	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	5	20	i7	i7	NN
work_les4de22qzd4pkbxjnruyovkn4	5	21	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	5	22	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	5	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	5	24	1.2	1.2	CD
work_les4de22qzd4pkbxjnruyovkn4	5	25	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	26	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	5	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	5	28	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	29	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	30	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	5	31	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	5	32	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	5	33	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	34	Xeon	Xeon	NNP
work_les4de22qzd4pkbxjnruyovkn4	5	35	CPUs	cpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	5	36	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	5	37	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	5	38	cores	core	NNS
work_les4de22qzd4pkbxjnruyovkn4	5	39	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	5	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	6	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	6	2	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	6	3	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	6	4	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	6	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	6	6	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	6	7	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	6	8	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	6	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	6	10	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	6	11	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	6	12	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	6	13	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	6	14	million	million	CD
work_les4de22qzd4pkbxjnruyovkn4	6	15	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	6	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	6	17	28	28	CD
work_les4de22qzd4pkbxjnruyovkn4	6	18	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	6	19	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	6	20	entirely	entirely	RB
work_les4de22qzd4pkbxjnruyovkn4	6	21	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	6	22	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	6	23	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	6	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	7	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	7	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	7	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	7	4	made	make	VBN
work_les4de22qzd4pkbxjnruyovkn4	7	5	available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	7	6	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	7	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	7	8	plug	plug	NN
work_les4de22qzd4pkbxjnruyovkn4	7	9	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	7	10	in	in	NN
work_les4de22qzd4pkbxjnruyovkn4	7	11	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	7	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	7	13	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	7	14	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	7	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	7	16	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	7	17	supports	support	VBZ
work_les4de22qzd4pkbxjnruyovkn4	7	18	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	7	19	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	7	20	features	feature	VBZ
work_les4de22qzd4pkbxjnruyovkn4	7	21	including	include	VBG
work_les4de22qzd4pkbxjnruyovkn4	7	22	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	7	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	7	24	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	7	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	7	26	ranking	rank	VBG
work_les4de22qzd4pkbxjnruyovkn4	7	27	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	7	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	8	1	Subjects	Subjects	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	2	Artificial	Artificial	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	3	Intelligence	Intelligence	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	8	5	Data	Data	NNPS
work_les4de22qzd4pkbxjnruyovkn4	8	6	Mining	Mining	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	8	8	Machine	Machine	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	9	Learning	Learning	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	8	11	Data	Data	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	12	Science	Science	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	13	Keywords	Keywords	NNPS
work_les4de22qzd4pkbxjnruyovkn4	8	14	Supervised	supervise	VBD
work_les4de22qzd4pkbxjnruyovkn4	8	15	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	8	16	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	8	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	8	18	Gradient	Gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	19	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	8	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	8	21	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	22	computing	compute	VBG
work_les4de22qzd4pkbxjnruyovkn4	8	23	INTRODUCTION	introduction	NN
work_les4de22qzd4pkbxjnruyovkn4	8	24	Gradient	Gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	8	25	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	8	26	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	8	27	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	8	28	important	important	JJ
work_les4de22qzd4pkbxjnruyovkn4	8	29	tool	tool	NN
work_les4de22qzd4pkbxjnruyovkn4	8	30	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	8	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	8	32	field	field	NN
work_les4de22qzd4pkbxjnruyovkn4	8	33	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	8	34	supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	8	35	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	8	36	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	8	37	providing	provide	VBG
work_les4de22qzd4pkbxjnruyovkn4	8	38	state	state	NN
work_les4de22qzd4pkbxjnruyovkn4	8	39	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	8	40	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	8	41	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	8	42	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	8	43	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	8	44	art	art	NN
work_les4de22qzd4pkbxjnruyovkn4	8	45	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	8	46	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	8	47	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	8	48	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	8	49	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	8	50	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	8	51	ranking	rank	VBG
work_les4de22qzd4pkbxjnruyovkn4	8	52	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	8	53	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	9	1	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	9	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	9	3	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	9	4	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	9	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	9	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	9	7	generalised	generalise	VBN
work_les4de22qzd4pkbxjnruyovkn4	9	8	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	9	9	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	9	10	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	9	11	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	9	12	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	9	13	become	become	VBN
work_les4de22qzd4pkbxjnruyovkn4	9	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	9	15	tool	tool	NN
work_les4de22qzd4pkbxjnruyovkn4	9	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	9	17	choice	choice	NN
work_les4de22qzd4pkbxjnruyovkn4	9	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	9	19	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	9	20	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	9	21	competitions	competition	NNS
work_les4de22qzd4pkbxjnruyovkn4	9	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	10	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	10	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	10	3	due	due	JJ
work_les4de22qzd4pkbxjnruyovkn4	10	4	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	10	5	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	10	6	excellent	excellent	JJ
work_les4de22qzd4pkbxjnruyovkn4	10	7	predictive	predictive	JJ
work_les4de22qzd4pkbxjnruyovkn4	10	8	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	10	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	10	10	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	10	11	optimised	optimised	JJ
work_les4de22qzd4pkbxjnruyovkn4	10	12	multicore	multicore	NNP
work_les4de22qzd4pkbxjnruyovkn4	10	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	10	14	distributed	distribute	VBN
work_les4de22qzd4pkbxjnruyovkn4	10	15	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	10	16	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	10	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	10	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	10	19	ability	ability	NN
work_les4de22qzd4pkbxjnruyovkn4	10	20	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	10	21	handle	handle	VB
work_les4de22qzd4pkbxjnruyovkn4	10	22	sparse	sparse	JJ
work_les4de22qzd4pkbxjnruyovkn4	10	23	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	10	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	11	1	Despite	despite	IN
work_les4de22qzd4pkbxjnruyovkn4	11	2	good	good	JJ
work_les4de22qzd4pkbxjnruyovkn4	11	3	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	11	4	relative	relative	JJ
work_les4de22qzd4pkbxjnruyovkn4	11	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	11	6	existing	exist	VBG
work_les4de22qzd4pkbxjnruyovkn4	11	7	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	11	8	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	11	9	implementations	implementation	NNS
work_les4de22qzd4pkbxjnruyovkn4	11	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	11	11	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	11	12	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	11	13	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	11	14	very	very	RB
work_les4de22qzd4pkbxjnruyovkn4	11	15	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	11	16	consuming	consume	VBG
work_les4de22qzd4pkbxjnruyovkn4	11	17	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	11	18	run	run	VB
work_les4de22qzd4pkbxjnruyovkn4	11	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	12	1	Common	common	JJ
work_les4de22qzd4pkbxjnruyovkn4	12	2	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	12	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	12	4	take	take	VB
work_les4de22qzd4pkbxjnruyovkn4	12	5	hours	hour	NNS
work_les4de22qzd4pkbxjnruyovkn4	12	6	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	12	7	even	even	RB
work_les4de22qzd4pkbxjnruyovkn4	12	8	days	day	NNS
work_les4de22qzd4pkbxjnruyovkn4	12	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	12	10	complete	complete	VB
work_les4de22qzd4pkbxjnruyovkn4	12	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	13	1	Building	build	VBG
work_les4de22qzd4pkbxjnruyovkn4	13	2	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	13	3	accurate	accurate	JJ
work_les4de22qzd4pkbxjnruyovkn4	13	4	models	model	NNS
work_les4de22qzd4pkbxjnruyovkn4	13	5	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	13	6	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	13	7	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	13	8	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	13	9	requires	require	VBZ
work_les4de22qzd4pkbxjnruyovkn4	13	10	extensive	extensive	JJ
work_les4de22qzd4pkbxjnruyovkn4	13	11	parameter	parameter	NN
work_les4de22qzd4pkbxjnruyovkn4	13	12	tuning	tuning	NN
work_les4de22qzd4pkbxjnruyovkn4	13	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	14	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	14	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	14	3	process	process	NN
work_les4de22qzd4pkbxjnruyovkn4	14	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	14	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	14	6	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	14	7	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	14	8	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	14	9	run	run	VBN
work_les4de22qzd4pkbxjnruyovkn4	14	10	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	14	11	times	time	NNS
work_les4de22qzd4pkbxjnruyovkn4	14	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	14	13	explore	explore	VB
work_les4de22qzd4pkbxjnruyovkn4	14	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	14	15	effect	effect	NN
work_les4de22qzd4pkbxjnruyovkn4	14	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	14	17	parameters	parameter	NNS
work_les4de22qzd4pkbxjnruyovkn4	14	18	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	14	19	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	14	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	14	21	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	14	22	rate	rate	NN
work_les4de22qzd4pkbxjnruyovkn4	14	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	14	24	L1	L1	NNP
work_les4de22qzd4pkbxjnruyovkn4	14	25	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	14	26	L2	l2	JJ
work_les4de22qzd4pkbxjnruyovkn4	14	27	regularisation	regularisation	NN
work_les4de22qzd4pkbxjnruyovkn4	14	28	terms	term	NNS
work_les4de22qzd4pkbxjnruyovkn4	14	29	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	14	30	cross	cross	NN
work_les4de22qzd4pkbxjnruyovkn4	14	31	validation	validation	NN
work_les4de22qzd4pkbxjnruyovkn4	14	32	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	14	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	15	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	15	2	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	15	3	describes	describe	VBZ
work_les4de22qzd4pkbxjnruyovkn4	15	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	15	5	evaluates	evaluate	VBZ
work_les4de22qzd4pkbxjnruyovkn4	15	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	15	7	graphics	graphic	NNS
work_les4de22qzd4pkbxjnruyovkn4	15	8	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	15	9	unit	unit	NN
work_les4de22qzd4pkbxjnruyovkn4	15	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	15	11	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	15	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	15	13	algorithm	algorithm	VB
work_les4de22qzd4pkbxjnruyovkn4	15	14	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	15	15	accelerating	accelerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	15	16	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	15	17	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	15	18	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	15	19	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	15	20	individual	individual	JJ
work_les4de22qzd4pkbxjnruyovkn4	15	21	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	15	22	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	15	23	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	15	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	15	25	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	15	26	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	15	27	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	15	28	setting	setting	NN
work_les4de22qzd4pkbxjnruyovkn4	15	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	16	1	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	16	2	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	16	3	been	be	VBN
work_les4de22qzd4pkbxjnruyovkn4	16	4	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	16	5	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	16	6	accelerate	accelerate	VB
work_les4de22qzd4pkbxjnruyovkn4	16	7	compute	compute	NN
work_les4de22qzd4pkbxjnruyovkn4	16	8	intensive	intensive	JJ
work_les4de22qzd4pkbxjnruyovkn4	16	9	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	16	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	16	11	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	16	12	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	16	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	16	14	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	16	15	other	other	JJ
work_les4de22qzd4pkbxjnruyovkn4	16	16	fields	field	NNS
work_les4de22qzd4pkbxjnruyovkn4	16	17	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	16	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	16	19	utilisation	utilisation	NN
work_les4de22qzd4pkbxjnruyovkn4	16	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	16	21	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	16	22	specialised	specialise	VBN
work_les4de22qzd4pkbxjnruyovkn4	16	23	SIMD	simd	NN
work_les4de22qzd4pkbxjnruyovkn4	16	24	architecture	architecture	NN
work_les4de22qzd4pkbxjnruyovkn4	16	25	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	16	26	Coates	Coates	NNP
work_les4de22qzd4pkbxjnruyovkn4	16	27	et	et	FW
work_les4de22qzd4pkbxjnruyovkn4	16	28	al	al	NNP
work_les4de22qzd4pkbxjnruyovkn4	16	29	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	16	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	16	31	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	16	32	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	16	33	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	16	34	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	16	35	Grimshaw	Grimshaw	NNP
work_les4de22qzd4pkbxjnruyovkn4	16	36	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	16	37	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	16	38	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	16	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	17	1	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	17	2	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	17	3	accelerated	accelerate	VBN
work_les4de22qzd4pkbxjnruyovkn4	17	4	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	17	5	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	17	6	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	17	7	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	17	8	been	be	VBN
work_les4de22qzd4pkbxjnruyovkn4	17	9	tried	try	VBN
work_les4de22qzd4pkbxjnruyovkn4	17	10	before	before	RB
work_les4de22qzd4pkbxjnruyovkn4	17	11	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	17	12	moderate	moderate	JJ
work_les4de22qzd4pkbxjnruyovkn4	17	13	success	success	NN
work_les4de22qzd4pkbxjnruyovkn4	17	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	18	1	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	18	2	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	18	3	contributions	contribution	NNS
work_les4de22qzd4pkbxjnruyovkn4	18	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	18	5	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	18	6	follows	follow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	18	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	19	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	19	2	describe	describe	VBP
work_les4de22qzd4pkbxjnruyovkn4	19	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	19	4	completely	completely	RB
work_les4de22qzd4pkbxjnruyovkn4	19	5	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	19	6	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	19	7	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	19	8	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	19	9	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	19	10	scales	scale	VBZ
work_les4de22qzd4pkbxjnruyovkn4	19	11	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	19	12	arbitrary	arbitrary	JJ
work_les4de22qzd4pkbxjnruyovkn4	19	13	numbers	number	NNS
work_les4de22qzd4pkbxjnruyovkn4	19	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	19	15	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	19	16	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	19	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	19	18	exhibits	exhibit	VBZ
work_les4de22qzd4pkbxjnruyovkn4	19	19	stable	stable	JJ
work_les4de22qzd4pkbxjnruyovkn4	19	20	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	19	21	characteristics	characteristic	NNS
work_les4de22qzd4pkbxjnruyovkn4	19	22	How	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	19	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	19	24	cite	cite	VB
work_les4de22qzd4pkbxjnruyovkn4	19	25	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	19	26	article	article	NN
work_les4de22qzd4pkbxjnruyovkn4	19	27	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	19	28	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	19	29	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	19	30	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	19	31	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	19	32	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	19	33	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	19	34	Accelerating	accelerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	19	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	19	36	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	19	37	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	19	38	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	19	39	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	19	40	computing	compute	VBG
work_les4de22qzd4pkbxjnruyovkn4	19	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	20	1	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	20	2	Comput	comput	NN
work_les4de22qzd4pkbxjnruyovkn4	20	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	21	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	21	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	22	1	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	22	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	22	3	e127	e127	NN
work_les4de22qzd4pkbxjnruyovkn4	22	4	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	22	5	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	6	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	22	7	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	22	8	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	9	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	22	10	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	11	Submitted	submit	VBN
work_les4de22qzd4pkbxjnruyovkn4	22	12	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	22	13	April	April	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	14	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	22	15	Accepted	accept	VBD
work_les4de22qzd4pkbxjnruyovkn4	22	16	27	27	CD
work_les4de22qzd4pkbxjnruyovkn4	22	17	June	June	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	18	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	22	19	Published	publish	VBD
work_les4de22qzd4pkbxjnruyovkn4	22	20	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	22	21	July	July	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	22	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	22	23	Corresponding	Corresponding	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	24	authors	author	NNS
work_les4de22qzd4pkbxjnruyovkn4	22	25	Rory	Rory	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	26	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	27	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	22	28	ramitchellnz@gmail.com	ramitchellnz@gmail.com	ADD
work_les4de22qzd4pkbxjnruyovkn4	22	29	Eibe	Eibe	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	30	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	31	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	22	32	eibe@cs.waikato.ac.nz	eibe@cs.waikato.ac.nz	JJ
work_les4de22qzd4pkbxjnruyovkn4	22	33	Academic	academic	JJ
work_les4de22qzd4pkbxjnruyovkn4	22	34	editor	editor	NN
work_les4de22qzd4pkbxjnruyovkn4	22	35	Charles	Charles	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	36	Elkan	Elkan	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	37	Additional	Additional	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	38	Information	Information	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	39	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	22	40	Declarations	declaration	NNS
work_les4de22qzd4pkbxjnruyovkn4	22	41	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	22	42	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	22	43	found	find	VBN
work_les4de22qzd4pkbxjnruyovkn4	22	44	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	22	45	page	page	NN
work_les4de22qzd4pkbxjnruyovkn4	22	46	36	36	CD
work_les4de22qzd4pkbxjnruyovkn4	22	47	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	48	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	22	49	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	22	50	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	51	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	22	52	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	53	Copyright	Copyright	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	54	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	22	55	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	56	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	22	57	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	58	Distributed	distribute	VBN
work_les4de22qzd4pkbxjnruyovkn4	22	59	under	under	IN
work_les4de22qzd4pkbxjnruyovkn4	22	60	Creative	Creative	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	61	Commons	Commons	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	62	CC	CC	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	63	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	22	64	BY	BY	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	65	4.0	4.0	CD
work_les4de22qzd4pkbxjnruyovkn4	22	66	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	NN
work_les4de22qzd4pkbxjnruyovkn4	22	67	mailto	mailto	NN
work_les4de22qzd4pkbxjnruyovkn4	22	68	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	22	69	ramitchellnz@	ramitchellnz@	PRP$
work_les4de22qzd4pkbxjnruyovkn4	22	70	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	71	gmail.	gmail.	NN
work_les4de22qzd4pkbxjnruyovkn4	22	72	�	�	HYPH
work_les4de22qzd4pkbxjnruyovkn4	22	73	com	com	NN
work_les4de22qzd4pkbxjnruyovkn4	22	74	mailto	mailto	NN
work_les4de22qzd4pkbxjnruyovkn4	22	75	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	22	76	eibe@	eibe@	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	77	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	78	cs.	cs.	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	79	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	80	waikato.	waikato.	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	81	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	82	ac.	ac.	NN
work_les4de22qzd4pkbxjnruyovkn4	22	83	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	84	nz	nz	CC
work_les4de22qzd4pkbxjnruyovkn4	22	85	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	86	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	87	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	ADD
work_les4de22qzd4pkbxjnruyovkn4	22	88	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	NNP
work_les4de22qzd4pkbxjnruyovkn4	22	89	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	XX
work_les4de22qzd4pkbxjnruyovkn4	22	90	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_les4de22qzd4pkbxjnruyovkn4	22	91	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	22	92	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	22	93	range	range	NN
work_les4de22qzd4pkbxjnruyovkn4	22	94	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	22	95	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	22	96	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	22	97	settings	setting	NNS
work_les4de22qzd4pkbxjnruyovkn4	22	98	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	23	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	23	2	experiment	experiment	VBP
work_les4de22qzd4pkbxjnruyovkn4	23	3	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	23	4	novel	novel	JJ
work_les4de22qzd4pkbxjnruyovkn4	23	5	approaches	approach	NNS
work_les4de22qzd4pkbxjnruyovkn4	23	6	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	23	7	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	23	8	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	23	9	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	23	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	23	11	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	23	12	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	23	13	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	23	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	23	15	develop	develop	VB
work_les4de22qzd4pkbxjnruyovkn4	23	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	23	17	massively	massively	RB
work_les4de22qzd4pkbxjnruyovkn4	23	18	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	23	19	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	23	20	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	23	21	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	23	22	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	23	23	natively	natively	RB
work_les4de22qzd4pkbxjnruyovkn4	23	24	handles	handle	VBZ
work_les4de22qzd4pkbxjnruyovkn4	23	25	sparse	sparse	VBP
work_les4de22qzd4pkbxjnruyovkn4	23	26	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	23	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	24	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	24	2	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	24	3	provide	provide	VBP
work_les4de22qzd4pkbxjnruyovkn4	24	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	24	5	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	24	6	complete	complete	JJ
work_les4de22qzd4pkbxjnruyovkn4	24	7	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	24	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	24	9	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	24	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	24	11	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	24	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	24	13	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	24	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	24	15	rank	rank	NN
work_les4de22qzd4pkbxjnruyovkn4	24	16	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	24	17	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	24	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	24	19	open	open	JJ
work_les4de22qzd4pkbxjnruyovkn4	24	20	source	source	NN
work_les4de22qzd4pkbxjnruyovkn4	24	21	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	24	22	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	24	23	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	24	24	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	NN
work_les4de22qzd4pkbxjnruyovkn4	24	25	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	24	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	25	1	BACKGROUND	background	VB
work_les4de22qzd4pkbxjnruyovkn4	25	2	AND	and	CC
work_les4de22qzd4pkbxjnruyovkn4	25	3	RELATED	relate	VBN
work_les4de22qzd4pkbxjnruyovkn4	25	4	WORK	work	NN
work_les4de22qzd4pkbxjnruyovkn4	25	5	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	25	6	review	review	VBP
work_les4de22qzd4pkbxjnruyovkn4	25	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	25	8	basic	basic	JJ
work_les4de22qzd4pkbxjnruyovkn4	25	9	strategy	strategy	NN
work_les4de22qzd4pkbxjnruyovkn4	25	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	25	11	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	25	12	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	25	13	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	25	14	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	25	15	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	25	16	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	25	17	revisit	revisit	VB
work_les4de22qzd4pkbxjnruyovkn4	25	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	25	19	derivation	derivation	NN
work_les4de22qzd4pkbxjnruyovkn4	25	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	25	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	25	22	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	25	23	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	25	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	25	25	before	before	IN
work_les4de22qzd4pkbxjnruyovkn4	25	26	considering	consider	VBG
work_les4de22qzd4pkbxjnruyovkn4	25	27	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	25	28	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	25	29	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	25	30	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	25	31	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	25	32	architecture	architecture	NN
work_les4de22qzd4pkbxjnruyovkn4	25	33	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	25	34	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	25	35	as	as	RB
work_les4de22qzd4pkbxjnruyovkn4	25	36	well	well	RB
work_les4de22qzd4pkbxjnruyovkn4	25	37	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	25	38	languages	language	NNS
work_les4de22qzd4pkbxjnruyovkn4	25	39	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	25	40	libraries	library	NNS
work_les4de22qzd4pkbxjnruyovkn4	25	41	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	25	42	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	25	43	computing	computing	NN
work_les4de22qzd4pkbxjnruyovkn4	25	44	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	26	1	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	26	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	26	3	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	26	4	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	26	5	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	26	6	makes	make	VBZ
work_les4de22qzd4pkbxjnruyovkn4	26	7	extensive	extensive	JJ
work_les4de22qzd4pkbxjnruyovkn4	26	8	use	use	NN
work_les4de22qzd4pkbxjnruyovkn4	26	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	26	10	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	26	11	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	26	12	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	26	13	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	26	14	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	26	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	26	16	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	26	17	discuss	discuss	VBP
work_les4de22qzd4pkbxjnruyovkn4	26	18	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	26	19	next	next	JJ
work_les4de22qzd4pkbxjnruyovkn4	26	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	27	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	27	2	briefly	briefly	RB
work_les4de22qzd4pkbxjnruyovkn4	27	3	discuss	discuss	VBP
work_les4de22qzd4pkbxjnruyovkn4	27	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	27	5	effect	effect	NN
work_les4de22qzd4pkbxjnruyovkn4	27	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	27	7	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	27	8	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	27	9	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	27	10	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	27	11	floating	floating	JJ
work_les4de22qzd4pkbxjnruyovkn4	27	12	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	27	13	arithmetic	arithmetic	JJ
work_les4de22qzd4pkbxjnruyovkn4	27	14	before	before	IN
work_les4de22qzd4pkbxjnruyovkn4	27	15	reviewing	review	VBG
work_les4de22qzd4pkbxjnruyovkn4	27	16	related	related	JJ
work_les4de22qzd4pkbxjnruyovkn4	27	17	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	27	18	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	27	19	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	27	20	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	27	21	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	27	22	induction	induction	NN
work_les4de22qzd4pkbxjnruyovkn4	27	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	27	24	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	27	25	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	27	26	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	27	27	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	27	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	28	1	Tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	28	2	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	28	3	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	28	4	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	28	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	28	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	28	7	supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	28	8	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	28	9	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	28	10	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	28	11	implements	implement	VBZ
work_les4de22qzd4pkbxjnruyovkn4	28	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	28	13	process	process	NN
work_les4de22qzd4pkbxjnruyovkn4	28	14	called	call	VBN
work_les4de22qzd4pkbxjnruyovkn4	28	15	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	28	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	28	17	yield	yield	VB
work_les4de22qzd4pkbxjnruyovkn4	28	18	accurate	accurate	JJ
work_les4de22qzd4pkbxjnruyovkn4	28	19	models	model	NNS
work_les4de22qzd4pkbxjnruyovkn4	28	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	29	1	Supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	29	2	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	29	3	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	29	4	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	29	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	29	6	task	task	NN
work_les4de22qzd4pkbxjnruyovkn4	29	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	29	8	inferring	infer	VBG
work_les4de22qzd4pkbxjnruyovkn4	29	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	29	10	predictive	predictive	JJ
work_les4de22qzd4pkbxjnruyovkn4	29	11	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	29	12	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	29	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	29	14	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	29	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	29	16	labelled	label	VBN
work_les4de22qzd4pkbxjnruyovkn4	29	17	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	29	18	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	29	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	30	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	30	2	predictive	predictive	JJ
work_les4de22qzd4pkbxjnruyovkn4	30	3	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	30	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	30	5	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	30	6	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	30	7	applied	apply	VBN
work_les4de22qzd4pkbxjnruyovkn4	30	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	30	9	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	30	10	unseen	unseen	JJ
work_les4de22qzd4pkbxjnruyovkn4	30	11	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	30	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	31	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	31	2	inputs	input	NNS
work_les4de22qzd4pkbxjnruyovkn4	31	3	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	31	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	31	5	algorithm	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	31	6	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	31	7	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	31	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	31	9	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	31	10	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	31	11	ð	ð	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	12	~	~	NFP
work_les4de22qzd4pkbxjnruyovkn4	31	13	x0	x0	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	14	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	31	15	y0Þ	y0Þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	16	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	31	17	ð	ð	LS
work_les4de22qzd4pkbxjnruyovkn4	31	18	~	~	SYM
work_les4de22qzd4pkbxjnruyovkn4	31	19	x1	x1	NN
work_les4de22qzd4pkbxjnruyovkn4	31	20	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	31	21	y1Þ	y1Þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	22	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	23	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	24	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	25	ð	ð	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	26	~	~	NFP
work_les4de22qzd4pkbxjnruyovkn4	31	27	xn	xn	XX
work_les4de22qzd4pkbxjnruyovkn4	31	28	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	31	29	ynÞ	ynþ	UH
work_les4de22qzd4pkbxjnruyovkn4	31	30	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	31	31	~x	~x	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	32	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	31	33	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	31	34	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	31	35	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	31	36	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	31	37	describing	describe	VBG
work_les4de22qzd4pkbxjnruyovkn4	31	38	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	31	39	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	31	40	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	31	41	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	31	42	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	31	43	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	31	44	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	31	45	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	32	1	Supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	32	2	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	32	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	32	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	32	5	thought	think	VBN
work_les4de22qzd4pkbxjnruyovkn4	32	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	32	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	32	8	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	32	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	32	10	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	32	11	Fð	Fð	NNP
work_les4de22qzd4pkbxjnruyovkn4	32	12	~	~	NFP
work_les4de22qzd4pkbxjnruyovkn4	32	13	xÞ	xÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	32	14	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	32	15	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	32	16	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	32	17	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	32	18	correctly	correctly	RB
work_les4de22qzd4pkbxjnruyovkn4	32	19	label	label	VB
work_les4de22qzd4pkbxjnruyovkn4	32	20	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	32	21	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	32	22	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	32	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	33	1	Supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	33	2	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	33	3	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	33	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	33	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	33	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	33	7	solve	solve	VB
work_les4de22qzd4pkbxjnruyovkn4	33	8	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	33	9	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	33	10	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	33	11	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	33	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	34	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	34	2	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	34	3	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	34	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	34	5	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	34	6	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	34	7	takes	take	VBZ
work_les4de22qzd4pkbxjnruyovkn4	34	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	34	9	discrete	discrete	JJ
work_les4de22qzd4pkbxjnruyovkn4	34	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	34	11	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	34	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	34	13	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	34	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	35	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	35	2	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	35	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	35	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	35	5	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	35	6	wish	wish	VB
work_les4de22qzd4pkbxjnruyovkn4	35	7	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	35	8	predict	predict	VB
work_les4de22qzd4pkbxjnruyovkn4	35	9	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	35	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	35	11	manufacturing	manufacturing	NN
work_les4de22qzd4pkbxjnruyovkn4	35	12	defect	defect	NN
work_les4de22qzd4pkbxjnruyovkn4	35	13	occurs	occur	VBZ
work_les4de22qzd4pkbxjnruyovkn4	35	14	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	35	15	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	35	16	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	35	17	occur	occur	VB
work_les4de22qzd4pkbxjnruyovkn4	35	18	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	35	19	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	35	20	attributes	attribute	NNS
work_les4de22qzd4pkbxjnruyovkn4	35	21	recorded	record	VBN
work_les4de22qzd4pkbxjnruyovkn4	35	22	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	35	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	35	24	manufacturing	manufacturing	NN
work_les4de22qzd4pkbxjnruyovkn4	35	25	process	process	NN
work_les4de22qzd4pkbxjnruyovkn4	35	26	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	35	27	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	35	28	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	35	29	temperature	temperature	NN
work_les4de22qzd4pkbxjnruyovkn4	35	30	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	35	31	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	35	32	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	35	33	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	35	34	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	35	35	represented	represent	VBN
work_les4de22qzd4pkbxjnruyovkn4	35	36	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	35	37	~x	~x	NNP
work_les4de22qzd4pkbxjnruyovkn4	35	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	36	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	36	2	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	36	3	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	36	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	36	5	target	target	NN
work_les4de22qzd4pkbxjnruyovkn4	36	6	label	label	NNP
work_les4de22qzd4pkbxjnruyovkn4	36	7	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	36	8	takes	take	VBZ
work_les4de22qzd4pkbxjnruyovkn4	36	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	36	10	continuous	continuous	JJ
work_les4de22qzd4pkbxjnruyovkn4	36	11	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	36	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	37	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	37	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	37	3	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	37	4	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	37	5	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	37	6	frame	frame	VB
work_les4de22qzd4pkbxjnruyovkn4	37	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	37	8	problem	problem	NN
work_les4de22qzd4pkbxjnruyovkn4	37	9	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	37	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	37	11	predicting	predict	VBG
work_les4de22qzd4pkbxjnruyovkn4	37	12	temperature	temperature	NN
work_les4de22qzd4pkbxjnruyovkn4	37	13	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	37	14	humidity	humidity	NN
work_les4de22qzd4pkbxjnruyovkn4	37	15	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	37	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	37	17	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	37	18	day	day	NN
work_les4de22qzd4pkbxjnruyovkn4	37	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	38	1	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	38	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	38	3	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	38	4	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	38	5	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	38	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	38	7	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	38	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	38	9	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	38	10	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	38	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	39	1	Boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	39	2	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	39	3	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	39	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	39	5	ensemble	ensemble	JJ
work_les4de22qzd4pkbxjnruyovkn4	39	6	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	39	7	technique	technique	NN
work_les4de22qzd4pkbxjnruyovkn4	39	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	39	9	building	build	VBG
work_les4de22qzd4pkbxjnruyovkn4	39	10	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	39	11	models	model	NNS
work_les4de22qzd4pkbxjnruyovkn4	39	12	sequentially	sequentially	RB
work_les4de22qzd4pkbxjnruyovkn4	39	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	39	14	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	39	15	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	39	16	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	39	17	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	39	18	attempting	attempt	VBG
work_les4de22qzd4pkbxjnruyovkn4	39	19	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	39	20	correct	correct	VB
work_les4de22qzd4pkbxjnruyovkn4	39	21	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	39	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	39	23	deficiencies	deficiency	NNS
work_les4de22qzd4pkbxjnruyovkn4	39	24	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	39	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	39	26	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	39	27	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	39	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	40	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	40	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	40	3	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	40	4	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	40	5	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	40	6	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	40	7	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	40	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	40	9	added	add	VBN
work_les4de22qzd4pkbxjnruyovkn4	40	10	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	40	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	40	12	ensemble	ensemble	NN
work_les4de22qzd4pkbxjnruyovkn4	40	13	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	40	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	40	15	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	40	16	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	40	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	41	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	41	2	explain	explain	VBP
work_les4de22qzd4pkbxjnruyovkn4	41	3	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	41	4	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	41	5	construct	construct	VB
work_les4de22qzd4pkbxjnruyovkn4	41	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	41	7	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	41	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	41	9	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	41	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	41	11	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	41	12	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	41	13	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	41	14	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	41	15	extended	extend	VBN
work_les4de22qzd4pkbxjnruyovkn4	41	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	41	17	generalised	generalise	VBN
work_les4de22qzd4pkbxjnruyovkn4	41	18	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	41	19	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	41	20	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	41	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	41	22	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	41	23	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	41	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	42	1	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	42	2	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	42	3	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	42	4	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	42	5	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	42	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	42	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	42	8	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	42	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	42	10	predictive	predictive	JJ
work_les4de22qzd4pkbxjnruyovkn4	42	11	modelling	modelling	NN
work_les4de22qzd4pkbxjnruyovkn4	42	12	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	42	13	learns	learn	VBZ
work_les4de22qzd4pkbxjnruyovkn4	42	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	42	15	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	42	16	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	42	17	repeatedly	repeatedly	RB
work_les4de22qzd4pkbxjnruyovkn4	42	18	splitting	splitting	JJ
work_les4de22qzd4pkbxjnruyovkn4	42	19	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	42	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	42	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	42	22	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	42	23	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	42	24	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	42	25	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	42	26	called	call	VBN
work_les4de22qzd4pkbxjnruyovkn4	42	27	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	42	28	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	42	29	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	42	30	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	42	31	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	42	32	criteria	criterion	NNS
work_les4de22qzd4pkbxjnruyovkn4	42	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	43	1	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	43	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	43	3	inducers	inducer	NNS
work_les4de22qzd4pkbxjnruyovkn4	43	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	43	5	supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	43	6	learners	learner	NNS
work_les4de22qzd4pkbxjnruyovkn4	43	7	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	43	8	accept	accept	VBP
work_les4de22qzd4pkbxjnruyovkn4	43	9	labelled	label	VBN
work_les4de22qzd4pkbxjnruyovkn4	43	10	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	43	11	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	43	12	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	43	13	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	43	14	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	43	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	43	16	generate	generate	VB
work_les4de22qzd4pkbxjnruyovkn4	43	17	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	43	18	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	43	19	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	43	20	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	43	21	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	43	22	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	43	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	43	24	predict	predict	VB
work_les4de22qzd4pkbxjnruyovkn4	43	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	43	26	labels	label	NNS
work_les4de22qzd4pkbxjnruyovkn4	43	27	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	43	28	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	43	29	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	43	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	44	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	44	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	44	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	44	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	44	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	44	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	44	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	44	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	44	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	44	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	45	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	45	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	45	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	45	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	45	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	45	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	45	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	45	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	45	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	45	10	2/37	2/37	CD
work_les4de22qzd4pkbxjnruyovkn4	45	11	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	CD
work_les4de22qzd4pkbxjnruyovkn4	45	12	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	NFP
work_les4de22qzd4pkbxjnruyovkn4	45	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_les4de22qzd4pkbxjnruyovkn4	45	14	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	45	15	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	45	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	45	17	construct	construct	VB
work_les4de22qzd4pkbxjnruyovkn4	45	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	45	19	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	45	20	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	45	21	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	45	22	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	45	23	start	start	VBP
work_les4de22qzd4pkbxjnruyovkn4	45	24	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	45	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	45	26	full	full	JJ
work_les4de22qzd4pkbxjnruyovkn4	45	27	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	45	28	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	45	29	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	45	30	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	45	31	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	45	32	evaluate	evaluate	VB
work_les4de22qzd4pkbxjnruyovkn4	45	33	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	45	34	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	45	35	ways	way	NNS
work_les4de22qzd4pkbxjnruyovkn4	45	36	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	45	37	creating	create	VBG
work_les4de22qzd4pkbxjnruyovkn4	45	38	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	45	39	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	45	40	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	45	41	among	among	IN
work_les4de22qzd4pkbxjnruyovkn4	45	42	those	those	DT
work_les4de22qzd4pkbxjnruyovkn4	45	43	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	45	44	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	45	45	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	45	46	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	45	47	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	45	48	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	45	49	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	45	50	~x	~x	NNP
work_les4de22qzd4pkbxjnruyovkn4	45	51	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	46	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	46	2	choose	choose	VBP
work_les4de22qzd4pkbxjnruyovkn4	46	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	46	4	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	46	5	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	46	6	produces	produce	VBZ
work_les4de22qzd4pkbxjnruyovkn4	46	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	46	8	most	most	RBS
work_les4de22qzd4pkbxjnruyovkn4	46	9	meaningful	meaningful	JJ
work_les4de22qzd4pkbxjnruyovkn4	46	10	separation	separation	NN
work_les4de22qzd4pkbxjnruyovkn4	46	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	46	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	46	13	target	target	NN
work_les4de22qzd4pkbxjnruyovkn4	46	14	label	label	NNP
work_les4de22qzd4pkbxjnruyovkn4	46	15	y.	y.	NNP
work_les4de22qzd4pkbxjnruyovkn4	47	1	Different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	47	2	measures	measure	NNS
work_les4de22qzd4pkbxjnruyovkn4	47	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	47	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	47	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	47	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	47	7	evaluate	evaluate	VB
work_les4de22qzd4pkbxjnruyovkn4	47	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	47	9	quality	quality	NN
work_les4de22qzd4pkbxjnruyovkn4	47	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	47	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	47	12	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	47	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	48	1	After	after	IN
work_les4de22qzd4pkbxjnruyovkn4	48	2	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	48	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	48	4	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	48	5	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	48	6	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	48	7	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	48	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	48	9	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	48	10	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	48	11	create	create	VB
work_les4de22qzd4pkbxjnruyovkn4	48	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	48	13	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	48	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	48	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	48	16	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	48	17	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	48	18	partitions	partition	VBZ
work_les4de22qzd4pkbxjnruyovkn4	48	19	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	48	20	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	48	21	down	down	IN
work_les4de22qzd4pkbxjnruyovkn4	48	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	48	23	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	48	24	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	48	25	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	48	26	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	48	27	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	48	28	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	48	29	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	48	30	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	48	31	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	48	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	49	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	49	2	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	49	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	49	4	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	49	5	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	49	6	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	49	7	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	49	8	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	49	9	recursively	recursively	RB
work_les4de22qzd4pkbxjnruyovkn4	49	10	split	split	VBN
work_les4de22qzd4pkbxjnruyovkn4	49	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	49	12	continue	continue	VB
work_les4de22qzd4pkbxjnruyovkn4	49	13	growing	grow	VBG
work_les4de22qzd4pkbxjnruyovkn4	49	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	49	15	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	49	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	49	17	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	49	18	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	49	19	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	49	20	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	49	21	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	49	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	49	23	quality	quality	NN
work_les4de22qzd4pkbxjnruyovkn4	49	24	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	49	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	49	26	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	49	27	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	49	28	below	below	IN
work_les4de22qzd4pkbxjnruyovkn4	49	29	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	49	30	threshold	threshold	NN
work_les4de22qzd4pkbxjnruyovkn4	49	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	50	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	50	2	leaves	leave	NNS
work_les4de22qzd4pkbxjnruyovkn4	50	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	50	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	50	5	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	50	6	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	50	7	contain	contain	VB
work_les4de22qzd4pkbxjnruyovkn4	50	8	predictions	prediction	NNS
work_les4de22qzd4pkbxjnruyovkn4	50	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	50	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	50	11	target	target	NN
work_les4de22qzd4pkbxjnruyovkn4	50	12	label	label	NNP
work_les4de22qzd4pkbxjnruyovkn4	50	13	y.	y.	NNP
work_les4de22qzd4pkbxjnruyovkn4	51	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	51	2	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	51	3	labels	label	NNS
work_les4de22qzd4pkbxjnruyovkn4	51	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	51	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	51	6	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	51	7	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	51	8	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	51	9	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	51	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	51	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	51	12	majority	majority	NN
work_les4de22qzd4pkbxjnruyovkn4	51	13	class	class	NN
work_les4de22qzd4pkbxjnruyovkn4	51	14	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	51	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	51	16	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	51	17	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	51	18	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	51	19	end	end	VBP
work_les4de22qzd4pkbxjnruyovkn4	51	20	up	up	RP
work_les4de22qzd4pkbxjnruyovkn4	51	21	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	51	22	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	51	23	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	51	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	52	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	52	2	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	52	3	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	52	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	52	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	52	6	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	52	7	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	52	8	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	52	9	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	52	10	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	52	11	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	52	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	52	13	mean	mean	NN
work_les4de22qzd4pkbxjnruyovkn4	52	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	52	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	52	16	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	52	17	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	52	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	52	19	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	52	20	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	52	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	53	1	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	53	2	use	use	VB
work_les4de22qzd4pkbxjnruyovkn4	53	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	53	4	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	53	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	53	6	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	53	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	53	8	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	53	9	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	53	10	input	input	VB
work_les4de22qzd4pkbxjnruyovkn4	53	11	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	53	12	unlabelled	unlabelled	JJ
work_les4de22qzd4pkbxjnruyovkn4	53	13	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	53	14	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	53	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	53	16	root	root	NN
work_les4de22qzd4pkbxjnruyovkn4	53	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	53	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	53	19	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	53	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	53	21	follow	follow	VB
work_les4de22qzd4pkbxjnruyovkn4	53	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	53	23	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	53	24	rules	rule	NNS
work_les4de22qzd4pkbxjnruyovkn4	53	25	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	53	26	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	53	27	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	53	28	reaches	reach	VBZ
work_les4de22qzd4pkbxjnruyovkn4	53	29	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	53	30	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	53	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	54	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	54	2	unlabelled	unlabelled	JJ
work_les4de22qzd4pkbxjnruyovkn4	54	3	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	54	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	54	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	54	6	labelled	label	VBN
work_les4de22qzd4pkbxjnruyovkn4	54	7	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	54	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	54	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	54	10	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	54	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	54	12	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	54	13	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	54	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	55	1	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	55	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	55	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	55	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	55	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	55	6	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	55	7	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	55	8	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	55	9	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	55	10	predict	predict	VB
work_les4de22qzd4pkbxjnruyovkn4	55	11	whether	whether	IN
work_les4de22qzd4pkbxjnruyovkn4	55	12	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	55	13	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	55	14	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	55	15	individual	individual	NN
work_les4de22qzd4pkbxjnruyovkn4	55	16	owns	own	VBZ
work_les4de22qzd4pkbxjnruyovkn4	55	17	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	55	18	house	house	NN
work_les4de22qzd4pkbxjnruyovkn4	55	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	56	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	56	2	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	56	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	56	4	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	56	5	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	56	6	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	56	7	age	age	NN
work_les4de22qzd4pkbxjnruyovkn4	56	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	56	9	whether	whether	IN
work_les4de22qzd4pkbxjnruyovkn4	56	10	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	56	11	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	56	12	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	56	13	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	56	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	56	15	job	job	NN
work_les4de22qzd4pkbxjnruyovkn4	56	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	57	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	57	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	57	3	correctly	correctly	RB
work_les4de22qzd4pkbxjnruyovkn4	57	4	classifies	classify	VBZ
work_les4de22qzd4pkbxjnruyovkn4	57	5	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	57	6	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	57	7	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	57	8	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	57	9	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	57	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	58	1	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	58	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	58	3	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	58	4	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	58	5	expand	expand	VBP
work_les4de22qzd4pkbxjnruyovkn4	58	6	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	58	7	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	58	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	58	9	root	root	NN
work_les4de22qzd4pkbxjnruyovkn4	58	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	58	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	58	12	greedy	greedy	JJ
work_les4de22qzd4pkbxjnruyovkn4	58	13	manner	manner	NN
work_les4de22qzd4pkbxjnruyovkn4	58	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	58	15	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	58	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	58	17	maximise	maximise	VB
work_les4de22qzd4pkbxjnruyovkn4	58	18	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	58	19	criterion	criterion	NN
work_les4de22qzd4pkbxjnruyovkn4	58	20	measuring	measure	VBG
work_les4de22qzd4pkbxjnruyovkn4	58	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	58	22	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	58	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	58	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	58	25	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	58	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	59	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	59	2	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	59	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	59	4	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	59	5	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	59	6	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	59	7	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	59	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	59	9	C4.5	C4.5	NNP
work_les4de22qzd4pkbxjnruyovkn4	59	10	family	family	NN
work_les4de22qzd4pkbxjnruyovkn4	59	11	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	59	12	Quinlan	Quinlan	NNP
work_les4de22qzd4pkbxjnruyovkn4	59	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	59	14	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	59	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	59	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	59	17	designed	design	VBN
work_les4de22qzd4pkbxjnruyovkn4	59	18	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	59	19	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	59	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	59	21	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	59	22	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	59	23	Example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	59	24	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	59	25	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	59	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	60	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	60	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	60	3	Example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	60	4	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	60	5	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	60	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	61	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	61	2	Age	Age	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	3	Has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	61	4	job	job	NN
work_les4de22qzd4pkbxjnruyovkn4	61	5	Owns	Owns	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	6	house	house	NN
work_les4de22qzd4pkbxjnruyovkn4	61	7	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	61	8	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	61	9	N	N	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	10	N	n	CD
work_les4de22qzd4pkbxjnruyovkn4	61	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	61	12	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	61	13	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	61	14	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	61	15	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	61	16	25	25	CD
work_les4de22qzd4pkbxjnruyovkn4	61	17	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	61	18	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	61	19	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	61	20	48	48	CD
work_les4de22qzd4pkbxjnruyovkn4	61	21	N	n	NN
work_les4de22qzd4pkbxjnruyovkn4	61	22	N	n	CD
work_les4de22qzd4pkbxjnruyovkn4	61	23	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	61	24	67	67	CD
work_les4de22qzd4pkbxjnruyovkn4	61	25	N	n	CD
work_les4de22qzd4pkbxjnruyovkn4	61	26	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	61	27	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	61	28	18	18	CD
work_les4de22qzd4pkbxjnruyovkn4	61	29	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	61	30	N	N	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	31	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	32	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	61	33	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	34	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	61	35	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	61	36	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	61	37	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	61	38	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	39	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	61	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	62	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	62	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	62	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	62	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	62	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	62	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	62	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	62	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	62	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	62	10	3/37	3/37	CD
work_les4de22qzd4pkbxjnruyovkn4	62	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	62	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	62	13	use	use	VB
work_les4de22qzd4pkbxjnruyovkn4	62	14	information	information	NN
work_les4de22qzd4pkbxjnruyovkn4	62	15	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	62	16	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	62	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	62	18	split	split	JJ
work_les4de22qzd4pkbxjnruyovkn4	62	19	criterion	criterion	NN
work_les4de22qzd4pkbxjnruyovkn4	62	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	63	1	Information	information	NN
work_les4de22qzd4pkbxjnruyovkn4	63	2	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	63	3	describes	describe	VBZ
work_les4de22qzd4pkbxjnruyovkn4	63	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	63	5	change	change	NN
work_les4de22qzd4pkbxjnruyovkn4	63	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	63	7	entropy	entropy	JJ
work_les4de22qzd4pkbxjnruyovkn4	63	8	H	h	NN
work_les4de22qzd4pkbxjnruyovkn4	63	9	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	63	10	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	63	11	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	63	12	state	state	NN
work_les4de22qzd4pkbxjnruyovkn4	63	13	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	63	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	63	15	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	63	16	state	state	NN
work_les4de22qzd4pkbxjnruyovkn4	63	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	64	1	Entropy	Entropy	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	64	3	defined	define	VBN
work_les4de22qzd4pkbxjnruyovkn4	64	4	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	64	5	HðTÞ	HðTÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	6	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	64	7	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	8	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	9	y2Y	y2Y	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	10	PðyÞlogbPðyÞ	PðyÞlogbPðyÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	11	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	64	12	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	13	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	64	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	64	15	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	64	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	64	17	labelled	label	VBN
work_les4de22qzd4pkbxjnruyovkn4	64	18	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	64	19	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	64	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	64	21	y	y	LS
work_les4de22qzd4pkbxjnruyovkn4	64	22	∈	∈	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	23	Y	Y	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	24	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	64	25	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	64	26	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	64	27	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	64	28	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	64	29	P(y	P(y	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	30	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	64	31	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	64	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	64	33	probability	probability	NN
work_les4de22qzd4pkbxjnruyovkn4	64	34	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	64	35	drawing	draw	VBG
work_les4de22qzd4pkbxjnruyovkn4	64	36	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	64	37	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	64	38	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	64	39	label	label	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	40	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	41	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	64	42	T.	T.	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	43	Information	Information	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	44	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	64	45	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	64	46	defined	define	VBN
work_les4de22qzd4pkbxjnruyovkn4	64	47	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	64	48	IGðT	IGðT	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	49	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	64	50	Tleft	Tleft	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	51	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	64	52	TrightÞ	TrightÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	53	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	64	54	HT	HT	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	55	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	56	ðnleft	ðnleft	NN
work_les4de22qzd4pkbxjnruyovkn4	64	57	=	=	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	64	58	ntotalÞ	ntotalÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	59	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	60	HðTleftÞ	HðTleftÞ	NNS
work_les4de22qzd4pkbxjnruyovkn4	64	61	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	62	ðnright	ðnright	NN
work_les4de22qzd4pkbxjnruyovkn4	64	63	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	64	64	ntotalÞ	ntotalÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	65	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	66	HðTrightÞ	hðtrightþ	RB
work_les4de22qzd4pkbxjnruyovkn4	64	67	Here	here	RB
work_les4de22qzd4pkbxjnruyovkn4	64	68	Tleft	Tleft	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	69	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	64	70	Tright	Tright	NNP
work_les4de22qzd4pkbxjnruyovkn4	64	71	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	64	72	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	64	73	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	64	74	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	64	75	T	t	NN
work_les4de22qzd4pkbxjnruyovkn4	64	76	created	create	VBN
work_les4de22qzd4pkbxjnruyovkn4	64	77	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	64	78	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	64	79	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	64	80	rule	rule	NN
work_les4de22qzd4pkbxjnruyovkn4	64	81	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	65	1	ntotal	ntotal	NNP
work_les4de22qzd4pkbxjnruyovkn4	65	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	65	3	nleft	nleft	JJ
work_les4de22qzd4pkbxjnruyovkn4	65	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	65	5	nright	nright	NNP
work_les4de22qzd4pkbxjnruyovkn4	65	6	refer	refer	VBP
work_les4de22qzd4pkbxjnruyovkn4	65	7	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	65	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	65	9	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	65	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	65	11	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	65	12	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	65	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	65	14	respective	respective	JJ
work_les4de22qzd4pkbxjnruyovkn4	65	15	sets	set	NNS
work_les4de22qzd4pkbxjnruyovkn4	65	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	66	1	Many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	66	2	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	66	3	criteria	criterion	NNS
work_les4de22qzd4pkbxjnruyovkn4	66	4	exist	exist	VBP
work_les4de22qzd4pkbxjnruyovkn4	66	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	66	6	evaluating	evaluate	VBG
work_les4de22qzd4pkbxjnruyovkn4	66	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	66	8	quality	quality	NN
work_les4de22qzd4pkbxjnruyovkn4	66	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	66	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	66	11	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	66	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	67	1	Any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	67	2	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	67	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	67	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	67	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	67	6	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	67	7	produces	produce	VBZ
work_les4de22qzd4pkbxjnruyovkn4	67	8	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	67	9	meaningful	meaningful	JJ
work_les4de22qzd4pkbxjnruyovkn4	67	10	separation	separation	NN
work_les4de22qzd4pkbxjnruyovkn4	67	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	67	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	67	13	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	67	14	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	67	15	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	67	16	respect	respect	NN
work_les4de22qzd4pkbxjnruyovkn4	67	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	67	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	67	19	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	67	20	being	be	VBG
work_les4de22qzd4pkbxjnruyovkn4	67	21	predicted	predict	VBN
work_les4de22qzd4pkbxjnruyovkn4	67	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	68	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	68	2	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	68	3	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	68	4	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	68	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	68	6	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	68	7	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	68	8	maximises	maximise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	68	9	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	68	10	criterion	criterion	NN
work_les4de22qzd4pkbxjnruyovkn4	68	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	68	12	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	68	13	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	68	14	enumerate	enumerate	VB
work_les4de22qzd4pkbxjnruyovkn4	68	15	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	68	16	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	68	17	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	68	18	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	68	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	68	20	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	68	21	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	68	22	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	68	23	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	68	24	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	68	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	69	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	69	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	69	3	case	case	NN
work_les4de22qzd4pkbxjnruyovkn4	69	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	69	5	numerical	numerical	JJ
work_les4de22qzd4pkbxjnruyovkn4	69	6	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	69	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	69	8	assuming	assume	VBG
work_les4de22qzd4pkbxjnruyovkn4	69	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	69	10	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	69	11	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	69	12	been	be	VBN
work_les4de22qzd4pkbxjnruyovkn4	69	13	sorted	sort	VBN
work_les4de22qzd4pkbxjnruyovkn4	69	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	69	15	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	69	16	enumeration	enumeration	NN
work_les4de22qzd4pkbxjnruyovkn4	69	17	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	69	18	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	69	19	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	69	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	69	21	O(nm	o(nm	RB
work_les4de22qzd4pkbxjnruyovkn4	69	22	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	69	23	steps	step	NNS
work_les4de22qzd4pkbxjnruyovkn4	69	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	69	25	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	69	26	n	n	PRP
work_les4de22qzd4pkbxjnruyovkn4	69	27	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	69	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	69	29	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	69	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	69	31	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	69	32	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	69	33	m	m	NNP
work_les4de22qzd4pkbxjnruyovkn4	69	34	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	69	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	69	36	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	69	37	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	69	38	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	69	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	70	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	70	2	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	70	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	70	4	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	70	5	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	70	6	left	leave	VBN
work_les4de22qzd4pkbxjnruyovkn4	70	7	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	70	8	right	right	NN
work_les4de22qzd4pkbxjnruyovkn4	70	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	70	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	70	11	sorted	sorted	JJ
work_les4de22qzd4pkbxjnruyovkn4	70	12	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	70	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	70	14	maintaining	maintain	VBG
work_les4de22qzd4pkbxjnruyovkn4	70	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	70	16	running	run	VBG
work_les4de22qzd4pkbxjnruyovkn4	70	17	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	70	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	70	19	labels	label	NNS
work_les4de22qzd4pkbxjnruyovkn4	70	20	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	70	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	70	22	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	70	23	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	70	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	70	25	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	70	26	calculation	calculation	NN
work_les4de22qzd4pkbxjnruyovkn4	70	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	71	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	71	2	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	71	3	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	71	4	consider	consider	VB
work_les4de22qzd4pkbxjnruyovkn4	71	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	71	6	case	case	NN
work_les4de22qzd4pkbxjnruyovkn4	71	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	71	8	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	71	9	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	71	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	71	11	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	71	12	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	71	13	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	71	14	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	71	15	encodes	encode	VBZ
work_les4de22qzd4pkbxjnruyovkn4	71	16	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	71	17	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	71	18	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	71	19	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	71	20	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	71	21	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	71	22	hot	hot	JJ
work_les4de22qzd4pkbxjnruyovkn4	71	23	encoding	encoding	NN
work_les4de22qzd4pkbxjnruyovkn4	71	24	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	71	25	transforms	transform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	71	26	them	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	71	27	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	71	28	numerical	numerical	JJ
work_les4de22qzd4pkbxjnruyovkn4	71	29	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	71	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	72	1	Another	another	DT
work_les4de22qzd4pkbxjnruyovkn4	72	2	consideration	consideration	NN
work_les4de22qzd4pkbxjnruyovkn4	72	3	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	72	4	building	build	VBG
work_les4de22qzd4pkbxjnruyovkn4	72	5	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	72	6	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	72	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	72	8	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	72	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	72	10	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	72	11	regularisation	regularisation	NN
work_les4de22qzd4pkbxjnruyovkn4	72	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	72	13	prevent	prevent	VB
work_les4de22qzd4pkbxjnruyovkn4	72	14	overfitting	overfitting	NN
work_les4de22qzd4pkbxjnruyovkn4	72	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	73	1	Overfitting	overfitte	VBG
work_les4de22qzd4pkbxjnruyovkn4	73	2	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	73	3	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	73	4	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	73	5	leads	lead	VBZ
work_les4de22qzd4pkbxjnruyovkn4	73	6	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	73	7	poor	poor	JJ
work_les4de22qzd4pkbxjnruyovkn4	73	8	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	73	9	generalisation	generalisation	NN
work_les4de22qzd4pkbxjnruyovkn4	73	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	73	11	poor	poor	JJ
work_les4de22qzd4pkbxjnruyovkn4	73	12	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	73	13	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	73	14	test	test	NN
work_les4de22qzd4pkbxjnruyovkn4	73	15	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	73	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	74	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	74	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	74	3	sufficiently	sufficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	74	4	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	74	5	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	74	6	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	74	7	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	74	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	74	9	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	74	10	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	74	11	generate	generate	VB
work_les4de22qzd4pkbxjnruyovkn4	74	12	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	74	13	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	74	14	rules	rule	NNS
work_les4de22qzd4pkbxjnruyovkn4	74	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	74	16	every	every	DT
work_les4de22qzd4pkbxjnruyovkn4	74	17	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	74	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	74	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	74	20	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	74	21	set	set	VBD
work_les4de22qzd4pkbxjnruyovkn4	74	22	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	74	23	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	74	24	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	74	25	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	74	26	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	74	27	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	74	28	correctly	correctly	RB
work_les4de22qzd4pkbxjnruyovkn4	74	29	labelled	label	VBN
work_les4de22qzd4pkbxjnruyovkn4	74	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	75	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	75	2	results	result	VBZ
work_les4de22qzd4pkbxjnruyovkn4	75	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	75	4	100	100	CD
work_les4de22qzd4pkbxjnruyovkn4	75	5	%	%	NN
work_les4de22qzd4pkbxjnruyovkn4	75	6	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	75	7	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	75	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	75	9	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	75	10	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	75	11	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	75	12	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	75	13	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	75	14	poorly	poorly	RB
work_les4de22qzd4pkbxjnruyovkn4	75	15	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	75	16	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	75	17	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	75	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	76	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	76	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	76	3	reason	reason	NN
work_les4de22qzd4pkbxjnruyovkn4	76	4	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	76	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	76	6	necessary	necessary	JJ
work_les4de22qzd4pkbxjnruyovkn4	76	7	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	76	8	limit	limit	VB
work_les4de22qzd4pkbxjnruyovkn4	76	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	76	10	growth	growth	NN
work_les4de22qzd4pkbxjnruyovkn4	76	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	76	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	76	13	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	76	14	during	during	IN
work_les4de22qzd4pkbxjnruyovkn4	76	15	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	76	16	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	76	17	apply	apply	VB
work_les4de22qzd4pkbxjnruyovkn4	76	18	pruning	pruning	NN
work_les4de22qzd4pkbxjnruyovkn4	76	19	after	after	IN
work_les4de22qzd4pkbxjnruyovkn4	76	20	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	76	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	77	1	Gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	77	2	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	77	3	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	77	4	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	77	5	produce	produce	VBP
work_les4de22qzd4pkbxjnruyovkn4	77	6	interpretable	interpretable	JJ
work_les4de22qzd4pkbxjnruyovkn4	77	7	models	model	NNS
work_les4de22qzd4pkbxjnruyovkn4	77	8	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	77	9	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	77	10	useful	useful	JJ
work_les4de22qzd4pkbxjnruyovkn4	77	11	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	77	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	77	13	variety	variety	NN
work_les4de22qzd4pkbxjnruyovkn4	77	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	77	15	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	77	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	77	17	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	77	18	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	77	19	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	77	20	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	77	21	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	77	22	considerably	considerably	RB
work_les4de22qzd4pkbxjnruyovkn4	77	23	improved	improve	VBN
work_les4de22qzd4pkbxjnruyovkn4	77	24	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	77	25	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	77	26	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	77	27	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	77	28	combined	combine	VBN
work_les4de22qzd4pkbxjnruyovkn4	77	29	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	77	30	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	77	31	ensemble	ensemble	JJ
work_les4de22qzd4pkbxjnruyovkn4	77	32	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	77	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	78	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	78	2	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	78	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	78	4	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	78	5	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	78	6	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	78	7	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	78	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	78	9	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	78	10	classified	classify	VBN
work_les4de22qzd4pkbxjnruyovkn4	78	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	78	12	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	78	13	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	78	14	test	test	VB
work_les4de22qzd4pkbxjnruyovkn4	78	15	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	78	16	against	against	IN
work_les4de22qzd4pkbxjnruyovkn4	78	17	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	78	18	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	78	19	built	build	VBN
work_les4de22qzd4pkbxjnruyovkn4	78	20	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	78	21	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	78	22	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	78	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	78	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	78	25	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	78	26	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	78	27	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	78	28	return	return	VB
work_les4de22qzd4pkbxjnruyovkn4	78	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	78	30	mode	mode	NN
work_les4de22qzd4pkbxjnruyovkn4	78	31	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	78	32	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	78	33	predictions	prediction	NNS
work_les4de22qzd4pkbxjnruyovkn4	78	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	79	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	79	2	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	79	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	79	4	effect	effect	NN
work_les4de22qzd4pkbxjnruyovkn4	79	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	79	6	reducing	reduce	VBG
work_les4de22qzd4pkbxjnruyovkn4	79	7	classifier	classifier	NN
work_les4de22qzd4pkbxjnruyovkn4	79	8	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	79	9	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	79	10	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	79	11	reduces	reduce	VBZ
work_les4de22qzd4pkbxjnruyovkn4	79	12	variance	variance	NN
work_les4de22qzd4pkbxjnruyovkn4	79	13	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	79	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	79	15	estimate	estimate	NN
work_les4de22qzd4pkbxjnruyovkn4	79	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	79	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	79	18	classifier	classifier	NN
work_les4de22qzd4pkbxjnruyovkn4	79	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	80	1	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	80	2	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	80	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	80	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	80	5	ensemble	ensemble	NN
work_les4de22qzd4pkbxjnruyovkn4	80	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	80	7	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	80	8	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	80	9	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	80	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	81	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	81	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	81	3	predict	predict	VB
work_les4de22qzd4pkbxjnruyovkn4	81	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	81	5	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	81	6	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	81	7	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	81	8	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	81	9	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	81	10	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	81	11	taking	take	VBG
work_les4de22qzd4pkbxjnruyovkn4	81	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	81	13	most	most	RBS
work_les4de22qzd4pkbxjnruyovkn4	81	14	common	common	JJ
work_les4de22qzd4pkbxjnruyovkn4	81	15	class	class	NN
work_les4de22qzd4pkbxjnruyovkn4	81	16	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	81	17	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	81	18	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	81	19	weighted	weight	VBN
work_les4de22qzd4pkbxjnruyovkn4	81	20	average	average	NN
work_les4de22qzd4pkbxjnruyovkn4	81	21	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	81	22	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	81	23	predictions	prediction	NNS
work_les4de22qzd4pkbxjnruyovkn4	81	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	82	1	Ensemble	ensemble	JJ
work_les4de22qzd4pkbxjnruyovkn4	82	2	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	82	3	methods	method	NNS
work_les4de22qzd4pkbxjnruyovkn4	82	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	82	5	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	82	6	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	82	7	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	82	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	82	9	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	82	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	82	11	bias	bias	NN
work_les4de22qzd4pkbxjnruyovkn4	82	12	component	component	NN
work_les4de22qzd4pkbxjnruyovkn4	82	13	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	82	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	82	15	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	82	16	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	82	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	82	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	82	19	base	base	NN
work_les4de22qzd4pkbxjnruyovkn4	82	20	learner	learner	NN
work_les4de22qzd4pkbxjnruyovkn4	82	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	83	1	Boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	83	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	83	3	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	83	4	ensemble	ensemble	JJ
work_les4de22qzd4pkbxjnruyovkn4	83	5	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	83	6	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	83	7	creates	create	VBZ
work_les4de22qzd4pkbxjnruyovkn4	83	8	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	83	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	83	10	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	83	11	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	83	12	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	83	13	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	83	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	83	15	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	83	16	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	83	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	84	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	84	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	84	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	84	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	84	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	84	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	84	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	84	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	84	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	84	10	4/37	4/37	CD
work_les4de22qzd4pkbxjnruyovkn4	84	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	84	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_les4de22qzd4pkbxjnruyovkn4	84	13	ensemble	ensemble	JJ
work_les4de22qzd4pkbxjnruyovkn4	84	14	members	member	NNS
work_les4de22qzd4pkbxjnruyovkn4	84	15	sequentially	sequentially	RB
work_les4de22qzd4pkbxjnruyovkn4	84	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	85	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	85	2	newest	new	JJS
work_les4de22qzd4pkbxjnruyovkn4	85	3	member	member	NN
work_les4de22qzd4pkbxjnruyovkn4	85	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	85	5	created	create	VBN
work_les4de22qzd4pkbxjnruyovkn4	85	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	85	7	compensate	compensate	VB
work_les4de22qzd4pkbxjnruyovkn4	85	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	85	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	85	10	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	85	11	incorrectly	incorrectly	RB
work_les4de22qzd4pkbxjnruyovkn4	85	12	labelled	label	VBN
work_les4de22qzd4pkbxjnruyovkn4	85	13	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	85	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	85	15	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	85	16	learners	learner	NNS
work_les4de22qzd4pkbxjnruyovkn4	85	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	86	1	Gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	86	2	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	86	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	86	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	86	5	variation	variation	NN
work_les4de22qzd4pkbxjnruyovkn4	86	6	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	86	7	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	86	8	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	86	9	represents	represent	VBZ
work_les4de22qzd4pkbxjnruyovkn4	86	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	86	11	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	86	12	problem	problem	NN
work_les4de22qzd4pkbxjnruyovkn4	86	13	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	86	14	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	86	15	descent	descent	NN
work_les4de22qzd4pkbxjnruyovkn4	86	16	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	86	17	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	86	18	arbitrary	arbitrary	JJ
work_les4de22qzd4pkbxjnruyovkn4	86	19	differentiable	differentiable	JJ
work_les4de22qzd4pkbxjnruyovkn4	86	20	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	86	21	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	86	22	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	86	23	measures	measure	VBZ
work_les4de22qzd4pkbxjnruyovkn4	86	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	86	25	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	86	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	86	27	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	86	28	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	86	29	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	86	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	86	31	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	86	32	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	86	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	87	1	More	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	87	2	specifically	specifically	RB
work_les4de22qzd4pkbxjnruyovkn4	87	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	87	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	87	5	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	87	6	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	87	7	executes	execute	VBZ
work_les4de22qzd4pkbxjnruyovkn4	87	8	M	m	NN
work_les4de22qzd4pkbxjnruyovkn4	87	9	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	87	10	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	87	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	87	12	learn	learn	VB
work_les4de22qzd4pkbxjnruyovkn4	87	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	87	14	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	87	15	F(x	f(x	NN
work_les4de22qzd4pkbxjnruyovkn4	87	16	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	87	17	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	87	18	outputs	output	VBZ
work_les4de22qzd4pkbxjnruyovkn4	87	19	predictions	prediction	NNS
work_les4de22qzd4pkbxjnruyovkn4	87	20	ŷ	ŷ	NNP
work_les4de22qzd4pkbxjnruyovkn4	87	21	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	87	22	FðxÞ	fðxþ	NN
work_les4de22qzd4pkbxjnruyovkn4	87	23	minimising	minimise	VBG
work_les4de22qzd4pkbxjnruyovkn4	87	24	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	87	25	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	87	26	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	87	27	Lðy	Lðy	NNP
work_les4de22qzd4pkbxjnruyovkn4	87	28	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	87	29	ŷÞ.	ŷþ.	NN
work_les4de22qzd4pkbxjnruyovkn4	88	1	At	at	IN
work_les4de22qzd4pkbxjnruyovkn4	88	2	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	88	3	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	88	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	88	5	add	add	VBP
work_les4de22qzd4pkbxjnruyovkn4	88	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	88	7	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	88	8	estimator	estimator	NN
work_les4de22qzd4pkbxjnruyovkn4	88	9	f(x	f(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	88	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	88	12	try	try	VB
work_les4de22qzd4pkbxjnruyovkn4	88	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	88	14	correct	correct	VB
work_les4de22qzd4pkbxjnruyovkn4	88	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	88	16	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	88	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	88	18	y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	88	19	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	88	20	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	88	21	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	88	22	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	88	23	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	88	24	Fmþ1ðxÞ	fmþ1ðxþ	XX
work_les4de22qzd4pkbxjnruyovkn4	88	25	¼	¼	JJ
work_les4de22qzd4pkbxjnruyovkn4	88	26	FmðxÞ	FmðxÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	27	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	28	f	f	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	29	ðxÞ	ðxþ	RBR
work_les4de22qzd4pkbxjnruyovkn4	88	30	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	88	31	y	y	FW
work_les4de22qzd4pkbxjnruyovkn4	88	32	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	88	33	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	88	34	correct	correct	VB
work_les4de22qzd4pkbxjnruyovkn4	88	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	88	36	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	88	37	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	88	38	setting	set	VBG
work_les4de22qzd4pkbxjnruyovkn4	88	39	f(x	f(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	40	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	88	41	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	88	42	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	88	43	f	f	LS
work_les4de22qzd4pkbxjnruyovkn4	88	44	ðxÞ	ðxþ	RBR
work_les4de22qzd4pkbxjnruyovkn4	88	45	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	46	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	47	�	�	:
work_les4de22qzd4pkbxjnruyovkn4	88	48	FmðxÞ	FmðxÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	49	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	88	50	fits	fit	VBZ
work_les4de22qzd4pkbxjnruyovkn4	88	51	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	88	52	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	88	53	f(x	f(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	54	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	88	55	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	88	56	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	88	57	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	88	58	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	88	59	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	88	60	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	88	61	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	88	62	residuals	residual	NNS
work_les4de22qzd4pkbxjnruyovkn4	88	63	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	64	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	88	65	Fm(x	Fm(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	88	66	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	88	67	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	88	68	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	88	69	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	88	70	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	88	71	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	89	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	89	2	practice	practice	NN
work_les4de22qzd4pkbxjnruyovkn4	89	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	89	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	89	5	approximate	approximate	VBP
work_les4de22qzd4pkbxjnruyovkn4	89	6	f(x	f(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	89	7	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	89	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	89	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	89	10	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	89	11	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	89	12	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	89	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	89	14	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	89	15	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	89	16	limited	limit	VBN
work_les4de22qzd4pkbxjnruyovkn4	89	17	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	89	18	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	89	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	90	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	90	2	iterative	iterative	JJ
work_les4de22qzd4pkbxjnruyovkn4	90	3	process	process	NN
work_les4de22qzd4pkbxjnruyovkn4	90	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	90	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	90	6	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	90	7	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	90	8	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	90	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	90	10	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	90	11	descent	descent	NN
work_les4de22qzd4pkbxjnruyovkn4	90	12	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	90	13	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	90	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	90	15	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	90	16	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	90	17	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	90	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	90	19	squared	squared	JJ
work_les4de22qzd4pkbxjnruyovkn4	90	20	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	90	21	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	90	22	Lðy	Lðy	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	23	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	90	24	FðxÞÞ	FðxÞÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	25	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	26	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	90	27	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	90	28	ðy	ðy	IN
work_les4de22qzd4pkbxjnruyovkn4	90	29	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	30	FðxÞÞ2	FðxÞÞ2	NNS
work_les4de22qzd4pkbxjnruyovkn4	90	31	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	90	32	see	see	VB
work_les4de22qzd4pkbxjnruyovkn4	90	33	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	90	34	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	90	35	consider	consider	VB
work_les4de22qzd4pkbxjnruyovkn4	90	36	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	90	37	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	90	38	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	90	39	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	90	40	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	90	41	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	90	42	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	90	43	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	90	44	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	90	45	written	write	VBN
work_les4de22qzd4pkbxjnruyovkn4	90	46	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	90	47	J	J	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	48	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	49	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	50	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	90	51	Lðyi	lðyi	VBP
work_les4de22qzd4pkbxjnruyovkn4	90	52	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	90	53	FðxiÞÞ	FðxiÞÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	54	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	90	55	seek	seek	VBP
work_les4de22qzd4pkbxjnruyovkn4	90	56	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	90	57	minimise	minimise	VB
work_les4de22qzd4pkbxjnruyovkn4	90	58	J	J	NNP
work_les4de22qzd4pkbxjnruyovkn4	90	59	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	90	60	adjusting	adjust	VBG
work_les4de22qzd4pkbxjnruyovkn4	90	61	F(xi	f(xi	NN
work_les4de22qzd4pkbxjnruyovkn4	90	62	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	90	63	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	91	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	91	2	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	91	3	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	91	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	91	5	particular	particular	JJ
work_les4de22qzd4pkbxjnruyovkn4	91	6	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	91	7	xi	xi	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	91	9	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	91	10	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	91	11	dJ	dJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	12	dFðxiÞ	dFðxiÞ	``
work_les4de22qzd4pkbxjnruyovkn4	91	13	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	14	d	d	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	15	P	p	NN
work_les4de22qzd4pkbxjnruyovkn4	91	16	i	i	NN
work_les4de22qzd4pkbxjnruyovkn4	91	17	Lðyi	Lðyi	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	18	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	91	19	FðxiÞÞ	FðxiÞÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	20	dFðxiÞ	dFðxiÞ	VBZ
work_les4de22qzd4pkbxjnruyovkn4	91	21	¼	¼	JJ
work_les4de22qzd4pkbxjnruyovkn4	91	22	dLðyi	dlðyi	XX
work_les4de22qzd4pkbxjnruyovkn4	91	23	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	91	24	FðxiÞÞ	FðxiÞÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	25	dFðxiÞ	dFðxiÞ	VBZ
work_les4de22qzd4pkbxjnruyovkn4	91	26	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	91	27	FmðxiÞ	fmðxiþ	FW
work_les4de22qzd4pkbxjnruyovkn4	91	28	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	91	29	yi	yi	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	30	Figure	Figure	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	31	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	91	32	Decision	Decision	NNP
work_les4de22qzd4pkbxjnruyovkn4	91	33	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	91	34	ensemble	ensemble	NN
work_les4de22qzd4pkbxjnruyovkn4	91	35	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	92	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	92	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	92	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	92	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	92	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	92	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	92	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	92	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	92	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	92	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	93	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	93	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	93	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	93	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	93	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	10	5/37	5/37	CD
work_les4de22qzd4pkbxjnruyovkn4	93	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	93	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	PRP
work_les4de22qzd4pkbxjnruyovkn4	93	13	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	93	14	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	93	15	see	see	VB
work_les4de22qzd4pkbxjnruyovkn4	93	16	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	93	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	93	18	residuals	residual	NNS
work_les4de22qzd4pkbxjnruyovkn4	93	19	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	93	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	93	21	negative	negative	JJ
work_les4de22qzd4pkbxjnruyovkn4	93	22	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	93	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	93	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	93	25	squared	square	VBN
work_les4de22qzd4pkbxjnruyovkn4	93	26	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	93	27	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	93	28	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	93	29	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	93	30	f	f	LS
work_les4de22qzd4pkbxjnruyovkn4	93	31	ðxÞ	ðxþ	RBR
work_les4de22qzd4pkbxjnruyovkn4	93	32	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	33	y	y	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	34	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	35	FmðxÞ	FmðxÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	36	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	93	37	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	38	dLðy	dLðy	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	39	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	93	40	FðxÞÞ	FðxÞÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	93	41	dFðxÞ	dfðxþ	FW
work_les4de22qzd4pkbxjnruyovkn4	93	42	By	by	IN
work_les4de22qzd4pkbxjnruyovkn4	93	43	adding	add	VBG
work_les4de22qzd4pkbxjnruyovkn4	93	44	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	93	45	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	93	46	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	93	47	approximates	approximate	VBZ
work_les4de22qzd4pkbxjnruyovkn4	93	48	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	93	49	negative	negative	JJ
work_les4de22qzd4pkbxjnruyovkn4	93	50	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	93	51	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	93	52	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	93	53	ensemble	ensemble	NN
work_les4de22qzd4pkbxjnruyovkn4	93	54	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	93	55	move	move	VBP
work_les4de22qzd4pkbxjnruyovkn4	93	56	closer	close	RBR
work_les4de22qzd4pkbxjnruyovkn4	93	57	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	93	58	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	93	59	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	93	60	minimum	minimum	NN
work_les4de22qzd4pkbxjnruyovkn4	93	61	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	93	62	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	93	63	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	93	64	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	93	65	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	93	66	thus	thus	RB
work_les4de22qzd4pkbxjnruyovkn4	93	67	implementing	implement	VBG
work_les4de22qzd4pkbxjnruyovkn4	93	68	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	93	69	descent	descent	NN
work_les4de22qzd4pkbxjnruyovkn4	93	70	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	94	1	Generalised	generalise	VBN
work_les4de22qzd4pkbxjnruyovkn4	94	2	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	94	3	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	94	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	94	5	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	94	6	Herein	Herein	NNP
work_les4de22qzd4pkbxjnruyovkn4	94	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	94	8	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	94	9	derive	derive	VBP
work_les4de22qzd4pkbxjnruyovkn4	94	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	94	11	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	94	12	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	94	13	following	follow	VBG
work_les4de22qzd4pkbxjnruyovkn4	94	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	94	15	explanation	explanation	NN
work_les4de22qzd4pkbxjnruyovkn4	94	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	94	17	Chen	Chen	NNP
work_les4de22qzd4pkbxjnruyovkn4	94	18	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	94	19	Guestrin	Guestrin	NNP
work_les4de22qzd4pkbxjnruyovkn4	94	20	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	94	21	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	94	22	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	94	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	95	1	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	95	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	95	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	95	4	generalised	generalised	JJ
work_les4de22qzd4pkbxjnruyovkn4	95	5	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	95	6	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	95	7	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	95	8	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	95	9	includes	include	VBZ
work_les4de22qzd4pkbxjnruyovkn4	95	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	95	11	regularisation	regularisation	NN
work_les4de22qzd4pkbxjnruyovkn4	95	12	term	term	NN
work_les4de22qzd4pkbxjnruyovkn4	95	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	95	14	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	95	15	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	95	16	combat	combat	VB
work_les4de22qzd4pkbxjnruyovkn4	95	17	overfitting	overfitting	NN
work_les4de22qzd4pkbxjnruyovkn4	95	18	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	95	19	as	as	RB
work_les4de22qzd4pkbxjnruyovkn4	95	20	well	well	RB
work_les4de22qzd4pkbxjnruyovkn4	95	21	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	95	22	support	support	NN
work_les4de22qzd4pkbxjnruyovkn4	95	23	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	95	24	arbitrary	arbitrary	JJ
work_les4de22qzd4pkbxjnruyovkn4	95	25	differentiable	differentiable	JJ
work_les4de22qzd4pkbxjnruyovkn4	95	26	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	95	27	functions	function	NNS
work_les4de22qzd4pkbxjnruyovkn4	95	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	96	1	Instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	96	2	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	96	3	optimising	optimise	VBG
work_les4de22qzd4pkbxjnruyovkn4	96	4	plain	plain	RB
work_les4de22qzd4pkbxjnruyovkn4	96	5	squared	squared	JJ
work_les4de22qzd4pkbxjnruyovkn4	96	6	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	96	7	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	96	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	96	9	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	96	10	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	96	11	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	96	12	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	96	13	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	96	14	parts	part	NNS
work_les4de22qzd4pkbxjnruyovkn4	96	15	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	96	16	defined	define	VBN
work_les4de22qzd4pkbxjnruyovkn4	96	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	96	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	96	19	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	96	20	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	96	21	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	96	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	96	23	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	96	24	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	96	25	as	as	RB
work_les4de22qzd4pkbxjnruyovkn4	96	26	well	well	RB
work_les4de22qzd4pkbxjnruyovkn4	96	27	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	96	28	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	96	29	regularisation	regularisation	NN
work_les4de22qzd4pkbxjnruyovkn4	96	30	term	term	NN
work_les4de22qzd4pkbxjnruyovkn4	96	31	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	96	32	penalises	penalise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	96	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	96	34	complexity	complexity	NN
work_les4de22qzd4pkbxjnruyovkn4	96	35	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	96	36	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	96	37	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	96	38	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	96	39	Obj	Obj	NNP
work_les4de22qzd4pkbxjnruyovkn4	96	40	¼	¼	FW
work_les4de22qzd4pkbxjnruyovkn4	96	41	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	96	42	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	96	43	Lðyi	lðyi	VBP
work_les4de22qzd4pkbxjnruyovkn4	96	44	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	96	45	ŷiÞ	ŷiÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	96	46	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	96	47	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	96	48	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	96	49	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	96	50	ðfkÞ	ðfkþ	CD
work_les4de22qzd4pkbxjnruyovkn4	96	51	Lðyi	Lðyi	NNP
work_les4de22qzd4pkbxjnruyovkn4	96	52	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	96	53	ŷiÞ	ŷiþ	PRP
work_les4de22qzd4pkbxjnruyovkn4	96	54	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	96	55	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	96	56	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	96	57	convex	convex	NNP
work_les4de22qzd4pkbxjnruyovkn4	96	58	differentiable	differentiable	JJ
work_les4de22qzd4pkbxjnruyovkn4	96	59	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	96	60	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	96	61	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	96	62	measures	measure	VBZ
work_les4de22qzd4pkbxjnruyovkn4	96	63	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	96	64	difference	difference	NN
work_les4de22qzd4pkbxjnruyovkn4	96	65	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	96	66	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	96	67	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	96	68	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	96	69	true	true	JJ
work_les4de22qzd4pkbxjnruyovkn4	96	70	label	label	NN
work_les4de22qzd4pkbxjnruyovkn4	96	71	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	96	72	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	96	73	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	96	74	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	96	75	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	96	76	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	97	1	Ω(fk	Ω(fk	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	2	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	97	3	describes	describe	VBZ
work_les4de22qzd4pkbxjnruyovkn4	97	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	97	5	complexity	complexity	NN
work_les4de22qzd4pkbxjnruyovkn4	97	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	97	7	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	97	8	fk	fk	UH
work_les4de22qzd4pkbxjnruyovkn4	97	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	97	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	97	11	defined	define	VBN
work_les4de22qzd4pkbxjnruyovkn4	97	12	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	97	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	97	14	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	15	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	97	16	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	97	17	Chen	Chen	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	18	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	97	19	Guestrin	Guestrin	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	97	21	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	97	22	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	97	23	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	97	24	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	25	ðfkÞ	ðfkÞ	,
work_les4de22qzd4pkbxjnruyovkn4	97	26	¼	¼	RB
work_les4de22qzd4pkbxjnruyovkn4	97	27	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	28	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	29	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	97	30	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	97	31	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	97	32	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	97	33	w2	w2	JJ
work_les4de22qzd4pkbxjnruyovkn4	97	34	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	97	35	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	97	36	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	97	37	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	97	38	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	39	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	97	40	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	97	41	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	97	42	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	97	43	leaves	leave	NNS
work_les4de22qzd4pkbxjnruyovkn4	97	44	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	97	45	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	97	46	fk	fk	UH
work_les4de22qzd4pkbxjnruyovkn4	97	47	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	97	48	w	w	NNP
work_les4de22qzd4pkbxjnruyovkn4	97	49	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	97	50	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	97	51	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	97	52	weights	weight	NNS
work_les4de22qzd4pkbxjnruyovkn4	97	53	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	97	54	i.e.	i.e.	FW
work_les4de22qzd4pkbxjnruyovkn4	98	1	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	98	2	predicted	predict	VBN
work_les4de22qzd4pkbxjnruyovkn4	98	3	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	98	4	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	98	5	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	98	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	98	7	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	98	8	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	98	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	98	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	99	1	When	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	99	2	Ω(fk	Ω(fk	NNP
work_les4de22qzd4pkbxjnruyovkn4	99	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	99	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	99	5	included	include	VBN
work_les4de22qzd4pkbxjnruyovkn4	99	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	99	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	99	8	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	99	9	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	99	10	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	99	11	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	99	12	forced	force	VBN
work_les4de22qzd4pkbxjnruyovkn4	99	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	99	14	optimise	optimise	VB
work_les4de22qzd4pkbxjnruyovkn4	99	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	99	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	99	17	less	less	RBR
work_les4de22qzd4pkbxjnruyovkn4	99	18	complex	complex	JJ
work_les4de22qzd4pkbxjnruyovkn4	99	19	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	99	20	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	99	21	simultaneously	simultaneously	RB
work_les4de22qzd4pkbxjnruyovkn4	99	22	minimises	minimise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	99	23	Lðyi	Lðyi	NNP
work_les4de22qzd4pkbxjnruyovkn4	99	24	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	99	25	ŷiÞ.	ŷiþ.	ADD
work_les4de22qzd4pkbxjnruyovkn4	100	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	100	2	helps	help	VBZ
work_les4de22qzd4pkbxjnruyovkn4	100	3	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	100	4	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	100	5	overfitting	overfitting	NN
work_les4de22qzd4pkbxjnruyovkn4	100	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	101	1	�	�	:
work_les4de22qzd4pkbxjnruyovkn4	101	2	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	101	3	provides	provide	VBZ
work_les4de22qzd4pkbxjnruyovkn4	101	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	101	5	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	101	6	penalty	penalty	NN
work_les4de22qzd4pkbxjnruyovkn4	101	7	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	101	8	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	101	9	additional	additional	JJ
work_les4de22qzd4pkbxjnruyovkn4	101	10	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	101	11	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	101	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	101	13	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	101	14	w2	w2	JJ
work_les4de22qzd4pkbxjnruyovkn4	101	15	penalises	penalise	NNS
work_les4de22qzd4pkbxjnruyovkn4	101	16	extreme	extreme	JJ
work_les4de22qzd4pkbxjnruyovkn4	101	17	weights	weight	NNS
work_les4de22qzd4pkbxjnruyovkn4	101	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	102	1	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	102	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	102	3	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	102	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	102	5	user	user	NN
work_les4de22qzd4pkbxjnruyovkn4	102	6	configurable	configurable	JJ
work_les4de22qzd4pkbxjnruyovkn4	102	7	parameters	parameter	NNS
work_les4de22qzd4pkbxjnruyovkn4	102	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	103	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	103	2	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	103	3	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	103	4	proceeds	proceed	NNS
work_les4de22qzd4pkbxjnruyovkn4	103	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	103	6	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	103	7	iterative	iterative	JJ
work_les4de22qzd4pkbxjnruyovkn4	103	8	manner	manner	NN
work_les4de22qzd4pkbxjnruyovkn4	103	9	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	103	10	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	103	11	state	state	VB
work_les4de22qzd4pkbxjnruyovkn4	103	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	103	13	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	103	14	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	103	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	103	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	103	17	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	103	18	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	103	19	m	m	NN
work_les4de22qzd4pkbxjnruyovkn4	103	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	103	21	terms	term	NNS
work_les4de22qzd4pkbxjnruyovkn4	103	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	103	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	103	24	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	103	25	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	103	26	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	103	27	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	103	28	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	103	29	ŷi	ŷi	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	30	ðm	ðm	IN
work_les4de22qzd4pkbxjnruyovkn4	103	31	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	32	1Þ	1þ	NN
work_les4de22qzd4pkbxjnruyovkn4	103	33	adjusted	adjust	VBN
work_les4de22qzd4pkbxjnruyovkn4	103	34	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	103	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	103	36	newest	new	JJS
work_les4de22qzd4pkbxjnruyovkn4	103	37	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	103	38	fk	fk	UH
work_les4de22qzd4pkbxjnruyovkn4	103	39	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	103	40	Objm	Objm	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	41	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	103	42	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	103	43	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	103	44	Lðyi	lðyi	VBP
work_les4de22qzd4pkbxjnruyovkn4	103	45	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	103	46	ŷiðm	ŷiðm	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	47	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	48	1Þ	1þ	NN
work_les4de22qzd4pkbxjnruyovkn4	103	49	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	50	fkðxiÞÞ	fkðxiÞÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	51	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	103	52	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	103	53	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	103	54	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	103	55	ðfkÞ	ðfkþ	CD
work_les4de22qzd4pkbxjnruyovkn4	103	56	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	103	57	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	103	58	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	103	59	optimise	optimise	VB
work_les4de22qzd4pkbxjnruyovkn4	103	60	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	103	61	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	103	62	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	103	63	fk	fk	UH
work_les4de22qzd4pkbxjnruyovkn4	103	64	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	103	65	minimises	minimise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	103	66	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	103	67	objective	objective	NN
work_les4de22qzd4pkbxjnruyovkn4	103	68	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	104	1	Taking	take	VBG
work_les4de22qzd4pkbxjnruyovkn4	104	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	104	3	Taylor	Taylor	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	4	expansion	expansion	NN
work_les4de22qzd4pkbxjnruyovkn4	104	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	104	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	104	7	above	above	JJ
work_les4de22qzd4pkbxjnruyovkn4	104	8	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	104	9	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	104	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	104	11	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	104	12	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	104	13	allows	allow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	104	14	us	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	104	15	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	104	16	easily	easily	RB
work_les4de22qzd4pkbxjnruyovkn4	104	17	accommodate	accommodate	VB
work_les4de22qzd4pkbxjnruyovkn4	104	18	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	104	19	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	104	20	functions	function	NNS
work_les4de22qzd4pkbxjnruyovkn4	104	21	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	104	22	Objm	Objm	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	23	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	104	24	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	104	25	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	104	26	½Lðyi	½lðyi	VBP
work_les4de22qzd4pkbxjnruyovkn4	104	27	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	104	28	ŷiðm	ŷiðm	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	29	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	30	1ÞÞ	1þþ	CD
work_les4de22qzd4pkbxjnruyovkn4	104	31	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	104	32	gifkðxÞ	gifkðxÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	33	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	104	34	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	104	35	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	104	36	hifkðxÞ2	hifkðxþ2	CD
work_les4de22qzd4pkbxjnruyovkn4	104	37	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	104	38	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	39	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	104	40	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	104	41	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	104	42	ðfkÞ	ðfkþ	CD
work_les4de22qzd4pkbxjnruyovkn4	104	43	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	104	44	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	104	45	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	46	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	104	47	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	48	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	104	49	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	104	50	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	104	51	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	104	52	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	53	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	104	54	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	105	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	105	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	105	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	105	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	105	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	10	6/37	6/37	CD
work_les4de22qzd4pkbxjnruyovkn4	105	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	105	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	13	Here	here	RB
work_les4de22qzd4pkbxjnruyovkn4	105	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	105	15	gi	gi	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	16	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	105	17	hi	hi	UH
work_les4de22qzd4pkbxjnruyovkn4	105	18	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	105	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	105	20	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	105	21	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	105	22	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	105	23	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	105	24	derivatives	derivative	NNS
work_les4de22qzd4pkbxjnruyovkn4	105	25	respectively	respectively	RB
work_les4de22qzd4pkbxjnruyovkn4	105	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	105	27	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	105	28	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	105	29	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	105	30	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	105	31	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	105	32	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	105	33	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	105	34	gi	gi	NN
work_les4de22qzd4pkbxjnruyovkn4	105	35	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	36	dLðyi	dlðyi	XX
work_les4de22qzd4pkbxjnruyovkn4	105	37	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	105	38	ŷiðm	ŷiðm	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	39	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	40	1ÞÞ	1þþ	CD
work_les4de22qzd4pkbxjnruyovkn4	105	41	dŷi	dŷi	NNPS
work_les4de22qzd4pkbxjnruyovkn4	105	42	ðm	ðm	SYM
work_les4de22qzd4pkbxjnruyovkn4	105	43	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	44	1Þ	1þ	NN
work_les4de22qzd4pkbxjnruyovkn4	105	45	hi	hi	UH
work_les4de22qzd4pkbxjnruyovkn4	105	46	¼	¼	JJ
work_les4de22qzd4pkbxjnruyovkn4	105	47	d2Lðyi	d2Lðyi	NNPS
work_les4de22qzd4pkbxjnruyovkn4	105	48	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	105	49	ŷiðm	ŷiðm	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	50	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	51	1ÞÞ	1þþ	CD
work_les4de22qzd4pkbxjnruyovkn4	105	52	dðŷiðm	dðŷiðm	CD
work_les4de22qzd4pkbxjnruyovkn4	105	53	�	�	:
work_les4de22qzd4pkbxjnruyovkn4	105	54	1ÞÞ	1þþ	CD
work_les4de22qzd4pkbxjnruyovkn4	105	55	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	105	56	Note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	105	57	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	105	58	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	105	59	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	105	60	ŷi	ŷi	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	61	ðm	ðm	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	62	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	105	63	1Þ	1þ	NN
work_les4de22qzd4pkbxjnruyovkn4	105	64	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	105	65	left	leave	VBN
work_les4de22qzd4pkbxjnruyovkn4	105	66	unchanged	unchanged	JJ
work_les4de22qzd4pkbxjnruyovkn4	105	67	during	during	IN
work_les4de22qzd4pkbxjnruyovkn4	105	68	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	105	69	optimisation	optimisation	NN
work_les4de22qzd4pkbxjnruyovkn4	105	70	process	process	NN
work_les4de22qzd4pkbxjnruyovkn4	105	71	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	106	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	106	2	simplified	simplified	JJ
work_les4de22qzd4pkbxjnruyovkn4	106	3	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	106	4	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	106	5	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	106	6	constants	constant	NNS
work_les4de22qzd4pkbxjnruyovkn4	106	7	removed	remove	VBN
work_les4de22qzd4pkbxjnruyovkn4	106	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	106	9	Objm	Objm	NNP
work_les4de22qzd4pkbxjnruyovkn4	106	10	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	106	11	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	106	12	i	i	NN
work_les4de22qzd4pkbxjnruyovkn4	106	13	½gifkðxÞ	½gifkðxÞ	.
work_les4de22qzd4pkbxjnruyovkn4	106	14	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	106	15	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	106	16	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	106	17	hifkðxÞ2	hifkðxþ2	CD
work_les4de22qzd4pkbxjnruyovkn4	106	18	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	106	19	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	106	20	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	106	21	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	106	22	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	106	23	ðfkÞ	ðfkþ	CD
work_les4de22qzd4pkbxjnruyovkn4	106	24	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	106	25	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	106	26	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	106	27	make	make	VB
work_les4de22qzd4pkbxjnruyovkn4	106	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	106	29	observation	observation	NN
work_les4de22qzd4pkbxjnruyovkn4	106	30	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	106	31	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	106	32	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	106	33	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	106	34	predicts	predict	VBZ
work_les4de22qzd4pkbxjnruyovkn4	106	35	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	106	36	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	106	37	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	106	38	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	106	39	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	106	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	107	1	fk(x	fk(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	107	2	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	107	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	107	4	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	107	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	107	6	represented	represent	VBN
work_les4de22qzd4pkbxjnruyovkn4	107	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	107	8	wq(x	wq(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	107	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	107	10	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	107	11	w	w	NNP
work_les4de22qzd4pkbxjnruyovkn4	107	12	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	107	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	107	14	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	107	15	containing	contain	VBG
work_les4de22qzd4pkbxjnruyovkn4	107	16	scores	score	NNS
work_les4de22qzd4pkbxjnruyovkn4	107	17	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	107	18	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	107	19	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	107	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	107	21	q(x	q(x	JJ
work_les4de22qzd4pkbxjnruyovkn4	107	22	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	107	23	maps	map	VBZ
work_les4de22qzd4pkbxjnruyovkn4	107	24	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	107	25	x	x	RB
work_les4de22qzd4pkbxjnruyovkn4	107	26	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	107	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	107	28	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	107	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	108	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	108	2	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	108	3	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	108	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	108	5	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	108	6	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	108	7	modified	modify	VBN
work_les4de22qzd4pkbxjnruyovkn4	108	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	108	9	sum	sum	VB
work_les4de22qzd4pkbxjnruyovkn4	108	10	over	over	RP
work_les4de22qzd4pkbxjnruyovkn4	108	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	108	12	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	108	13	leaves	leave	NNS
work_les4de22qzd4pkbxjnruyovkn4	108	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	108	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	108	16	regularisation	regularisation	NN
work_les4de22qzd4pkbxjnruyovkn4	108	17	term	term	NN
work_les4de22qzd4pkbxjnruyovkn4	108	18	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	108	19	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	108	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	109	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	109	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	109	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	109	4	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	109	5	Objm	Objm	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	6	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	109	7	XT	xt	NN
work_les4de22qzd4pkbxjnruyovkn4	109	8	j¼1	j¼1	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	9	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	10	i2Ij	i2Ij	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	11	gi	gi	UH
work_les4de22qzd4pkbxjnruyovkn4	109	12	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	109	13	@	@	SYM
work_les4de22qzd4pkbxjnruyovkn4	109	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	109	15	AwqðxÞ	AwqðxÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	16	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	17	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	109	18	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	109	19	X	X	NNS
work_les4de22qzd4pkbxjnruyovkn4	109	20	i2Ij	i2Ij	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	21	hi	hi	UH
work_les4de22qzd4pkbxjnruyovkn4	109	22	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	109	23	@	@	SYM
work_les4de22qzd4pkbxjnruyovkn4	109	24	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	109	25	Aw2qðxÞ	Aw2qðxÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	26	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	109	27	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	109	28	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	109	29	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	109	30	þ	þ	CD
work_les4de22qzd4pkbxjnruyovkn4	109	31	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	32	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	33	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	109	34	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	109	35	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	109	36	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	109	37	XT	XT	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	38	j¼1	j¼1	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	39	w2	w2	NN
work_les4de22qzd4pkbxjnruyovkn4	109	40	Here	here	RB
work_les4de22qzd4pkbxjnruyovkn4	109	41	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	109	42	Ij	Ij	NNP
work_les4de22qzd4pkbxjnruyovkn4	109	43	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	109	44	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	109	45	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	109	46	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	109	47	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	109	48	training	train	VBG
work_les4de22qzd4pkbxjnruyovkn4	109	49	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	109	50	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	109	51	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	109	52	j.	j.	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	110	2	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	110	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	110	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	110	5	derivatives	derivative	NNS
work_les4de22qzd4pkbxjnruyovkn4	110	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	110	7	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	110	8	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	110	9	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	110	10	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	110	11	defined	define	VBN
work_les4de22qzd4pkbxjnruyovkn4	110	12	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	110	13	follows	follow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	110	14	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	110	15	Gj	Gj	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	16	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	17	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	18	i2Ij	i2Ij	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	19	gi	gi	UH
work_les4de22qzd4pkbxjnruyovkn4	110	20	Hj	Hj	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	21	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	22	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	23	i2Ij	i2Ij	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	24	hi	hi	UH
work_les4de22qzd4pkbxjnruyovkn4	110	25	Also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	110	26	note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	110	27	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	110	28	wq(x	wq(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	29	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	110	30	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	110	31	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	110	32	constant	constant	NN
work_les4de22qzd4pkbxjnruyovkn4	110	33	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	110	34	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	110	35	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	110	36	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	110	37	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	110	38	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	110	39	represented	represent	VBN
work_les4de22qzd4pkbxjnruyovkn4	110	40	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	110	41	wj	wj	NNP
work_les4de22qzd4pkbxjnruyovkn4	110	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	111	1	Simplifying	simplify	VBG
work_les4de22qzd4pkbxjnruyovkn4	111	2	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	111	3	get	get	VBP
work_les4de22qzd4pkbxjnruyovkn4	111	4	Objm	Objm	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	5	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	111	6	XT	xt	NN
work_les4de22qzd4pkbxjnruyovkn4	111	7	j¼1	j¼1	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	8	Gjwj	Gjwj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	9	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	111	10	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	111	11	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	111	12	ðHj	ðHj	NNS
work_les4de22qzd4pkbxjnruyovkn4	111	13	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	111	14	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	15	Þw2j	þw2j	NN
work_les4de22qzd4pkbxjnruyovkn4	111	16	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	17	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	18	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	111	19	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	20	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	21	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	111	22	2	2	LS
work_les4de22qzd4pkbxjnruyovkn4	111	23	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	111	24	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	111	25	weight	weight	NN
work_les4de22qzd4pkbxjnruyovkn4	111	26	wj	wj	VBD
work_les4de22qzd4pkbxjnruyovkn4	111	27	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	111	28	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	111	29	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	111	30	minimises	minimise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	111	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	111	32	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	111	33	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	111	34	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	111	35	@Objm	@objm	JJ
work_les4de22qzd4pkbxjnruyovkn4	111	36	@wj	@wj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	37	¼	¼	FW
work_les4de22qzd4pkbxjnruyovkn4	111	38	Gj	Gj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	39	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	40	ðHj	ðHj	VBZ
work_les4de22qzd4pkbxjnruyovkn4	111	41	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	111	42	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	111	43	Þwj	Þwj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	44	¼	¼	FW
work_les4de22qzd4pkbxjnruyovkn4	111	45	0	0	NFP
work_les4de22qzd4pkbxjnruyovkn4	111	46	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	111	47	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	111	48	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	111	49	weight	weight	NN
work_les4de22qzd4pkbxjnruyovkn4	111	50	wj	wj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	51	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	111	52	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	111	53	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	111	54	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	111	55	structure	structure	NN
work_les4de22qzd4pkbxjnruyovkn4	111	56	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	111	57	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	111	58	wj	wj	UH
work_les4de22qzd4pkbxjnruyovkn4	111	59	¼	¼	RB
work_les4de22qzd4pkbxjnruyovkn4	111	60	�	�	.
work_les4de22qzd4pkbxjnruyovkn4	111	61	Gj	Gj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	62	Hj	Hj	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	63	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	111	64	�	�	:
work_les4de22qzd4pkbxjnruyovkn4	111	65	Using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	111	66	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	111	67	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	111	68	wj	wj	NN
work_les4de22qzd4pkbxjnruyovkn4	111	69	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	111	70	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	111	71	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	112	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	112	2	2	2	LS
work_les4de22qzd4pkbxjnruyovkn4	112	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	112	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	112	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	112	6	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	112	7	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	112	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	112	9	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	112	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	112	11	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	112	12	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	112	13	structure	structure	NN
work_les4de22qzd4pkbxjnruyovkn4	112	14	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	112	15	becomes	become	VBZ
work_les4de22qzd4pkbxjnruyovkn4	112	16	Objm	Objm	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	17	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	112	18	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	19	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	112	20	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	112	21	XT	xt	NN
work_les4de22qzd4pkbxjnruyovkn4	112	22	j¼1	j¼1	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	23	G2j	G2j	.
work_les4de22qzd4pkbxjnruyovkn4	112	24	Hj	Hj	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	25	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	112	26	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	27	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	112	28	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	29	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	112	30	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	112	31	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	112	32	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	112	33	Eq	eq	NN
work_les4de22qzd4pkbxjnruyovkn4	112	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	113	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	113	2	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	113	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	113	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	113	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	113	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	113	7	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	113	8	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	113	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	113	10	measure	measure	NN
work_les4de22qzd4pkbxjnruyovkn4	113	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	113	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	113	13	quality	quality	NN
work_les4de22qzd4pkbxjnruyovkn4	113	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	113	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	113	16	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	113	17	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	113	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	114	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	114	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	114	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	114	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	114	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	114	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	114	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	114	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	114	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	114	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	115	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	115	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	115	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	115	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	115	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	115	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	115	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	115	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	115	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	115	10	7/37	7/37	CD
work_les4de22qzd4pkbxjnruyovkn4	115	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	115	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	115	13	Growing	grow	VBG
work_les4de22qzd4pkbxjnruyovkn4	115	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	115	15	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	115	16	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	115	17	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	115	18	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	115	19	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	115	20	intractable	intractable	JJ
work_les4de22qzd4pkbxjnruyovkn4	115	21	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	115	22	enumerate	enumerate	VB
work_les4de22qzd4pkbxjnruyovkn4	115	23	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	115	24	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	115	25	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	115	26	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	115	27	structures	structure	NNS
work_les4de22qzd4pkbxjnruyovkn4	115	28	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	115	29	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	115	30	greedily	greedily	RB
work_les4de22qzd4pkbxjnruyovkn4	115	31	expand	expand	VBP
work_les4de22qzd4pkbxjnruyovkn4	115	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	115	33	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	115	34	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	115	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	115	36	root	root	NN
work_les4de22qzd4pkbxjnruyovkn4	115	37	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	115	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	116	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	116	2	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	116	3	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	116	4	evaluate	evaluate	VB
work_les4de22qzd4pkbxjnruyovkn4	116	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	116	6	usefulness	usefulness	NN
work_les4de22qzd4pkbxjnruyovkn4	116	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	116	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	116	9	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	116	10	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	116	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	116	12	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	116	13	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	116	14	look	look	VB
work_les4de22qzd4pkbxjnruyovkn4	116	15	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	116	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	116	17	contribution	contribution	NN
work_les4de22qzd4pkbxjnruyovkn4	116	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	116	19	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	116	20	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	116	21	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	116	22	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	116	23	j	j	NNP
work_les4de22qzd4pkbxjnruyovkn4	116	24	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	116	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	116	26	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	116	27	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	116	28	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	116	29	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	116	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	117	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	117	2	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	117	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	117	4	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	117	5	Objleaf	Objleaf	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	6	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	7	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	117	9	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	117	10	G2j	G2j	.
work_les4de22qzd4pkbxjnruyovkn4	117	11	Hj	Hj	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	12	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	117	13	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	14	þ	þ	LS
work_les4de22qzd4pkbxjnruyovkn4	117	15	�	�	.
work_les4de22qzd4pkbxjnruyovkn4	117	16	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	117	17	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	117	18	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	117	19	consider	consider	VB
work_les4de22qzd4pkbxjnruyovkn4	117	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	117	21	contribution	contribution	NN
work_les4de22qzd4pkbxjnruyovkn4	117	22	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	117	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	117	24	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	117	25	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	117	26	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	117	27	splitting	split	VBG
work_les4de22qzd4pkbxjnruyovkn4	117	28	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	117	29	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	117	30	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	117	31	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	117	32	leaves	leave	NNS
work_les4de22qzd4pkbxjnruyovkn4	117	33	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	117	34	Objsplit	Objsplit	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	35	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	36	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	37	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	117	38	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	117	39	G2jL	G2jL	:
work_les4de22qzd4pkbxjnruyovkn4	117	40	HjL	HjL	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	41	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	42	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	43	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	117	44	G2jR	G2jR	:
work_les4de22qzd4pkbxjnruyovkn4	117	45	HjR	HjR	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	46	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	47	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	117	48	!	!	.
work_les4de22qzd4pkbxjnruyovkn4	118	1	þ	þ	LS
work_les4de22qzd4pkbxjnruyovkn4	118	2	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	118	3	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	118	4	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	118	5	improvement	improvement	NN
work_les4de22qzd4pkbxjnruyovkn4	118	6	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	118	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	118	8	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	118	9	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	118	10	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	118	11	creating	create	VBG
work_les4de22qzd4pkbxjnruyovkn4	118	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	118	13	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	118	14	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	118	15	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	118	16	defined	define	VBN
work_les4de22qzd4pkbxjnruyovkn4	118	17	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	118	18	Gain	Gain	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	19	¼	¼	NN
work_les4de22qzd4pkbxjnruyovkn4	118	20	Objleaf	Objleaf	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	21	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	22	Objsplit	Objsplit	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	23	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	118	24	yields	yield	VBZ
work_les4de22qzd4pkbxjnruyovkn4	118	25	Gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	118	26	¼	¼	JJ
work_les4de22qzd4pkbxjnruyovkn4	118	27	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	118	28	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	118	29	G2L	G2L	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	30	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	31	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	32	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	33	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	118	34	G	g	NN
work_les4de22qzd4pkbxjnruyovkn4	118	35	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	118	36	R	r	NN
work_les4de22qzd4pkbxjnruyovkn4	118	37	HR	hr	NN
work_les4de22qzd4pkbxjnruyovkn4	118	38	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	118	39	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	40	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	41	ðGL	ðgl	CD
work_les4de22qzd4pkbxjnruyovkn4	118	42	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	118	43	GRÞ	GRÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	44	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	118	45	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	46	þ	þ	DT
work_les4de22qzd4pkbxjnruyovkn4	118	47	HR	hr	NN
work_les4de22qzd4pkbxjnruyovkn4	118	48	þ	þ	NN
work_les4de22qzd4pkbxjnruyovkn4	118	49	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	50	"	"	''
work_les4de22qzd4pkbxjnruyovkn4	118	51	#	#	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	52	�	�	NNPS
work_les4de22qzd4pkbxjnruyovkn4	118	53	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	118	54	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	118	55	4	4	LS
work_les4de22qzd4pkbxjnruyovkn4	118	56	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	118	57	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	118	58	quality	quality	NN
work_les4de22qzd4pkbxjnruyovkn4	118	59	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	118	60	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	118	61	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	118	62	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	118	63	separating	separate	VBG
work_les4de22qzd4pkbxjnruyovkn4	118	64	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	118	65	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	118	66	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	118	67	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	118	68	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	118	69	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	118	70	evaluated	evaluate	VBN
work_les4de22qzd4pkbxjnruyovkn4	118	71	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	118	72	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	118	73	gain	gain	JJ
work_les4de22qzd4pkbxjnruyovkn4	118	74	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	118	75	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	118	76	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	118	77	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	119	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	119	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	119	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	119	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	120	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	120	2	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	120	3	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	120	4	represents	represent	VBZ
work_les4de22qzd4pkbxjnruyovkn4	120	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	120	6	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	120	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	120	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	120	9	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	120	10	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	120	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	120	12	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	120	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	121	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	121	2	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	121	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	121	4	obtained	obtain	VBN
work_les4de22qzd4pkbxjnruyovkn4	121	5	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	121	6	taking	take	VBG
work_les4de22qzd4pkbxjnruyovkn4	121	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	121	8	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	121	9	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	121	10	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	121	11	j	j	NNP
work_les4de22qzd4pkbxjnruyovkn4	121	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	121	13	partitioning	partition	VBG
work_les4de22qzd4pkbxjnruyovkn4	121	14	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	121	15	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	121	16	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	121	17	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	121	18	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	121	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	122	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	122	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	122	3	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	122	4	thought	think	VBN
work_les4de22qzd4pkbxjnruyovkn4	122	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	122	6	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	122	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	122	8	increase	increase	NN
work_les4de22qzd4pkbxjnruyovkn4	122	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	122	10	quality	quality	NN
work_les4de22qzd4pkbxjnruyovkn4	122	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	122	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	122	13	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	122	14	obtained	obtain	VBN
work_les4de22qzd4pkbxjnruyovkn4	122	15	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	122	16	creating	create	VBG
work_les4de22qzd4pkbxjnruyovkn4	122	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	122	18	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	122	19	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	122	20	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	122	21	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	122	22	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	122	23	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	122	24	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	122	25	simply	simply	RB
work_les4de22qzd4pkbxjnruyovkn4	122	26	retaining	retain	VBG
work_les4de22qzd4pkbxjnruyovkn4	122	27	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	122	28	original	original	JJ
work_les4de22qzd4pkbxjnruyovkn4	122	29	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	122	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	123	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	123	2	formula	formula	NN
work_les4de22qzd4pkbxjnruyovkn4	123	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	123	4	applied	apply	VBN
work_les4de22qzd4pkbxjnruyovkn4	123	5	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	123	6	every	every	DT
work_les4de22qzd4pkbxjnruyovkn4	123	7	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	123	8	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	123	9	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	123	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	123	11	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	123	12	expand	expand	VBP
work_les4de22qzd4pkbxjnruyovkn4	123	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	123	14	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	123	15	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	123	16	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	123	17	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	123	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	124	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	124	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	124	3	continue	continue	VB
work_les4de22qzd4pkbxjnruyovkn4	124	4	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	124	5	grow	grow	VB
work_les4de22qzd4pkbxjnruyovkn4	124	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	124	7	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	124	8	while	while	IN
work_les4de22qzd4pkbxjnruyovkn4	124	9	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	124	10	gain	gain	JJ
work_les4de22qzd4pkbxjnruyovkn4	124	11	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	124	12	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	124	13	positive	positive	JJ
work_les4de22qzd4pkbxjnruyovkn4	124	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	125	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	125	2	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	125	3	regularisation	regularisation	NN
work_les4de22qzd4pkbxjnruyovkn4	125	4	cost	cost	NN
work_les4de22qzd4pkbxjnruyovkn4	125	5	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	125	6	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	125	7	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	125	8	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	125	9	prevent	prevent	VB
work_les4de22qzd4pkbxjnruyovkn4	125	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	125	11	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	125	12	arbitrarily	arbitrarily	RB
work_les4de22qzd4pkbxjnruyovkn4	125	13	expanding	expand	VBG
work_les4de22qzd4pkbxjnruyovkn4	125	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	126	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	126	2	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	126	3	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	126	4	selection	selection	NN
work_les4de22qzd4pkbxjnruyovkn4	126	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	126	6	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	126	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	126	8	O(nm	o(nm	RB
work_les4de22qzd4pkbxjnruyovkn4	126	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	126	10	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	126	11	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	126	12	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	126	13	n	n	JJ
work_les4de22qzd4pkbxjnruyovkn4	126	14	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	126	15	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	126	16	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	126	17	m	m	NN
work_les4de22qzd4pkbxjnruyovkn4	126	18	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	126	19	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	126	20	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	126	21	scanning	scan	VBG
work_les4de22qzd4pkbxjnruyovkn4	126	22	left	leave	VBD
work_les4de22qzd4pkbxjnruyovkn4	126	23	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	126	24	right	right	RB
work_les4de22qzd4pkbxjnruyovkn4	126	25	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	126	26	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	126	27	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	126	28	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	126	29	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	126	30	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	126	31	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	126	32	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	126	33	sorted	sorted	JJ
work_les4de22qzd4pkbxjnruyovkn4	126	34	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	126	35	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	127	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	127	2	running	run	VBG
work_les4de22qzd4pkbxjnruyovkn4	127	3	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	127	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	127	5	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	127	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	127	7	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	127	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	127	9	kept	keep	VBN
work_les4de22qzd4pkbxjnruyovkn4	127	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	127	11	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	127	12	move	move	VBP
work_les4de22qzd4pkbxjnruyovkn4	127	13	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	127	14	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	127	15	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	127	16	right	right	NN
work_les4de22qzd4pkbxjnruyovkn4	127	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	127	18	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	127	19	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	127	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	127	21	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	127	22	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	127	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	128	1	GR	GR	NNP
work_les4de22qzd4pkbxjnruyovkn4	128	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	128	3	HR	hr	NN
work_les4de22qzd4pkbxjnruyovkn4	128	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	128	5	inferred	infer	VBN
work_les4de22qzd4pkbxjnruyovkn4	128	6	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	128	7	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	128	8	running	running	NN
work_les4de22qzd4pkbxjnruyovkn4	128	9	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	128	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	128	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	128	12	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	128	13	total	total	NN
work_les4de22qzd4pkbxjnruyovkn4	128	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	129	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	129	2	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	129	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	129	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	129	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	129	6	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	129	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	129	8	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	129	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	129	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	129	11	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	129	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	130	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	130	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	130	3	assume	assume	VB
work_les4de22qzd4pkbxjnruyovkn4	130	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	130	5	know	know	VBP
work_les4de22qzd4pkbxjnruyovkn4	130	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	130	7	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	130	8	G	g	NN
work_les4de22qzd4pkbxjnruyovkn4	130	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	130	10	H	h	NN
work_les4de22qzd4pkbxjnruyovkn4	130	11	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	130	12	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	130	13	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	130	14	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	130	15	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	130	16	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	130	17	simply	simply	RB
work_les4de22qzd4pkbxjnruyovkn4	130	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	130	19	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	130	20	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	130	21	GR	GR	NNP
work_les4de22qzd4pkbxjnruyovkn4	130	22	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	130	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	130	24	parent	parent	NN
work_les4de22qzd4pkbxjnruyovkn4	130	25	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	130	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	131	1	Therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	131	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	131	3	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	131	4	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	131	5	everything	everything	NN
work_les4de22qzd4pkbxjnruyovkn4	131	6	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	131	7	need	need	VBP
work_les4de22qzd4pkbxjnruyovkn4	131	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	131	9	evaluate	evaluate	VB
work_les4de22qzd4pkbxjnruyovkn4	131	10	Gain	Gain	NNP
work_les4de22qzd4pkbxjnruyovkn4	131	11	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	131	12	every	every	DT
work_les4de22qzd4pkbxjnruyovkn4	131	13	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	131	14	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	131	15	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	131	16	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	131	17	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	131	18	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	131	19	select	select	VB
work_les4de22qzd4pkbxjnruyovkn4	131	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	131	21	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	131	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	132	1	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	132	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	132	3	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	132	4	format	format	NN
work_les4de22qzd4pkbxjnruyovkn4	132	5	Tabular	Tabular	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	6	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	132	7	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	132	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	132	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	132	10	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	132	11	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	132	12	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	132	13	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	132	14	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	132	15	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	16	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	132	17	Weka	Weka	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	18	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	132	19	Hall	Hall	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	20	et	et	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	21	al	al	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	22	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	132	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	132	24	2009	2009	CD
work_les4de22qzd4pkbxjnruyovkn4	132	25	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	132	26	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	132	27	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	132	28	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	132	29	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	132	30	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	132	31	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	132	32	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	132	33	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	132	34	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	132	35	row	row	NN
work_les4de22qzd4pkbxjnruyovkn4	132	36	representing	represent	VBG
work_les4de22qzd4pkbxjnruyovkn4	132	37	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	132	38	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	132	39	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	132	40	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	132	41	column	column	NN
work_les4de22qzd4pkbxjnruyovkn4	132	42	representing	represent	VBG
work_les4de22qzd4pkbxjnruyovkn4	132	43	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	132	44	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	132	45	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	132	46	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	132	47	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	132	48	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	132	49	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	132	50	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	133	1	If	if	IN
work_les4de22qzd4pkbxjnruyovkn4	133	2	f2	f2	NN
work_les4de22qzd4pkbxjnruyovkn4	133	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	133	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	133	5	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	133	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	133	7	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	133	8	predicted	predict	VBN
work_les4de22qzd4pkbxjnruyovkn4	133	9	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	133	10	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	133	11	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	133	12	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	133	13	pair	pair	NN
work_les4de22qzd4pkbxjnruyovkn4	133	14	ð	ð	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	15	~	~	NFP
work_les4de22qzd4pkbxjnruyovkn4	133	16	xi	xi	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	17	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	133	18	yiÞ	yiÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	19	takes	take	VBZ
work_les4de22qzd4pkbxjnruyovkn4	133	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	133	21	form	form	NN
work_les4de22qzd4pkbxjnruyovkn4	133	22	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	133	23	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	133	24	f0i	f0i	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	25	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	133	26	f1i	f1i	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	27	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	133	28	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	133	29	f2i	f2i	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	30	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	133	31	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	133	32	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	133	33	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	133	34	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	35	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	133	36	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	37	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	133	38	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	133	39	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	133	40	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	133	41	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	42	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	133	43	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	134	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	134	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	134	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	134	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	134	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	134	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	134	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	134	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	134	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	134	10	8/37	8/37	CD
work_les4de22qzd4pkbxjnruyovkn4	134	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	134	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_les4de22qzd4pkbxjnruyovkn4	134	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	134	14	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	134	15	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	134	16	d	d	XX
work_les4de22qzd4pkbxjnruyovkn4	134	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	135	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	135	2	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	135	3	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	135	4	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	135	5	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	135	6	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	135	7	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	135	8	contain	contain	VB
work_les4de22qzd4pkbxjnruyovkn4	135	9	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	135	10	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	135	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	136	1	One	one	CD
work_les4de22qzd4pkbxjnruyovkn4	136	2	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	136	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	136	4	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	136	5	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	136	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	136	7	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	136	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	136	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	136	10	ability	ability	NN
work_les4de22qzd4pkbxjnruyovkn4	136	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	136	12	store	store	VB
work_les4de22qzd4pkbxjnruyovkn4	136	13	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	136	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	136	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	136	16	sparse	sparse	JJ
work_les4de22qzd4pkbxjnruyovkn4	136	17	format	format	NN
work_les4de22qzd4pkbxjnruyovkn4	136	18	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	136	19	implicitly	implicitly	RB
work_les4de22qzd4pkbxjnruyovkn4	136	20	keeping	keep	VBG
work_les4de22qzd4pkbxjnruyovkn4	136	21	track	track	NN
work_les4de22qzd4pkbxjnruyovkn4	136	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	136	23	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	136	24	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	136	25	instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	136	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	136	27	physically	physically	RB
work_les4de22qzd4pkbxjnruyovkn4	136	28	storing	store	VBG
work_les4de22qzd4pkbxjnruyovkn4	136	29	them	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	136	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	137	1	While	while	IN
work_les4de22qzd4pkbxjnruyovkn4	137	2	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	137	3	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	137	4	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	137	5	directly	directly	RB
work_les4de22qzd4pkbxjnruyovkn4	137	6	support	support	VB
work_les4de22qzd4pkbxjnruyovkn4	137	7	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	137	8	variables	variable	NNS
work_les4de22qzd4pkbxjnruyovkn4	137	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	137	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	137	11	ability	ability	NN
work_les4de22qzd4pkbxjnruyovkn4	137	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	137	13	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	137	14	store	store	VB
work_les4de22qzd4pkbxjnruyovkn4	137	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	137	16	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	137	17	sparse	sparse	VBP
work_les4de22qzd4pkbxjnruyovkn4	137	18	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	137	19	matrices	matrix	NNS
work_les4de22qzd4pkbxjnruyovkn4	137	20	allows	allow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	137	21	us	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	137	22	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	137	23	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	137	24	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	137	25	variables	variable	NNS
work_les4de22qzd4pkbxjnruyovkn4	137	26	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	137	27	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	137	28	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	137	29	hot	hot	JJ
work_les4de22qzd4pkbxjnruyovkn4	137	30	encoding	encoding	NN
work_les4de22qzd4pkbxjnruyovkn4	137	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	138	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	138	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	138	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	138	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	138	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	138	6	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	138	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	138	8	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	138	9	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	138	10	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	138	11	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	138	12	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	138	13	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	138	14	instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	138	15	encoded	encode	VBN
work_les4de22qzd4pkbxjnruyovkn4	138	16	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	138	17	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	138	18	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	138	19	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	138	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	139	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	139	2	zeros	zero	NNS
work_les4de22qzd4pkbxjnruyovkn4	139	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	139	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	139	5	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	139	6	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	139	7	hot	hot	JJ
work_les4de22qzd4pkbxjnruyovkn4	139	8	encoded	encoded	JJ
work_les4de22qzd4pkbxjnruyovkn4	139	9	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	139	10	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	139	11	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	139	12	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	139	13	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	139	14	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	139	15	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	139	16	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	139	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	140	1	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	140	2	users	user	NNS
work_les4de22qzd4pkbxjnruyovkn4	140	3	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	140	4	specify	specify	VB
work_les4de22qzd4pkbxjnruyovkn4	140	5	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	140	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	140	7	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	140	8	considered	consider	VBN
work_les4de22qzd4pkbxjnruyovkn4	140	9	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	140	10	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	140	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	140	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	140	13	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	140	14	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	140	15	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	140	16	directly	directly	RB
work_les4de22qzd4pkbxjnruyovkn4	140	17	input	input	VB
work_les4de22qzd4pkbxjnruyovkn4	140	18	sparse	sparse	NN
work_les4de22qzd4pkbxjnruyovkn4	140	19	formats	format	NNS
work_les4de22qzd4pkbxjnruyovkn4	140	20	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	140	21	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	140	22	libsvm	libsvm	JJ
work_les4de22qzd4pkbxjnruyovkn4	140	23	files	file	NNS
work_les4de22qzd4pkbxjnruyovkn4	140	24	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	140	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	140	26	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	140	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	141	1	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	141	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	141	3	handling	handle	VBG
work_les4de22qzd4pkbxjnruyovkn4	141	4	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	141	5	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	141	6	Representing	represent	VBG
work_les4de22qzd4pkbxjnruyovkn4	141	7	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	141	8	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	141	9	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	141	10	sparsity	sparsity	NN
work_les4de22qzd4pkbxjnruyovkn4	141	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	141	12	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	141	13	way	way	NN
work_les4de22qzd4pkbxjnruyovkn4	141	14	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	141	15	implications	implication	NNS
work_les4de22qzd4pkbxjnruyovkn4	141	16	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	141	17	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	141	18	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	141	19	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	141	20	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	141	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	142	1	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	142	2	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	142	3	default	default	NN
work_les4de22qzd4pkbxjnruyovkn4	142	4	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	142	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	142	6	handling	handle	VBG
work_les4de22qzd4pkbxjnruyovkn4	142	7	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	142	8	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	142	9	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	142	10	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	142	11	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	142	12	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	142	13	splits	split	VBZ
work_les4de22qzd4pkbxjnruyovkn4	142	14	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	142	15	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	142	16	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	142	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	142	18	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	142	19	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	142	20	missing	missing	JJ
work_les4de22qzd4pkbxjnruyovkn4	142	21	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	142	22	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	142	23	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	142	24	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	142	25	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	142	26	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	142	27	normal	normal	JJ
work_les4de22qzd4pkbxjnruyovkn4	142	28	threshold	threshold	NN
work_les4de22qzd4pkbxjnruyovkn4	142	29	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	142	30	rule	rule	NN
work_les4de22qzd4pkbxjnruyovkn4	142	31	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	142	32	numerical	numerical	JJ
work_les4de22qzd4pkbxjnruyovkn4	142	33	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	142	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	143	1	So	so	RB
work_les4de22qzd4pkbxjnruyovkn4	143	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	143	3	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	143	4	rule	rule	NN
work_les4de22qzd4pkbxjnruyovkn4	143	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	143	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	143	7	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	143	8	now	now	RB
work_les4de22qzd4pkbxjnruyovkn4	143	9	contains	contain	VBZ
work_les4de22qzd4pkbxjnruyovkn4	143	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	143	11	numeric	numeric	JJ
work_les4de22qzd4pkbxjnruyovkn4	143	12	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	143	13	rule	rule	NN
work_les4de22qzd4pkbxjnruyovkn4	143	14	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	143	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	143	16	f0	f0	NN
work_les4de22qzd4pkbxjnruyovkn4	143	17	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	143	18	5.53	5.53	CD
work_les4de22qzd4pkbxjnruyovkn4	143	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	143	20	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	143	21	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	143	22	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	143	23	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	143	24	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	143	25	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	143	26	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	143	27	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	143	28	=	=	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	143	29	right	right	UH
work_les4de22qzd4pkbxjnruyovkn4	143	30	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	143	31	sends	send	VBZ
work_les4de22qzd4pkbxjnruyovkn4	143	32	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	143	33	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	143	34	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	143	35	down	down	IN
work_les4de22qzd4pkbxjnruyovkn4	143	36	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	143	37	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	143	38	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	143	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	144	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	144	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	144	3	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	144	4	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	144	5	hot	hot	JJ
work_les4de22qzd4pkbxjnruyovkn4	144	6	encoded	encode	VBN
work_les4de22qzd4pkbxjnruyovkn4	144	7	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	144	8	variable	variable	NN
work_les4de22qzd4pkbxjnruyovkn4	144	9	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	144	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	144	11	zeros	zero	NNS
work_les4de22qzd4pkbxjnruyovkn4	144	12	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	144	13	encoded	encode	VBN
work_les4de22qzd4pkbxjnruyovkn4	144	14	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	144	15	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	144	16	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	144	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	144	18	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	144	19	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	144	20	equivalent	equivalent	JJ
work_les4de22qzd4pkbxjnruyovkn4	144	21	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	144	22	testing	test	VBG
work_les4de22qzd4pkbxjnruyovkn4	144	23	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	144	24	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	144	25	vs	vs	IN
work_les4de22qzd4pkbxjnruyovkn4	144	26	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	144	27	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	144	28	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	144	29	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	144	30	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	144	31	category	category	NN
work_les4de22qzd4pkbxjnruyovkn4	144	32	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	144	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	144	34	categorical	categorical	JJ
work_les4de22qzd4pkbxjnruyovkn4	144	35	variable	variable	NN
work_les4de22qzd4pkbxjnruyovkn4	144	36	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	145	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	145	2	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	145	3	Enumerating	Enumerating	NNP
work_les4de22qzd4pkbxjnruyovkn4	145	4	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	145	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	146	1	Feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	146	2	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	146	3	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	146	4	0.4	0.4	CD
work_les4de22qzd4pkbxjnruyovkn4	146	5	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	146	6	0.6	0.6	CD
work_les4de22qzd4pkbxjnruyovkn4	146	7	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	146	8	1.1	1.1	CD
work_les4de22qzd4pkbxjnruyovkn4	146	9	gi	gi	SYM
work_les4de22qzd4pkbxjnruyovkn4	146	10	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	146	11	0.8	0.8	CD
work_les4de22qzd4pkbxjnruyovkn4	146	12	0.2	0.2	CD
work_les4de22qzd4pkbxjnruyovkn4	146	13	-1.1	-1.1	CD
work_les4de22qzd4pkbxjnruyovkn4	146	14	-0.2	-0.2	NN
work_les4de22qzd4pkbxjnruyovkn4	146	15	-0.5	-0.5	,
work_les4de22qzd4pkbxjnruyovkn4	146	16	hi	hi	CC
work_les4de22qzd4pkbxjnruyovkn4	146	17	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	18	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	19	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	20	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	21	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	22	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	23	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	146	24	0.0	0.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	25	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	146	26	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	146	27	1.1	1.1	CD
work_les4de22qzd4pkbxjnruyovkn4	146	28	0.0	0.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	29	-0.2	-0.2	NN
work_les4de22qzd4pkbxjnruyovkn4	146	30	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	146	31	0.0	0.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	32	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	33	2.0	2.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	34	3.0	3.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	35	4.0	4.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	36	5.0	5.0	CD
work_les4de22qzd4pkbxjnruyovkn4	146	37	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	146	38	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	146	39	Example	Example	NNP
work_les4de22qzd4pkbxjnruyovkn4	146	40	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	146	41	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	146	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	147	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	147	2	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	147	3	d	d	VBP
work_les4de22qzd4pkbxjnruyovkn4	147	4	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	147	5	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	147	6	f2	f2	NNP
work_les4de22qzd4pkbxjnruyovkn4	147	7	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	147	8	0.32	0.32	CD
work_les4de22qzd4pkbxjnruyovkn4	147	9	399	399	CD
work_les4de22qzd4pkbxjnruyovkn4	147	10	10.1	10.1	CD
work_les4de22qzd4pkbxjnruyovkn4	147	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	147	12	0.27	0.27	CD
work_les4de22qzd4pkbxjnruyovkn4	147	13	521	521	CD
work_les4de22qzd4pkbxjnruyovkn4	147	14	11.3	11.3	CD
work_les4de22qzd4pkbxjnruyovkn4	147	15	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	147	16	0.56	0.56	CD
work_les4de22qzd4pkbxjnruyovkn4	147	17	896	896	CD
work_les4de22qzd4pkbxjnruyovkn4	147	18	13.0	13.0	CD
work_les4de22qzd4pkbxjnruyovkn4	147	19	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	147	20	0.11	0.11	CD
work_les4de22qzd4pkbxjnruyovkn4	147	21	322	322	CD
work_les4de22qzd4pkbxjnruyovkn4	147	22	9.7	9.7	CD
work_les4de22qzd4pkbxjnruyovkn4	147	23	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	147	24	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	147	25	Sparse	Sparse	NNP
work_les4de22qzd4pkbxjnruyovkn4	147	26	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	147	27	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	147	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	148	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	148	2	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	148	3	d	d	VBP
work_les4de22qzd4pkbxjnruyovkn4	148	4	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	5	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	6	f2	f2	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	7	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	148	9	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	10	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	148	12	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	148	13	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	14	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	15	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	148	16	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	17	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	18	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	148	19	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	148	20	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	21	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	148	22	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	148	23	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	24	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	148	25	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	26	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	148	27	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	148	28	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	148	29	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	148	30	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	31	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	148	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	149	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	149	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	149	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	149	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	149	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	149	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	149	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	149	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	149	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	149	10	9/37	9/37	CD
work_les4de22qzd4pkbxjnruyovkn4	149	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	149	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_les4de22qzd4pkbxjnruyovkn4	149	13	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	149	14	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	149	15	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	149	16	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	149	17	selected	select	VBN
work_les4de22qzd4pkbxjnruyovkn4	149	18	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	149	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	149	20	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	149	21	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	149	22	maximises	maximise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	149	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	149	24	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	149	25	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	149	26	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	149	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	150	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	150	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	150	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	150	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	151	1	When	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	151	2	enumerating	enumerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	151	3	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	151	4	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	151	5	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	151	6	split	split	JJ
work_les4de22qzd4pkbxjnruyovkn4	151	7	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	151	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	151	9	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	151	10	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	151	11	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	151	12	test	test	VB
work_les4de22qzd4pkbxjnruyovkn4	151	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	151	14	effect	effect	NN
work_les4de22qzd4pkbxjnruyovkn4	151	15	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	151	16	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	151	17	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	151	18	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	151	19	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	151	20	sending	send	VBG
work_les4de22qzd4pkbxjnruyovkn4	151	21	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	151	22	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	151	23	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	151	24	down	down	IN
work_les4de22qzd4pkbxjnruyovkn4	151	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	151	26	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	151	27	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	151	28	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	151	29	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	151	30	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	151	31	select	select	VB
work_les4de22qzd4pkbxjnruyovkn4	151	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	151	33	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	151	34	option	option	NN
work_les4de22qzd4pkbxjnruyovkn4	151	35	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	152	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	152	2	makes	make	VBZ
work_les4de22qzd4pkbxjnruyovkn4	152	3	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	152	4	selection	selection	NN
work_les4de22qzd4pkbxjnruyovkn4	152	5	slightly	slightly	RB
work_les4de22qzd4pkbxjnruyovkn4	152	6	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	152	7	complex	complex	JJ
work_les4de22qzd4pkbxjnruyovkn4	152	8	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	152	9	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	152	10	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	152	11	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	152	12	know	know	VB
work_les4de22qzd4pkbxjnruyovkn4	152	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	152	14	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	152	15	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	152	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	152	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	152	18	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	152	19	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	152	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	152	21	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	152	22	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	152	23	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	152	24	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	152	25	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	152	26	working	work	VBG
work_les4de22qzd4pkbxjnruyovkn4	152	27	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	152	28	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	152	29	although	although	IN
work_les4de22qzd4pkbxjnruyovkn4	152	30	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	152	31	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	152	32	know	know	VB
work_les4de22qzd4pkbxjnruyovkn4	152	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	152	34	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	152	35	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	152	36	all	all	PDT
work_les4de22qzd4pkbxjnruyovkn4	152	37	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	152	38	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	152	39	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	152	40	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	152	41	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	152	42	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	152	43	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	152	44	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	153	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	153	2	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	153	3	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	153	4	handles	handle	VBZ
work_les4de22qzd4pkbxjnruyovkn4	153	5	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	153	6	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	153	7	performing	perform	VBG
work_les4de22qzd4pkbxjnruyovkn4	153	8	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	153	9	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	153	10	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	153	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	153	12	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	153	13	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	153	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	153	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	153	16	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	153	17	being	being	NN
work_les4de22qzd4pkbxjnruyovkn4	153	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	153	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	153	20	reverse	reverse	JJ
work_les4de22qzd4pkbxjnruyovkn4	153	21	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	153	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	154	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	154	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	3	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	154	4	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	154	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	154	6	right	right	NN
work_les4de22qzd4pkbxjnruyovkn4	154	7	scan	scan	VB
work_les4de22qzd4pkbxjnruyovkn4	154	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	9	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	154	10	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	154	11	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	154	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	13	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	154	14	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	154	15	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	154	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	17	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	154	18	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	154	19	maintained	maintain	VBN
work_les4de22qzd4pkbxjnruyovkn4	154	20	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	154	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	22	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	154	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	154	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	25	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	154	26	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	154	27	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	154	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	29	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	154	30	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	154	31	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	154	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	33	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	154	34	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	154	35	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	154	36	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	154	37	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	154	38	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	154	39	minus	minus	CC
work_les4de22qzd4pkbxjnruyovkn4	154	40	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	154	41	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	154	42	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	154	43	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	155	1	Hence	hence	RB
work_les4de22qzd4pkbxjnruyovkn4	155	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	155	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	155	4	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	155	5	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	155	6	implicitly	implicitly	RB
work_les4de22qzd4pkbxjnruyovkn4	155	7	includes	include	VBZ
work_les4de22qzd4pkbxjnruyovkn4	155	8	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	155	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	155	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	155	11	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	155	12	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	155	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	156	1	When	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	156	2	scanning	scan	VBG
work_les4de22qzd4pkbxjnruyovkn4	156	3	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	156	4	right	right	NN
work_les4de22qzd4pkbxjnruyovkn4	156	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	156	6	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	156	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	156	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	156	9	reverse	reverse	NN
work_les4de22qzd4pkbxjnruyovkn4	156	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	156	11	true	true	JJ
work_les4de22qzd4pkbxjnruyovkn4	156	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	156	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	156	14	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	156	15	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	156	16	includes	include	VBZ
work_les4de22qzd4pkbxjnruyovkn4	156	17	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	156	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	156	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	156	20	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	156	21	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	156	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	157	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	157	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	157	3	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	157	4	selects	select	VBZ
work_les4de22qzd4pkbxjnruyovkn4	157	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	157	6	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	157	7	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	157	8	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	157	9	either	either	CC
work_les4de22qzd4pkbxjnruyovkn4	157	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	157	11	forwards	forward	NNS
work_les4de22qzd4pkbxjnruyovkn4	157	12	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	157	13	backwards	backwards	RB
work_les4de22qzd4pkbxjnruyovkn4	157	14	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	157	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	158	1	Graphics	graphic	NNS
work_les4de22qzd4pkbxjnruyovkn4	158	2	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	158	3	units	unit	NNS
work_les4de22qzd4pkbxjnruyovkn4	158	4	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	158	5	purpose	purpose	NN
work_les4de22qzd4pkbxjnruyovkn4	158	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	158	7	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	158	8	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	158	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	158	10	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	158	11	describe	describe	VB
work_les4de22qzd4pkbxjnruyovkn4	158	12	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	158	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	158	14	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	158	15	implement	implement	VB
work_les4de22qzd4pkbxjnruyovkn4	158	16	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	158	17	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	158	18	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	158	19	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	158	20	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	158	21	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	158	22	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	158	23	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	158	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	159	1	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	159	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	159	3	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	159	4	thought	think	VBN
work_les4de22qzd4pkbxjnruyovkn4	159	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	159	6	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	159	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	159	8	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	159	9	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	159	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	159	11	having	have	VBG
work_les4de22qzd4pkbxjnruyovkn4	159	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	159	13	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	159	14	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	159	15	architecture	architecture	NN
work_les4de22qzd4pkbxjnruyovkn4	159	16	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	159	17	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	159	18	SIMD	SIMD	NNP
work_les4de22qzd4pkbxjnruyovkn4	159	19	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	159	20	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	159	21	instruction	instruction	NN
work_les4de22qzd4pkbxjnruyovkn4	159	22	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	159	23	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	159	24	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	159	25	processors	processor	NNS
work_les4de22qzd4pkbxjnruyovkn4	159	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	160	1	These	these	DT
work_les4de22qzd4pkbxjnruyovkn4	160	2	SIMD	simd	NN
work_les4de22qzd4pkbxjnruyovkn4	160	3	processors	processor	NNS
work_les4de22qzd4pkbxjnruyovkn4	160	4	operate	operate	VBP
work_les4de22qzd4pkbxjnruyovkn4	160	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	160	6	lockstep	lockstep	NN
work_les4de22qzd4pkbxjnruyovkn4	160	7	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	160	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	160	9	batches	batch	NNS
work_les4de22qzd4pkbxjnruyovkn4	160	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	160	11	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	160	12	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	160	13	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	160	14	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	160	15	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	160	16	Matloff	Matloff	NNP
work_les4de22qzd4pkbxjnruyovkn4	160	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	160	18	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	160	19	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	160	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	161	1	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	161	2	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	161	3	optimised	optimise	VBN
work_les4de22qzd4pkbxjnruyovkn4	161	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	161	5	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	161	6	throughput	throughput	NN
work_les4de22qzd4pkbxjnruyovkn4	161	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	161	8	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	161	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	161	10	hide	hide	VB
work_les4de22qzd4pkbxjnruyovkn4	161	11	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	161	12	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	161	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	161	14	use	use	NN
work_les4de22qzd4pkbxjnruyovkn4	161	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	161	16	massive	massive	JJ
work_les4de22qzd4pkbxjnruyovkn4	161	17	parallelism	parallelism	NN
work_les4de22qzd4pkbxjnruyovkn4	161	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	162	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	162	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	162	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	162	4	contrast	contrast	NN
work_les4de22qzd4pkbxjnruyovkn4	162	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	162	6	CPUs	cpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	162	7	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	162	8	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	162	9	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	162	10	caches	cache	NNS
work_les4de22qzd4pkbxjnruyovkn4	162	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	162	12	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	162	13	prediction	prediction	NN
work_les4de22qzd4pkbxjnruyovkn4	162	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	162	15	speculative	speculative	JJ
work_les4de22qzd4pkbxjnruyovkn4	162	16	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	162	17	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	162	18	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	162	19	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	162	20	optimise	optimise	VB
work_les4de22qzd4pkbxjnruyovkn4	162	21	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	162	22	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	162	23	regards	regard	NNS
work_les4de22qzd4pkbxjnruyovkn4	162	24	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	162	25	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	162	26	dependencies	dependency	NNS
work_les4de22qzd4pkbxjnruyovkn4	162	27	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	162	28	Baxter	Baxter	NNP
work_les4de22qzd4pkbxjnruyovkn4	162	29	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	162	30	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	162	31	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	162	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	163	1	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	163	2	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	163	3	been	be	VBN
work_les4de22qzd4pkbxjnruyovkn4	163	4	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	163	5	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	163	6	accelerate	accelerate	VB
work_les4de22qzd4pkbxjnruyovkn4	163	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	163	8	variety	variety	NN
work_les4de22qzd4pkbxjnruyovkn4	163	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	163	10	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	163	11	traditionally	traditionally	RB
work_les4de22qzd4pkbxjnruyovkn4	163	12	run	run	VBP
work_les4de22qzd4pkbxjnruyovkn4	163	13	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	163	14	CPUs	cpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	163	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	163	16	providing	provide	VBG
work_les4de22qzd4pkbxjnruyovkn4	163	17	significant	significant	JJ
work_les4de22qzd4pkbxjnruyovkn4	163	18	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	163	19	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	163	20	parallelisable	parallelisable	JJ
work_les4de22qzd4pkbxjnruyovkn4	163	21	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	163	22	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	163	23	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	163	24	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	163	25	arithmetic	arithmetic	JJ
work_les4de22qzd4pkbxjnruyovkn4	163	26	intensity	intensity	NN
work_les4de22qzd4pkbxjnruyovkn4	163	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	164	1	Of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	164	2	particular	particular	JJ
work_les4de22qzd4pkbxjnruyovkn4	164	3	relevance	relevance	NN
work_les4de22qzd4pkbxjnruyovkn4	164	4	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	164	5	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	164	6	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	164	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	164	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	164	9	use	use	NN
work_les4de22qzd4pkbxjnruyovkn4	164	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	164	11	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	164	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	164	13	train	train	VB
work_les4de22qzd4pkbxjnruyovkn4	164	14	extremely	extremely	RB
work_les4de22qzd4pkbxjnruyovkn4	164	15	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	164	16	neural	neural	JJ
work_les4de22qzd4pkbxjnruyovkn4	164	17	networks	network	NNS
work_les4de22qzd4pkbxjnruyovkn4	164	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	165	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	165	2	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	165	3	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	165	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	165	5	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	165	6	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	165	7	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	165	8	billion	billion	CD
work_les4de22qzd4pkbxjnruyovkn4	165	9	parameter	parameter	NN
work_les4de22qzd4pkbxjnruyovkn4	165	10	networks	network	NNS
work_les4de22qzd4pkbxjnruyovkn4	165	11	could	could	MD
work_les4de22qzd4pkbxjnruyovkn4	165	12	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	165	13	trained	train	VBN
work_les4de22qzd4pkbxjnruyovkn4	165	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	165	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	165	16	few	few	JJ
work_les4de22qzd4pkbxjnruyovkn4	165	17	days	day	NNS
work_les4de22qzd4pkbxjnruyovkn4	165	18	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	165	19	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	165	20	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	165	21	machines	machine	NNS
work_les4de22qzd4pkbxjnruyovkn4	165	22	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	165	23	Coates	Coates	NNP
work_les4de22qzd4pkbxjnruyovkn4	165	24	et	et	FW
work_les4de22qzd4pkbxjnruyovkn4	165	25	al	al	NNP
work_les4de22qzd4pkbxjnruyovkn4	165	26	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	165	27	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	165	28	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	165	29	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	165	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	166	1	Languages	language	NNS
work_les4de22qzd4pkbxjnruyovkn4	166	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	166	3	libraries	librarie	VBZ
work_les4de22qzd4pkbxjnruyovkn4	166	4	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	166	5	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	166	6	main	main	JJ
work_les4de22qzd4pkbxjnruyovkn4	166	7	languages	language	NNS
work_les4de22qzd4pkbxjnruyovkn4	166	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	166	9	general	general	JJ
work_les4de22qzd4pkbxjnruyovkn4	166	10	purpose	purpose	NN
work_les4de22qzd4pkbxjnruyovkn4	166	11	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	166	12	programming	programming	NN
work_les4de22qzd4pkbxjnruyovkn4	166	13	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	166	14	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	166	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	166	16	OpenCL	OpenCL	NNP
work_les4de22qzd4pkbxjnruyovkn4	166	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	167	1	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	167	2	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	167	3	chosen	choose	VBN
work_les4de22qzd4pkbxjnruyovkn4	167	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	167	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	167	6	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	167	7	discussed	discuss	VBN
work_les4de22qzd4pkbxjnruyovkn4	167	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	167	9	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	167	10	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	167	11	due	due	IN
work_les4de22qzd4pkbxjnruyovkn4	167	12	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	167	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	167	14	availability	availability	NN
work_les4de22qzd4pkbxjnruyovkn4	167	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	167	16	optimised	optimise	VBN
work_les4de22qzd4pkbxjnruyovkn4	167	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	167	18	production	production	NN
work_les4de22qzd4pkbxjnruyovkn4	167	19	ready	ready	JJ
work_les4de22qzd4pkbxjnruyovkn4	167	20	libraries	library	NNS
work_les4de22qzd4pkbxjnruyovkn4	167	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	168	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	168	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	168	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	168	4	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	168	5	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	168	6	would	would	MD
work_les4de22qzd4pkbxjnruyovkn4	168	7	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	168	8	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	168	9	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	168	10	without	without	IN
work_les4de22qzd4pkbxjnruyovkn4	168	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	168	12	strong	strong	JJ
work_les4de22qzd4pkbxjnruyovkn4	168	13	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	168	14	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	168	15	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	168	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	169	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	169	2	make	make	VBP
work_les4de22qzd4pkbxjnruyovkn4	169	3	extensive	extensive	JJ
work_les4de22qzd4pkbxjnruyovkn4	169	4	use	use	NN
work_les4de22qzd4pkbxjnruyovkn4	169	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	169	6	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	169	8	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	169	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	169	10	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	11	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	169	12	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	169	13	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	169	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	169	15	CUB	CUB	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	16	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	169	17	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	18	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	169	19	NVIDIA	NVIDIA	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	20	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	169	21	Labs	Labs	NNPS
work_les4de22qzd4pkbxjnruyovkn4	169	22	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	169	23	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	169	24	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	169	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	169	26	Thrust	Thrust	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	27	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	169	28	Hoberock	Hoberock	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	29	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	169	30	Bell	Bell	NNP
work_les4de22qzd4pkbxjnruyovkn4	169	31	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	169	32	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	169	33	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	169	34	libraries	library	NNS
work_les4de22qzd4pkbxjnruyovkn4	169	35	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	170	1	These	these	DT
work_les4de22qzd4pkbxjnruyovkn4	170	2	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	170	3	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	170	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	170	5	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	170	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	170	7	detail	detail	NN
work_les4de22qzd4pkbxjnruyovkn4	170	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	170	9	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	170	10	Parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	170	11	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	170	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	170	13	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	170	14	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	170	15	closest	close	JJS
work_les4de22qzd4pkbxjnruyovkn4	170	16	equivalent	equivalent	JJ
work_les4de22qzd4pkbxjnruyovkn4	170	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	170	18	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	170	19	libraries	library	NNS
work_les4de22qzd4pkbxjnruyovkn4	170	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	170	21	OpenCL	OpenCL	NNP
work_les4de22qzd4pkbxjnruyovkn4	170	22	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	170	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	170	24	boost	boost	NN
work_les4de22qzd4pkbxjnruyovkn4	170	25	compute	compute	NN
work_les4de22qzd4pkbxjnruyovkn4	170	26	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	170	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	171	1	Several	several	JJ
work_les4de22qzd4pkbxjnruyovkn4	171	2	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	171	3	were	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	171	4	encountered	encounter	VBN
work_les4de22qzd4pkbxjnruyovkn4	171	5	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	171	6	attempting	attempt	VBG
work_les4de22qzd4pkbxjnruyovkn4	171	7	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	171	8	use	use	VB
work_les4de22qzd4pkbxjnruyovkn4	171	9	Boost	Boost	NNP
work_les4de22qzd4pkbxjnruyovkn4	171	10	Compute	Compute	NNP
work_les4de22qzd4pkbxjnruyovkn4	171	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	171	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	171	13	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	171	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	171	15	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	171	16	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	171	17	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	171	18	lagged	lag	VBD
work_les4de22qzd4pkbxjnruyovkn4	171	19	considerably	considerably	RB
work_les4de22qzd4pkbxjnruyovkn4	171	20	behind	behind	IN
work_les4de22qzd4pkbxjnruyovkn4	171	21	those	those	DT
work_les4de22qzd4pkbxjnruyovkn4	171	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	171	23	CUB	CUB	NNP
work_les4de22qzd4pkbxjnruyovkn4	171	24	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	171	25	Thrust	Thrust	NNP
work_les4de22qzd4pkbxjnruyovkn4	171	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	172	1	At	at	IN
work_les4de22qzd4pkbxjnruyovkn4	172	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	172	3	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	172	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	172	5	writing	write	VBG
work_les4de22qzd4pkbxjnruyovkn4	172	6	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	172	7	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	172	8	OpenCL	OpenCL	NNP
work_les4de22qzd4pkbxjnruyovkn4	172	9	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	172	10	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	172	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	172	12	practical	practical	JJ
work_les4de22qzd4pkbxjnruyovkn4	172	13	option	option	NN
work_les4de22qzd4pkbxjnruyovkn4	172	14	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	172	15	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	172	16	type	type	NN
work_les4de22qzd4pkbxjnruyovkn4	172	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	172	18	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	172	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	173	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	173	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	173	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	173	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	173	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	173	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	173	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	173	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	173	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	173	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	174	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	174	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	174	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	174	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	174	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	10	10/37	10/37	CD
work_les4de22qzd4pkbxjnruyovkn4	174	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	174	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	13	Execution	Execution	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	14	model	model	NN
work_les4de22qzd4pkbxjnruyovkn4	174	15	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	174	16	code	code	NN
work_les4de22qzd4pkbxjnruyovkn4	174	17	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	174	18	written	write	VBN
work_les4de22qzd4pkbxjnruyovkn4	174	19	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	174	20	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	174	21	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	174	22	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	174	23	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	174	24	executed	execute	VBN
work_les4de22qzd4pkbxjnruyovkn4	174	25	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	174	26	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	174	27	thousands	thousand	NNS
work_les4de22qzd4pkbxjnruyovkn4	174	28	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	174	29	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	174	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	175	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	175	2	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	175	3	execute	execute	VBP
work_les4de22qzd4pkbxjnruyovkn4	175	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	175	5	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	175	6	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	175	7	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	175	8	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	175	9	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	175	10	behaviour	behaviour	NN
work_les4de22qzd4pkbxjnruyovkn4	175	11	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	175	12	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	175	13	distinguished	distinguish	VBN
work_les4de22qzd4pkbxjnruyovkn4	175	14	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	175	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	175	16	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	175	17	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	175	18	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	175	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	176	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	176	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	176	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	176	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	176	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	176	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	176	7	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	176	8	adding	add	VBG
work_les4de22qzd4pkbxjnruyovkn4	176	9	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	176	10	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	176	11	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	176	12	arrays	array	NNS
work_les4de22qzd4pkbxjnruyovkn4	176	13	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	176	14	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	176	15	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	176	16	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	176	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	177	1	Indexing	indexing	NN
work_les4de22qzd4pkbxjnruyovkn4	177	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	177	3	determined	determine	VBN
work_les4de22qzd4pkbxjnruyovkn4	177	4	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	177	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	177	6	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	177	7	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	177	8	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	177	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	177	10	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	177	11	unused	unused	JJ
work_les4de22qzd4pkbxjnruyovkn4	177	12	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	177	13	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	177	14	masked	mask	VBN
work_les4de22qzd4pkbxjnruyovkn4	177	15	off	off	RP
work_les4de22qzd4pkbxjnruyovkn4	177	16	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	177	17	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	177	18	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	177	19	statement	statement	NN
work_les4de22qzd4pkbxjnruyovkn4	177	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	178	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	178	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	178	3	Example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	178	4	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	5	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	178	6	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	7	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	8	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	178	9	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	10	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	11	void	void	JJ
work_les4de22qzd4pkbxjnruyovkn4	178	12	example(float	example(float	NN
work_les4de22qzd4pkbxjnruyovkn4	178	13	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	14	d_a	d_a	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	178	16	float	float	NN
work_les4de22qzd4pkbxjnruyovkn4	178	17	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	18	d_b	d_b	NN
work_les4de22qzd4pkbxjnruyovkn4	178	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	178	20	float	float	NN
work_les4de22qzd4pkbxjnruyovkn4	178	21	�	�	.
work_les4de22qzd4pkbxjnruyovkn4	178	22	d_output	d_output	NN
work_les4de22qzd4pkbxjnruyovkn4	178	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	178	24	int	int	NN
work_les4de22qzd4pkbxjnruyovkn4	178	25	n	n	CC
work_les4de22qzd4pkbxjnruyovkn4	178	26	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	27	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	178	28	//Calculate	//calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	178	29	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	178	30	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	178	31	index	index	NN
work_les4de22qzd4pkbxjnruyovkn4	178	32	//blockIdx.x	//blockIdx.x	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	33	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	178	34	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	178	35	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	178	36	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	178	37	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	178	38	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	178	39	//blockDim.x	//blockDim.x	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	40	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	178	41	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	178	42	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	178	43	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	178	44	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	178	45	//threadIdx.x	//threadIdx.x	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	46	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	178	47	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	178	48	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	178	49	index	index	NN
work_les4de22qzd4pkbxjnruyovkn4	178	50	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	178	51	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	178	52	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	178	53	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	178	54	int	int	DT
work_les4de22qzd4pkbxjnruyovkn4	178	55	global_tid	global_tid	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	56	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	178	57	blockIdx.x	blockIdx.x	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	58	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	59	blockDim.x	blockdim.x	NN
work_les4de22qzd4pkbxjnruyovkn4	178	60	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	178	61	threadIdx.x	threadidx.x	NN
work_les4de22qzd4pkbxjnruyovkn4	178	62	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	178	63	if(global_tid	if(global_tid	NNP
work_les4de22qzd4pkbxjnruyovkn4	178	64	<	<	XX
work_les4de22qzd4pkbxjnruyovkn4	178	65	n	n	XX
work_les4de22qzd4pkbxjnruyovkn4	178	66	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	67	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	178	68	d_output[global_tid	d_output[global_tid	NN
work_les4de22qzd4pkbxjnruyovkn4	178	69	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	70	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	178	71	d_a[global_tid	d_a[global_tid	NN
work_les4de22qzd4pkbxjnruyovkn4	178	72	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	73	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	178	74	d_b[global_tid	d_b[global_tid	NN
work_les4de22qzd4pkbxjnruyovkn4	178	75	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	76	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	178	77	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	78	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	178	79	Threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	178	80	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	178	81	grouped	group	VBN
work_les4de22qzd4pkbxjnruyovkn4	178	82	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	178	83	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	178	84	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	178	85	blocks	block	NNS
work_les4de22qzd4pkbxjnruyovkn4	178	86	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	178	87	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	178	88	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	178	89	contain	contain	VBP
work_les4de22qzd4pkbxjnruyovkn4	178	90	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	178	91	multiple	multiple	NN
work_les4de22qzd4pkbxjnruyovkn4	178	92	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	178	93	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	178	94	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	178	95	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	179	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	179	2	group	group	NN
work_les4de22qzd4pkbxjnruyovkn4	179	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	179	4	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	179	5	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	179	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	179	7	known	know	VBN
work_les4de22qzd4pkbxjnruyovkn4	179	8	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	179	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	179	10	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	179	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	180	1	Thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	180	2	blocks	block	NNS
work_les4de22qzd4pkbxjnruyovkn4	180	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	180	4	queued	queue	VBN
work_les4de22qzd4pkbxjnruyovkn4	180	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	180	6	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	180	7	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	180	8	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	180	9	streaming	stream	VBG
work_les4de22qzd4pkbxjnruyovkn4	180	10	multiprocessors	multiprocessor	NNS
work_les4de22qzd4pkbxjnruyovkn4	180	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	181	1	Streaming	streaming	NN
work_les4de22qzd4pkbxjnruyovkn4	181	2	multiprocessors	multiprocessor	NNS
work_les4de22qzd4pkbxjnruyovkn4	181	3	switch	switch	VBP
work_les4de22qzd4pkbxjnruyovkn4	181	4	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	181	5	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	181	6	warps	warps	NN
work_les4de22qzd4pkbxjnruyovkn4	181	7	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	181	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	181	9	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	181	10	during	during	IN
work_les4de22qzd4pkbxjnruyovkn4	181	11	program	program	NN
work_les4de22qzd4pkbxjnruyovkn4	181	12	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	181	13	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	181	14	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	181	15	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	181	16	hide	hide	VB
work_les4de22qzd4pkbxjnruyovkn4	181	17	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	181	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	182	1	Global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	182	2	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	182	3	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	182	4	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	182	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	182	6	hundreds	hundred	NNS
work_les4de22qzd4pkbxjnruyovkn4	182	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	182	8	cycles	cycle	NNS
work_les4de22qzd4pkbxjnruyovkn4	182	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	182	10	hence	hence	RB
work_les4de22qzd4pkbxjnruyovkn4	182	11	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	182	12	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	182	13	important	important	JJ
work_les4de22qzd4pkbxjnruyovkn4	182	14	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	182	15	launch	launch	VB
work_les4de22qzd4pkbxjnruyovkn4	182	16	sufficiently	sufficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	182	17	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	182	18	warps	warp	NNS
work_les4de22qzd4pkbxjnruyovkn4	182	19	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	182	20	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	182	21	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	182	22	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	182	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	182	24	facilitate	facilitate	VB
work_les4de22qzd4pkbxjnruyovkn4	182	25	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	182	26	hiding	hiding	NN
work_les4de22qzd4pkbxjnruyovkn4	182	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	183	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	183	2	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	183	3	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	183	4	provides	provide	VBZ
work_les4de22qzd4pkbxjnruyovkn4	183	5	no	no	DT
work_les4de22qzd4pkbxjnruyovkn4	183	6	guarantees	guarantee	NNS
work_les4de22qzd4pkbxjnruyovkn4	183	7	about	about	IN
work_les4de22qzd4pkbxjnruyovkn4	183	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	183	9	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	183	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	183	11	thread	thread	JJ
work_les4de22qzd4pkbxjnruyovkn4	183	12	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	183	13	unless	unless	IN
work_les4de22qzd4pkbxjnruyovkn4	183	14	explicit	explicit	JJ
work_les4de22qzd4pkbxjnruyovkn4	183	15	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	183	16	synchronisation	synchronisation	NN
work_les4de22qzd4pkbxjnruyovkn4	183	17	barriers	barrier	NNS
work_les4de22qzd4pkbxjnruyovkn4	183	18	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	183	19	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	183	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	184	1	Synchronisation	synchronisation	NN
work_les4de22qzd4pkbxjnruyovkn4	184	2	across	across	IN
work_les4de22qzd4pkbxjnruyovkn4	184	3	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	184	4	blocks	block	NNS
work_les4de22qzd4pkbxjnruyovkn4	184	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	184	6	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	184	7	generally	generally	RB
work_les4de22qzd4pkbxjnruyovkn4	184	8	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	184	9	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	184	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	184	11	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	184	12	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	184	13	launch	launch	NN
work_les4de22qzd4pkbxjnruyovkn4	184	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	185	1	Device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	185	2	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	185	3	wide	wide	JJ
work_les4de22qzd4pkbxjnruyovkn4	185	4	synchronisation	synchronisation	NN
work_les4de22qzd4pkbxjnruyovkn4	185	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	185	6	achieved	achieve	VBN
work_les4de22qzd4pkbxjnruyovkn4	185	7	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	185	8	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	185	9	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	185	10	launches	launch	NNS
work_les4de22qzd4pkbxjnruyovkn4	185	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	186	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	186	2	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	186	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	186	4	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	186	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	186	6	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	186	7	synchronisation	synchronisation	NN
work_les4de22qzd4pkbxjnruyovkn4	186	8	barrier	barrier	NN
work_les4de22qzd4pkbxjnruyovkn4	186	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	186	10	required	require	VBN
work_les4de22qzd4pkbxjnruyovkn4	186	11	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	186	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	186	13	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	186	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	186	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	186	16	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	186	17	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	186	18	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	186	19	separated	separate	VBN
work_les4de22qzd4pkbxjnruyovkn4	186	20	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	186	21	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	186	22	distinct	distinct	JJ
work_les4de22qzd4pkbxjnruyovkn4	186	23	kernels	kernel	NNS
work_les4de22qzd4pkbxjnruyovkn4	186	24	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	186	25	synchronisation	synchronisation	NN
work_les4de22qzd4pkbxjnruyovkn4	186	26	occurs	occur	VBZ
work_les4de22qzd4pkbxjnruyovkn4	186	27	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	186	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	186	29	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	186	30	launches	launch	NNS
work_les4de22qzd4pkbxjnruyovkn4	186	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	187	1	Memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	187	2	architecture	architecture	NN
work_les4de22qzd4pkbxjnruyovkn4	187	3	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	187	4	exposes	expose	VBZ
work_les4de22qzd4pkbxjnruyovkn4	187	5	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	187	6	primary	primary	JJ
work_les4de22qzd4pkbxjnruyovkn4	187	7	tiers	tier	NNS
work_les4de22qzd4pkbxjnruyovkn4	187	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	187	9	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	187	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	187	11	reading	reading	NN
work_les4de22qzd4pkbxjnruyovkn4	187	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	187	13	writing	writing	NN
work_les4de22qzd4pkbxjnruyovkn4	187	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	188	1	Device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	188	2	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	188	3	wide	wide	JJ
work_les4de22qzd4pkbxjnruyovkn4	188	4	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	188	5	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	188	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	188	7	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	188	8	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	188	9	accessible	accessible	JJ
work_les4de22qzd4pkbxjnruyovkn4	188	10	shared	share	VBD
work_les4de22qzd4pkbxjnruyovkn4	188	11	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	188	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	188	13	thread	thread	VB
work_les4de22qzd4pkbxjnruyovkn4	188	14	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	188	15	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	188	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	189	1	�	�	JJ
work_les4de22qzd4pkbxjnruyovkn4	189	2	Global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	189	3	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	189	4	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	189	5	Global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	189	6	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	189	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	189	8	accessible	accessible	JJ
work_les4de22qzd4pkbxjnruyovkn4	189	9	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	189	10	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	189	11	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	189	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	189	13	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	189	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	189	15	highest	high	JJS
work_les4de22qzd4pkbxjnruyovkn4	189	16	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	189	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	190	1	Input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	190	2	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	190	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	190	4	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	190	5	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	190	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	190	7	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	190	8	amounts	amount	NNS
work_les4de22qzd4pkbxjnruyovkn4	190	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	190	10	working	work	VBG
work_les4de22qzd4pkbxjnruyovkn4	190	11	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	190	12	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	190	13	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	190	14	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	190	15	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	190	16	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	190	17	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	190	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	191	1	Global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	191	2	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	191	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	191	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	191	5	copied	copy	VBN
work_les4de22qzd4pkbxjnruyovkn4	191	6	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	191	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	191	8	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	191	9	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	191	10	i.e.	i.e.	FW
work_les4de22qzd4pkbxjnruyovkn4	192	1	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	192	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	192	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	192	4	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	192	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	192	6	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	192	7	computer	computer	NN
work_les4de22qzd4pkbxjnruyovkn4	192	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	192	9	vice	vice	NN
work_les4de22qzd4pkbxjnruyovkn4	192	10	versa	versa	RB
work_les4de22qzd4pkbxjnruyovkn4	192	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	193	1	Bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	193	2	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	193	3	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	193	4	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	193	5	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	193	6	transfers	transfer	NNS
work_les4de22qzd4pkbxjnruyovkn4	193	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	193	8	much	much	RB
work_les4de22qzd4pkbxjnruyovkn4	193	9	slower	slow	JJR
work_les4de22qzd4pkbxjnruyovkn4	193	10	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	193	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	193	12	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	193	13	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	193	14	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	193	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	193	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	193	17	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	193	18	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	193	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	194	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	194	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	194	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	194	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	194	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	194	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	194	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	194	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	194	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	194	10	11/37	11/37	CD
work_les4de22qzd4pkbxjnruyovkn4	194	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	194	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	194	13	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	194	14	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	194	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	194	16	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	194	17	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	194	18	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	194	19	transfers	transfer	NNS
work_les4de22qzd4pkbxjnruyovkn4	194	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	194	21	should	should	MD
work_les4de22qzd4pkbxjnruyovkn4	194	22	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	194	23	avoided	avoid	VBN
work_les4de22qzd4pkbxjnruyovkn4	194	24	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	194	25	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	194	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	195	1	Global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	195	2	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	195	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	195	4	accessed	access	VBN
work_les4de22qzd4pkbxjnruyovkn4	195	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	195	6	128	128	CD
work_les4de22qzd4pkbxjnruyovkn4	195	7	byte	byte	NN
work_les4de22qzd4pkbxjnruyovkn4	195	8	cache	cache	JJ
work_les4de22qzd4pkbxjnruyovkn4	195	9	lines	line	NNS
work_les4de22qzd4pkbxjnruyovkn4	195	10	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	195	11	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	195	12	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	195	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	196	1	Memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	196	2	accesses	access	NNS
work_les4de22qzd4pkbxjnruyovkn4	196	3	should	should	MD
work_les4de22qzd4pkbxjnruyovkn4	196	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	196	5	coalesced	coalesce	VBN
work_les4de22qzd4pkbxjnruyovkn4	196	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	196	7	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	196	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	196	9	achieve	achieve	VB
work_les4de22qzd4pkbxjnruyovkn4	196	10	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	196	11	bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	196	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	197	1	Coalescing	coalescing	NN
work_les4de22qzd4pkbxjnruyovkn4	197	2	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	197	3	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	197	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	197	5	grouping	grouping	NN
work_les4de22qzd4pkbxjnruyovkn4	197	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	197	7	aligned	align	VBN
work_les4de22qzd4pkbxjnruyovkn4	197	8	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	197	9	load	load	NN
work_les4de22qzd4pkbxjnruyovkn4	197	10	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	197	11	store	store	NN
work_les4de22qzd4pkbxjnruyovkn4	197	12	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	197	13	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	197	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	197	15	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	197	16	transaction	transaction	NN
work_les4de22qzd4pkbxjnruyovkn4	197	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	198	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	198	2	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	198	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	198	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	198	5	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	198	6	coalesced	coalesce	VBN
work_les4de22qzd4pkbxjnruyovkn4	198	7	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	198	8	read	read	NN
work_les4de22qzd4pkbxjnruyovkn4	198	9	occurs	occur	VBZ
work_les4de22qzd4pkbxjnruyovkn4	198	10	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	198	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	198	12	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	198	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	198	14	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	198	15	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	198	16	loads	load	VBZ
work_les4de22qzd4pkbxjnruyovkn4	198	17	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	198	18	contiguous	contiguous	JJ
work_les4de22qzd4pkbxjnruyovkn4	198	19	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	198	20	byte	byte	NN
work_les4de22qzd4pkbxjnruyovkn4	198	21	words	word	NNS
work_les4de22qzd4pkbxjnruyovkn4	198	22	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	198	23	128	128	CD
work_les4de22qzd4pkbxjnruyovkn4	198	24	bytes	byte	NNS
work_les4de22qzd4pkbxjnruyovkn4	198	25	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	198	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	199	1	Fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	199	2	uncoalesced	uncoalesced	JJ
work_les4de22qzd4pkbxjnruyovkn4	199	3	reads	read	NNS
work_les4de22qzd4pkbxjnruyovkn4	199	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	199	5	typical	typical	JJ
work_les4de22qzd4pkbxjnruyovkn4	199	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	199	7	gather	gather	JJ
work_les4de22qzd4pkbxjnruyovkn4	199	8	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	199	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	199	10	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	199	11	limit	limit	VB
work_les4de22qzd4pkbxjnruyovkn4	199	12	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	199	13	bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	199	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	199	15	less	less	JJR
work_les4de22qzd4pkbxjnruyovkn4	199	16	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	199	17	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	199	18	%	%	NN
work_les4de22qzd4pkbxjnruyovkn4	199	19	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	199	20	peak	peak	NN
work_les4de22qzd4pkbxjnruyovkn4	199	21	bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	199	22	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	199	23	Harris	Harris	NNP
work_les4de22qzd4pkbxjnruyovkn4	199	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	199	25	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	199	26	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	199	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	200	1	�	�	JJ
work_les4de22qzd4pkbxjnruyovkn4	200	2	Shared	shared	JJ
work_les4de22qzd4pkbxjnruyovkn4	200	3	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	200	4	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	200	5	48	48	CD
work_les4de22qzd4pkbxjnruyovkn4	200	6	KB	kb	NN
work_les4de22qzd4pkbxjnruyovkn4	200	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	200	8	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	200	9	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	200	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	200	11	available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	200	12	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	200	13	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	200	14	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	200	15	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	200	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	201	1	Shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	201	2	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	201	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	201	4	accessible	accessible	JJ
work_les4de22qzd4pkbxjnruyovkn4	201	5	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	201	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	201	7	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	201	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	201	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	201	10	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	201	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	201	12	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	201	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	201	14	significantly	significantly	RB
work_les4de22qzd4pkbxjnruyovkn4	201	15	lower	low	JJR
work_les4de22qzd4pkbxjnruyovkn4	201	16	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	201	17	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	201	18	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	201	19	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	201	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	202	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	202	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	202	3	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	202	4	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	202	5	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	202	6	working	work	VBG
work_les4de22qzd4pkbxjnruyovkn4	202	7	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	202	8	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	202	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	202	10	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	202	11	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	202	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	202	13	sometimes	sometimes	RB
work_les4de22qzd4pkbxjnruyovkn4	202	14	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	202	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	202	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	202	17	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	202	18	programmer	programmer	NN
work_les4de22qzd4pkbxjnruyovkn4	202	19	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	202	20	managed	manage	VBN
work_les4de22qzd4pkbxjnruyovkn4	202	21	cache	cache	NN
work_les4de22qzd4pkbxjnruyovkn4	202	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	202	23	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	202	24	�	�	JJ
work_les4de22qzd4pkbxjnruyovkn4	202	25	Registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	202	26	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	202	27	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	202	28	finite	finite	JJ
work_les4de22qzd4pkbxjnruyovkn4	202	29	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	202	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	202	31	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	202	32	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	202	33	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	202	34	available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	202	35	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	202	36	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	202	37	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	202	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	203	1	Operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	203	2	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	203	3	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	203	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	203	5	generally	generally	RB
work_les4de22qzd4pkbxjnruyovkn4	203	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	203	7	fastest	fast	JJS
work_les4de22qzd4pkbxjnruyovkn4	203	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	204	1	Threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	204	2	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	204	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	204	4	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	204	5	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	204	6	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	204	7	read	read	VB
work_les4de22qzd4pkbxjnruyovkn4	204	8	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	204	9	write	write	VB
work_les4de22qzd4pkbxjnruyovkn4	204	10	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	204	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	204	12	other	other	JJ
work_les4de22qzd4pkbxjnruyovkn4	204	13	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	204	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	204	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	204	16	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	204	17	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	204	18	intrinsic	intrinsic	JJ
work_les4de22qzd4pkbxjnruyovkn4	204	19	instructions	instruction	NNS
work_les4de22qzd4pkbxjnruyovkn4	204	20	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	204	21	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	204	22	shuffle	shuffle	NN
work_les4de22qzd4pkbxjnruyovkn4	204	23	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	204	24	broadcast	broadcast	VBN
work_les4de22qzd4pkbxjnruyovkn4	204	25	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	204	26	Nvidia	Nvidia	NNP
work_les4de22qzd4pkbxjnruyovkn4	204	27	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	204	28	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	204	29	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	204	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	205	1	Parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	205	2	primitives	primitive	VBZ
work_les4de22qzd4pkbxjnruyovkn4	205	3	Graphicsprocessingunitprimitivesaresmall	Graphicsprocessingunitprimitivesaresmall	NNP
work_les4de22qzd4pkbxjnruyovkn4	205	4	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	205	5	usedasbuildingblocksinmassively	usedasbuildingblocksinmassively	RB
work_les4de22qzd4pkbxjnruyovkn4	205	6	parallel	parallel	VBP
work_les4de22qzd4pkbxjnruyovkn4	205	7	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	205	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	206	1	While	while	IN
work_les4de22qzd4pkbxjnruyovkn4	206	2	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	206	3	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	206	4	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	206	5	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	206	6	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	206	7	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	206	8	expressed	express	VBN
work_les4de22qzd4pkbxjnruyovkn4	206	9	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	206	10	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	206	11	programs	program	NNS
work_les4de22qzd4pkbxjnruyovkn4	206	12	without	without	IN
work_les4de22qzd4pkbxjnruyovkn4	206	13	them	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	206	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	206	15	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	206	16	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	206	17	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	206	18	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	206	19	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	206	20	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	206	21	compose	compose	VB
work_les4de22qzd4pkbxjnruyovkn4	206	22	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	206	23	complicated	complicated	JJ
work_les4de22qzd4pkbxjnruyovkn4	206	24	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	206	25	while	while	IN
work_les4de22qzd4pkbxjnruyovkn4	206	26	retaining	retain	VBG
work_les4de22qzd4pkbxjnruyovkn4	206	27	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	206	28	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	206	29	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	206	30	readability	readability	NN
work_les4de22qzd4pkbxjnruyovkn4	206	31	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	206	32	reliability	reliability	NN
work_les4de22qzd4pkbxjnruyovkn4	206	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	207	1	Understanding	understanding	NN
work_les4de22qzd4pkbxjnruyovkn4	207	2	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	207	3	specific	specific	JJ
work_les4de22qzd4pkbxjnruyovkn4	207	4	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	207	5	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	207	6	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	207	7	achieved	achieve	VBN
work_les4de22qzd4pkbxjnruyovkn4	207	8	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	207	9	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	207	10	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	207	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	207	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	207	13	relative	relative	JJ
work_les4de22qzd4pkbxjnruyovkn4	207	14	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	207	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	207	16	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	207	17	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	207	18	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	207	19	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	207	20	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	207	21	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	207	22	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	207	23	counterparts	counterpart	NNS
work_les4de22qzd4pkbxjnruyovkn4	207	24	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	207	25	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	207	26	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	207	27	designing	design	VBG
work_les4de22qzd4pkbxjnruyovkn4	207	28	effective	effective	JJ
work_les4de22qzd4pkbxjnruyovkn4	207	29	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	207	30	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	207	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	208	1	Reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	208	2	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	208	3	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	208	4	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	208	5	reduces	reduce	VBZ
work_les4de22qzd4pkbxjnruyovkn4	208	6	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	208	7	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	208	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	208	9	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	208	10	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	208	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	208	12	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	208	13	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	208	14	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	208	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	208	16	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	208	17	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	208	18	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	208	19	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	208	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	209	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	209	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	209	3	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	209	4	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	209	5	associative	associative	NN
work_les4de22qzd4pkbxjnruyovkn4	209	6	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	209	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	209	8	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	209	9	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	209	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	209	11	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	209	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	209	13	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	209	14	returns	return	VBZ
work_les4de22qzd4pkbxjnruyovkn4	209	15	ða0	ða0	NNP
work_les4de22qzd4pkbxjnruyovkn4	209	16	a1	a1	NNP
work_les4de22qzd4pkbxjnruyovkn4	209	17	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	209	18	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	209	19	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	209	20	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	209	21	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	209	22	1Þ.	1þ.	CD
work_les4de22qzd4pkbxjnruyovkn4	210	1	Note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	210	2	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	210	3	floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	210	4	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	210	5	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	210	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	210	7	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	210	8	strictly	strictly	RB
work_les4de22qzd4pkbxjnruyovkn4	210	9	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	210	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	211	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	211	2	means	mean	VBZ
work_les4de22qzd4pkbxjnruyovkn4	211	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	211	4	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	211	5	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	211	6	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	211	7	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	211	8	likely	likely	RB
work_les4de22qzd4pkbxjnruyovkn4	211	9	result	result	VB
work_les4de22qzd4pkbxjnruyovkn4	211	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	211	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	211	12	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	211	13	answer	answer	NN
work_les4de22qzd4pkbxjnruyovkn4	211	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	211	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	211	16	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	211	17	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	211	18	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	211	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	211	20	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	211	21	applies	apply	VBZ
work_les4de22qzd4pkbxjnruyovkn4	211	22	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	211	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	211	24	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	211	25	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	211	26	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	211	27	below	below	RB
work_les4de22qzd4pkbxjnruyovkn4	211	28	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	211	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	212	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	212	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	212	3	discussed	discuss	VBN
work_les4de22qzd4pkbxjnruyovkn4	212	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	212	5	greater	great	JJR
work_les4de22qzd4pkbxjnruyovkn4	212	6	detail	detail	NN
work_les4de22qzd4pkbxjnruyovkn4	212	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	212	8	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	212	9	Floating	floating	JJ
work_les4de22qzd4pkbxjnruyovkn4	212	10	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	212	11	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	212	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	212	13	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	212	14	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	212	15	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	212	16	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	212	17	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	212	18	easy	easy	JJ
work_les4de22qzd4pkbxjnruyovkn4	212	19	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	212	20	implement	implement	VB
work_les4de22qzd4pkbxjnruyovkn4	212	21	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	212	22	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	212	23	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	212	24	passing	pass	VBG
work_les4de22qzd4pkbxjnruyovkn4	212	25	partial	partial	JJ
work_les4de22qzd4pkbxjnruyovkn4	212	26	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	212	27	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	212	28	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	212	29	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	212	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	212	31	taking	take	VBG
work_les4de22qzd4pkbxjnruyovkn4	212	32	O(logn	O(logn	NNP
work_les4de22qzd4pkbxjnruyovkn4	212	33	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	212	34	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	212	35	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	212	36	n	n	CC
work_les4de22qzd4pkbxjnruyovkn4	212	37	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	212	38	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	212	39	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	212	40	n	n	JJ
work_les4de22qzd4pkbxjnruyovkn4	212	41	processors	processor	NNS
work_les4de22qzd4pkbxjnruyovkn4	212	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	213	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	213	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	213	3	illustrated	illustrate	VBN
work_les4de22qzd4pkbxjnruyovkn4	213	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	213	5	Fig	Fig	NNP
work_les4de22qzd4pkbxjnruyovkn4	213	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	214	1	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	214	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	215	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	215	2	practice	practice	NN
work_les4de22qzd4pkbxjnruyovkn4	215	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	215	4	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	215	5	implementations	implementation	NNS
work_les4de22qzd4pkbxjnruyovkn4	215	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	215	7	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	215	8	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	215	9	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	215	10	launch	launch	VB
work_les4de22qzd4pkbxjnruyovkn4	215	11	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	215	12	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	215	13	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	215	14	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	215	15	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	215	16	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	215	17	instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	215	18	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	215	19	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	215	20	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	215	21	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	215	22	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	215	23	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	215	24	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	215	25	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	215	26	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	215	27	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	215	28	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	215	29	sum	sum	VBP
work_les4de22qzd4pkbxjnruyovkn4	215	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	215	31	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	215	32	together	together	RB
work_les4de22qzd4pkbxjnruyovkn4	215	33	sequentially	sequentially	RB
work_les4de22qzd4pkbxjnruyovkn4	215	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	216	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	216	2	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	216	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	216	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	216	5	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	216	6	varies	vary	VBZ
work_les4de22qzd4pkbxjnruyovkn4	216	7	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	216	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	216	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	216	10	optimal	optimal	JJ
work_les4de22qzd4pkbxjnruyovkn4	216	11	granularity	granularity	NN
work_les4de22qzd4pkbxjnruyovkn4	216	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	216	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	216	14	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	216	15	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	216	16	architecture	architecture	NN
work_les4de22qzd4pkbxjnruyovkn4	216	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	217	1	Reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	217	2	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	217	3	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	217	4	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	217	5	tiered	tiere	VBN
work_les4de22qzd4pkbxjnruyovkn4	217	6	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	217	7	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	217	8	layers	layer	NNS
work_les4de22qzd4pkbxjnruyovkn4	217	9	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	217	10	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	217	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	217	12	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	217	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	217	14	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	217	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	218	1	Individual	individual	JJ
work_les4de22qzd4pkbxjnruyovkn4	218	2	warps	warps	NN
work_les4de22qzd4pkbxjnruyovkn4	218	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	218	4	very	very	RB
work_les4de22qzd4pkbxjnruyovkn4	218	5	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	218	6	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	218	7	partial	partial	JJ
work_les4de22qzd4pkbxjnruyovkn4	218	8	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	218	9	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	218	10	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	218	11	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	218	12	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	218	13	shuffle	shuffle	NN
work_les4de22qzd4pkbxjnruyovkn4	218	14	instructions	instruction	NNS
work_les4de22qzd4pkbxjnruyovkn4	218	15	introduced	introduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	218	16	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	218	17	Nvidia	Nvidia	NNP
work_les4de22qzd4pkbxjnruyovkn4	218	18	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	218	19	Kepler	Kepler	NNP
work_les4de22qzd4pkbxjnruyovkn4	218	20	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	218	21	architecture	architecture	NN
work_les4de22qzd4pkbxjnruyovkn4	218	22	onwards	onwards	RB
work_les4de22qzd4pkbxjnruyovkn4	218	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	219	1	As	as	IN
work_les4de22qzd4pkbxjnruyovkn4	219	2	smaller	small	JJR
work_les4de22qzd4pkbxjnruyovkn4	219	3	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	219	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	219	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	219	6	combined	combine	VBN
work_les4de22qzd4pkbxjnruyovkn4	219	7	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	219	8	larger	large	JJR
work_les4de22qzd4pkbxjnruyovkn4	219	9	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	219	10	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	219	11	simply	simply	RB
work_les4de22qzd4pkbxjnruyovkn4	219	12	applying	apply	VBG
work_les4de22qzd4pkbxjnruyovkn4	219	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	219	14	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	219	15	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	219	16	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	219	17	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	219	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	219	19	outputs	output	NNS
work_les4de22qzd4pkbxjnruyovkn4	219	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	219	21	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	219	22	smaller	small	JJR
work_les4de22qzd4pkbxjnruyovkn4	219	23	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	219	24	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	219	25	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	219	26	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	219	27	combined	combine	VBN
work_les4de22qzd4pkbxjnruyovkn4	219	28	together	together	RB
work_les4de22qzd4pkbxjnruyovkn4	219	29	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	219	30	get	get	VB
work_les4de22qzd4pkbxjnruyovkn4	219	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	219	32	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	219	33	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	219	34	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	219	35	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	219	36	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	219	37	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	220	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	220	2	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	220	3	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	220	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	220	5	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	220	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	220	7	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	220	8	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	220	9	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	220	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	220	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	220	12	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	220	13	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	220	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	221	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	221	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	221	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	221	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	221	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	221	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	221	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	221	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	221	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	221	10	12/37	12/37	CD
work_les4de22qzd4pkbxjnruyovkn4	221	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	221	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_les4de22qzd4pkbxjnruyovkn4	221	13	iterate	iterate	VBP
work_les4de22qzd4pkbxjnruyovkn4	221	14	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	221	15	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	221	16	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	221	17	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	221	18	sequentially	sequentially	RB
work_les4de22qzd4pkbxjnruyovkn4	221	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	221	20	summing	sum	VBG
work_les4de22qzd4pkbxjnruyovkn4	221	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	221	22	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	221	23	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	221	24	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	221	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	222	1	When	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	222	2	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	222	3	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	222	4	blocks	block	NNS
work_les4de22qzd4pkbxjnruyovkn4	222	5	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	222	6	finished	finish	VBN
work_les4de22qzd4pkbxjnruyovkn4	222	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	222	8	results	result	NNS
work_les4de22qzd4pkbxjnruyovkn4	222	9	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	222	10	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	222	11	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	222	12	summed	sum	VBN
work_les4de22qzd4pkbxjnruyovkn4	222	13	together	together	RB
work_les4de22qzd4pkbxjnruyovkn4	222	14	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	222	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	222	16	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	222	17	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	222	18	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	222	19	produce	produce	VB
work_les4de22qzd4pkbxjnruyovkn4	222	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	222	21	final	final	JJ
work_les4de22qzd4pkbxjnruyovkn4	222	22	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	222	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	223	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	223	2	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	223	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	223	4	code	code	NN
work_les4de22qzd4pkbxjnruyovkn4	223	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	223	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	223	7	fast	fast	JJ
work_les4de22qzd4pkbxjnruyovkn4	223	8	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	223	9	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	223	10	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	223	11	shuffle	shuffle	NN
work_les4de22qzd4pkbxjnruyovkn4	223	12	intrinsics	intrinsic	NNS
work_les4de22qzd4pkbxjnruyovkn4	223	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	223	14	communicate	communicate	VB
work_les4de22qzd4pkbxjnruyovkn4	223	15	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	223	16	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	223	17	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	223	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	223	19	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	223	20	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	223	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	224	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	224	2	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	224	3	shuffle	shuffle	NN
work_les4de22qzd4pkbxjnruyovkn4	224	4	down	down	RP
work_les4de22qzd4pkbxjnruyovkn4	224	5	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	224	6	instruction	instruction	NN
work_les4de22qzd4pkbxjnruyovkn4	224	7	referred	refer	VBN
work_les4de22qzd4pkbxjnruyovkn4	224	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	224	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	224	10	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	224	11	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	224	12	simply	simply	RB
work_les4de22qzd4pkbxjnruyovkn4	224	13	allows	allow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	224	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	224	15	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	224	16	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	224	17	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	224	18	read	read	VB
work_les4de22qzd4pkbxjnruyovkn4	224	19	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	224	20	register	register	NN
work_les4de22qzd4pkbxjnruyovkn4	224	21	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	224	22	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	224	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	224	24	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	224	25	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	224	26	places	place	NNS
work_les4de22qzd4pkbxjnruyovkn4	224	27	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	224	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	224	29	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	224	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	224	31	so	so	RB
work_les4de22qzd4pkbxjnruyovkn4	224	32	long	long	RB
work_les4de22qzd4pkbxjnruyovkn4	224	33	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	224	34	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	224	35	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	224	36	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	224	37	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	224	38	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	224	39	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	224	40	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	224	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	225	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	225	2	complete	complete	JJ
work_les4de22qzd4pkbxjnruyovkn4	225	3	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	225	4	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	225	5	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	225	6	requires	require	VBZ
work_les4de22qzd4pkbxjnruyovkn4	225	7	five	five	CD
work_les4de22qzd4pkbxjnruyovkn4	225	8	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	225	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	225	10	sum	sum	VB
work_les4de22qzd4pkbxjnruyovkn4	225	11	over	over	RP
work_les4de22qzd4pkbxjnruyovkn4	225	12	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	225	13	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	225	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	226	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	226	2	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	226	3	Warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	226	4	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	226	5	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	6	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	7	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	226	8	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	9	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	10	float	float	NN
work_les4de22qzd4pkbxjnruyovkn4	226	11	warp_reduce(float	warp_reduce(float	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	12	x	x	SYM
work_les4de22qzd4pkbxjnruyovkn4	226	13	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	226	14	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	226	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	226	16	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	226	17	int	int	NN
work_les4de22qzd4pkbxjnruyovkn4	226	18	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	226	19	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	226	20	16	16	CD
work_les4de22qzd4pkbxjnruyovkn4	226	21	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	226	22	d	d	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	23	>	>	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	24	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	226	25	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	226	26	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	226	27	/=	/=	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	28	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	226	29	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	226	30	x	x	NN
work_les4de22qzd4pkbxjnruyovkn4	226	31	+	+	SYM
work_les4de22qzd4pkbxjnruyovkn4	226	32	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	226	33	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	34	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	35	shfl_down(x	shfl_down(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	36	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	226	37	d	d	NNP
work_les4de22qzd4pkbxjnruyovkn4	226	38	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	226	39	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	226	40	return	return	NN
work_les4de22qzd4pkbxjnruyovkn4	226	41	x	x	NNS
work_les4de22qzd4pkbxjnruyovkn4	226	42	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	226	43	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	226	44	Reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	226	45	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	226	46	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	226	47	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	226	48	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	226	49	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	226	50	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	226	51	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	227	1	An	an	DT
work_les4de22qzd4pkbxjnruyovkn4	227	2	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	227	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	227	4	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	227	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	227	6	Harris	Harris	NNP
work_les4de22qzd4pkbxjnruyovkn4	227	7	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	227	8	2007	2007	CD
work_les4de22qzd4pkbxjnruyovkn4	227	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	227	10	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	227	11	approaches	approach	VBZ
work_les4de22qzd4pkbxjnruyovkn4	227	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	227	13	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	227	14	bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	227	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	227	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	227	17	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	227	18	tested	test	VBN
work_les4de22qzd4pkbxjnruyovkn4	227	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	228	1	Parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	228	2	prefix	prefix	NN
work_les4de22qzd4pkbxjnruyovkn4	228	3	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	228	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	228	5	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	228	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	228	7	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	228	8	prefix	prefix	JJ
work_les4de22qzd4pkbxjnruyovkn4	228	9	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	228	10	takes	take	VBZ
work_les4de22qzd4pkbxjnruyovkn4	228	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	228	12	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	228	13	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	228	14	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	228	15	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	228	16	most	most	RBS
work_les4de22qzd4pkbxjnruyovkn4	228	17	commonly	commonly	RB
work_les4de22qzd4pkbxjnruyovkn4	228	18	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	228	19	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	228	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	228	21	applies	apply	VBZ
work_les4de22qzd4pkbxjnruyovkn4	228	22	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	228	23	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	228	24	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	228	25	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	228	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	228	27	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	228	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	229	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	229	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	229	3	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	229	4	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	229	5	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	229	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	229	7	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	229	8	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	229	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	229	10	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	229	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	229	12	prefix	prefix	JJ
work_les4de22qzd4pkbxjnruyovkn4	229	13	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	229	14	returns	return	NNS
work_les4de22qzd4pkbxjnruyovkn4	229	15	½a0	½a0	ADD
work_les4de22qzd4pkbxjnruyovkn4	229	16	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	229	17	ða0	ða0	NNP
work_les4de22qzd4pkbxjnruyovkn4	229	18	a1Þ	a1Þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	229	19	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	229	20	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	229	21	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	229	22	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	229	23	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	229	24	ða0	ða0	NNP
work_les4de22qzd4pkbxjnruyovkn4	229	25	a1	a1	NNP
work_les4de22qzd4pkbxjnruyovkn4	229	26	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	229	27	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	229	28	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	229	29	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	229	30	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	229	31	1Þ	1þ	NN
work_les4de22qzd4pkbxjnruyovkn4	229	32	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	229	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	230	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	230	2	prefix	prefix	JJ
work_les4de22qzd4pkbxjnruyovkn4	230	3	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	230	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	230	5	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	230	6	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	230	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	230	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	230	9	calculation	calculation	NN
work_les4de22qzd4pkbxjnruyovkn4	230	10	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	230	11	seems	seem	VBZ
work_les4de22qzd4pkbxjnruyovkn4	230	12	inherently	inherently	RB
work_les4de22qzd4pkbxjnruyovkn4	230	13	serial	serial	JJ
work_les4de22qzd4pkbxjnruyovkn4	230	14	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	230	15	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	230	16	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	230	17	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	230	18	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	230	19	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	230	20	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	230	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	230	22	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	230	23	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	230	24	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	230	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	231	1	Let	let	VB
work_les4de22qzd4pkbxjnruyovkn4	231	2	us	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	231	3	consider	consider	VB
work_les4de22qzd4pkbxjnruyovkn4	231	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	231	5	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	231	6	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	231	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	231	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	231	9	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	231	10	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	231	11	first	first	RB
work_les4de22qzd4pkbxjnruyovkn4	231	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	231	13	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	231	14	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	231	15	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	231	16	Hillis	Hillis	NNP
work_les4de22qzd4pkbxjnruyovkn4	231	17	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	231	18	Steele	Steele	NNP
work_les4de22qzd4pkbxjnruyovkn4	231	19	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	231	20	1986	1986	CD
work_les4de22qzd4pkbxjnruyovkn4	231	21	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	231	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	232	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	232	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	232	3	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	232	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	232	5	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	232	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	232	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	233	1	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	233	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	233	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	233	4	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	233	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	233	6	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	233	7	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	233	8	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	233	9	apply	apply	VBP
work_les4de22qzd4pkbxjnruyovkn4	233	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	233	11	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	233	12	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	233	13	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	233	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	233	15	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	233	16	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	233	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	233	18	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	233	19	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	233	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	233	21	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	233	22	’s	’s	,
work_les4de22qzd4pkbxjnruyovkn4	233	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	234	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	234	2	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	234	3	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	234	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	234	5	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	234	6	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	234	7	element	element	NN
work_les4de22qzd4pkbxjnruyovkn4	234	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	234	9	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	234	10	takes	take	VBZ
work_les4de22qzd4pkbxjnruyovkn4	234	11	log2	log2	NN
work_les4de22qzd4pkbxjnruyovkn4	234	12	n	n	XX
work_les4de22qzd4pkbxjnruyovkn4	234	13	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	234	14	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	234	15	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	234	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	234	17	complete	complete	VB
work_les4de22qzd4pkbxjnruyovkn4	234	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	235	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	235	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	235	3	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	235	4	O(nlog2n	o(nlog2n	RP
work_les4de22qzd4pkbxjnruyovkn4	235	5	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	235	6	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	235	7	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	235	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	236	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	236	2	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	236	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	236	4	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	236	5	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	236	6	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	236	7	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	236	8	n	n	IN
work_les4de22qzd4pkbxjnruyovkn4	236	9	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	236	10	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	236	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	236	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	236	13	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	236	14	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	236	15	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	236	16	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	236	17	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	236	18	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	236	19	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	236	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	237	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	237	2	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	237	3	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	237	4	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	237	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	237	6	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	237	7	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	237	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	237	9	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	237	10	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	237	11	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	237	12	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	237	13	Sum	Sum	NNP
work_les4de22qzd4pkbxjnruyovkn4	237	14	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	237	15	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	237	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	238	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	238	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	238	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	238	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	238	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	238	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	238	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	238	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	238	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	238	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	239	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	239	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	239	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	239	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	239	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	239	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	239	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	239	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	239	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	239	10	13/37	13/37	CD
work_les4de22qzd4pkbxjnruyovkn4	239	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	239	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_les4de22qzd4pkbxjnruyovkn4	239	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	239	14	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	239	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	239	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	239	17	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	239	18	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	239	19	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	239	20	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	239	21	provide	provide	VB
work_les4de22qzd4pkbxjnruyovkn4	239	22	significantly	significantly	RB
work_les4de22qzd4pkbxjnruyovkn4	239	23	better	well	JJR
work_les4de22qzd4pkbxjnruyovkn4	239	24	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	239	25	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	239	26	practice	practice	NN
work_les4de22qzd4pkbxjnruyovkn4	239	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	240	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	240	2	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	240	3	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	240	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	240	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	240	6	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	240	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	240	8	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	240	9	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	240	10	1990	1990	CD
work_les4de22qzd4pkbxjnruyovkn4	240	11	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	240	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	241	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	241	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	241	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	241	4	separated	separate	VBN
work_les4de22qzd4pkbxjnruyovkn4	241	5	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	241	6	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	241	7	phases	phase	NNS
work_les4de22qzd4pkbxjnruyovkn4	241	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	241	9	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	241	10	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	241	11	upsweep	upsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	241	12	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	241	13	phase	phase	NN
work_les4de22qzd4pkbxjnruyovkn4	241	14	similar	similar	JJ
work_les4de22qzd4pkbxjnruyovkn4	241	15	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	241	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	241	17	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	241	18	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	241	19	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	241	20	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	241	21	downsweep	downsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	241	22	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	241	23	phase	phase	NN
work_les4de22qzd4pkbxjnruyovkn4	241	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	242	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	242	2	give	give	VBP
work_les4de22qzd4pkbxjnruyovkn4	242	3	pseudocode	pseudocode	NN
work_les4de22qzd4pkbxjnruyovkn4	242	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	242	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	242	6	upsweep	upsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	242	7	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	242	8	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	242	9	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	242	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	242	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	242	12	downsweep	downsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	242	13	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	242	14	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	242	15	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	242	16	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	242	17	phases	phase	NNS
work_les4de22qzd4pkbxjnruyovkn4	242	18	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	242	19	following	follow	VBG
work_les4de22qzd4pkbxjnruyovkn4	242	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	242	21	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	242	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	242	23	Harris	Harris	NNP
work_les4de22qzd4pkbxjnruyovkn4	242	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	242	25	Sengupta	Sengupta	NNP
work_les4de22qzd4pkbxjnruyovkn4	242	26	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	242	27	Owens	Owens	NNP
work_les4de22qzd4pkbxjnruyovkn4	242	28	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	242	29	2007	2007	CD
work_les4de22qzd4pkbxjnruyovkn4	242	30	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	242	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	243	1	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	243	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	243	3	Simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	243	4	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	243	5	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	243	6	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	243	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	244	1	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	3	Simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	244	4	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	244	5	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	244	7	d=1	d=1	NN
work_les4de22qzd4pkbxjnruyovkn4	244	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	244	9	log2n	log2n	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	10	do	do	VB
work_les4de22qzd4pkbxjnruyovkn4	244	11	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	244	13	k=0	k=0	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	244	15	n-1	n-1	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	244	17	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	244	18	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	244	19	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	244	20	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	244	21	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	244	22	2d-1	2d-1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	23	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	244	24	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	244	25	x[k	x[k	NN
work_les4de22qzd4pkbxjnruyovkn4	244	26	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	27	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	244	28	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	244	29	x[k	x[k	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	30	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	244	31	2d-1	2d-1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	32	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	33	+	+	SYM
work_les4de22qzd4pkbxjnruyovkn4	244	34	x[k	x[k	NN
work_les4de22qzd4pkbxjnruyovkn4	244	35	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	36	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	244	37	end	end	VBP
work_les4de22qzd4pkbxjnruyovkn4	244	38	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	244	39	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	244	40	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	244	41	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	244	42	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	43	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	44	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	45	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	46	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	244	47	upsweep	upsweep	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	48	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	49	offset	offset	NN
work_les4de22qzd4pkbxjnruyovkn4	244	50	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	244	51	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	52	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	53	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	244	54	d=	d=	JJ
work_les4de22qzd4pkbxjnruyovkn4	244	55	log2	log2	NN
work_les4de22qzd4pkbxjnruyovkn4	244	56	n	n	CD
work_les4de22qzd4pkbxjnruyovkn4	244	57	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	244	58	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	59	do	do	VB
work_les4de22qzd4pkbxjnruyovkn4	244	60	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	244	61	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	244	62	k=0	k=0	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	63	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	244	64	n-1	n-1	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	65	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	244	66	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	244	67	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	244	68	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	244	69	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	244	70	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	244	71	<	<	XX
work_les4de22qzd4pkbxjnruyovkn4	244	72	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	73	d-1	d-1	NN
work_les4de22qzd4pkbxjnruyovkn4	244	74	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	244	75	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	244	76	ai	ai	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	77	=	=	NN
work_les4de22qzd4pkbxjnruyovkn4	244	78	offset	offset	VBN
work_les4de22qzd4pkbxjnruyovkn4	244	79	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	244	80	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	244	81	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	82	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	83	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	244	84	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	244	85	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	86	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	87	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	244	88	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	89	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	244	90	bi	bi	NN
work_les4de22qzd4pkbxjnruyovkn4	244	91	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	244	92	offset	offset	NN
work_les4de22qzd4pkbxjnruyovkn4	244	93	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	244	94	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	244	95	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	96	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	97	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	244	98	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	244	99	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	100	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	101	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	244	102	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	244	103	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	244	104	x[bi	x[bi	NN
work_les4de22qzd4pkbxjnruyovkn4	244	105	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	106	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	244	107	x[bi	x[bi	ADD
work_les4de22qzd4pkbxjnruyovkn4	244	108	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	109	+	+	ADD
work_les4de22qzd4pkbxjnruyovkn4	244	110	x[ai	x[ai	.
work_les4de22qzd4pkbxjnruyovkn4	244	111	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	112	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	244	113	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	244	114	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	244	115	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	244	116	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	244	117	offset	offset	NN
work_les4de22qzd4pkbxjnruyovkn4	244	118	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	244	119	offset	offset	VBN
work_les4de22qzd4pkbxjnruyovkn4	244	120	*	*	NFP
work_les4de22qzd4pkbxjnruyovkn4	244	121	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	244	122	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	244	123	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	244	124	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	125	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	244	126	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	127	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	244	128	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	244	129	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	244	130	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	244	131	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	132	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	244	133	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	245	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	245	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	245	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	245	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	245	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	10	14/37	14/37	CD
work_les4de22qzd4pkbxjnruyovkn4	245	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	245	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	13	Figures	Figures	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	14	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	245	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	245	16	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	245	17	show	show	NN
work_les4de22qzd4pkbxjnruyovkn4	245	18	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	245	19	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	245	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	245	21	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	245	22	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	245	23	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	24	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	245	25	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	245	26	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	245	27	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	245	28	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	245	29	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	245	30	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	245	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	245	32	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	245	33	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	245	34	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	245	35	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	245	36	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	245	37	excludes	exclude	VBZ
work_les4de22qzd4pkbxjnruyovkn4	245	38	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	245	39	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	245	40	itself	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	245	41	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	245	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	246	1	Solid	solid	JJ
work_les4de22qzd4pkbxjnruyovkn4	246	2	lines	line	NNS
work_les4de22qzd4pkbxjnruyovkn4	246	3	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	246	4	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	246	5	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	246	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	246	7	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	246	8	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	246	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	246	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	246	11	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	246	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	246	13	dotted	dotted	JJ
work_les4de22qzd4pkbxjnruyovkn4	246	14	lines	line	NNS
work_les4de22qzd4pkbxjnruyovkn4	246	15	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	246	16	replacement	replacement	NN
work_les4de22qzd4pkbxjnruyovkn4	246	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	246	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	246	19	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	246	20	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	246	21	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	246	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	246	23	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	246	24	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	246	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	247	1	O(n	o(n	NN
work_les4de22qzd4pkbxjnruyovkn4	247	2	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	247	3	additions	addition	NNS
work_les4de22qzd4pkbxjnruyovkn4	247	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	247	5	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	247	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	247	7	both	both	CC
work_les4de22qzd4pkbxjnruyovkn4	247	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	247	9	upsweep	upsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	247	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	247	11	downsweep	downsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	247	12	phase	phase	NN
work_les4de22qzd4pkbxjnruyovkn4	247	13	resulting	result	VBG
work_les4de22qzd4pkbxjnruyovkn4	247	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	247	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	247	16	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	247	17	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	247	18	efficiency	efficiency	NN
work_les4de22qzd4pkbxjnruyovkn4	247	19	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	247	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	247	21	serial	serial	JJ
work_les4de22qzd4pkbxjnruyovkn4	247	22	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	247	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	248	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	248	2	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	248	3	variation	variation	NN
work_les4de22qzd4pkbxjnruyovkn4	248	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	248	5	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	248	6	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	248	7	processes	process	VBZ
work_les4de22qzd4pkbxjnruyovkn4	248	8	contiguous	contiguous	JJ
work_les4de22qzd4pkbxjnruyovkn4	248	9	blocks	block	NNS
work_les4de22qzd4pkbxjnruyovkn4	248	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	248	11	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	248	12	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	248	13	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	248	14	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	248	15	head	head	NN
work_les4de22qzd4pkbxjnruyovkn4	248	16	flags	flag	NNS
work_les4de22qzd4pkbxjnruyovkn4	248	17	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	248	18	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	248	19	easily	easily	RB
work_les4de22qzd4pkbxjnruyovkn4	248	20	formulated	formulate	VBN
work_les4de22qzd4pkbxjnruyovkn4	248	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	249	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	249	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	249	3	achieved	achieve	VBN
work_les4de22qzd4pkbxjnruyovkn4	249	4	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	249	5	creating	create	VBG
work_les4de22qzd4pkbxjnruyovkn4	249	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	249	7	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	249	8	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	249	9	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	249	10	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	249	11	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	249	12	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	249	13	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	249	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	250	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	250	2	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	250	3	tests	test	VBZ
work_les4de22qzd4pkbxjnruyovkn4	250	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	250	5	equality	equality	NN
work_les4de22qzd4pkbxjnruyovkn4	250	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	250	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	250	8	keys	key	NNS
work_les4de22qzd4pkbxjnruyovkn4	250	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	250	10	sums	sum	VBZ
work_les4de22qzd4pkbxjnruyovkn4	250	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	250	12	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	250	13	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	250	14	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	250	15	belong	belong	VBP
work_les4de22qzd4pkbxjnruyovkn4	250	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	250	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	250	18	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	250	19	sequence	sequence	NN
work_les4de22qzd4pkbxjnruyovkn4	250	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	251	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	251	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	251	3	discussed	discuss	VBN
work_les4de22qzd4pkbxjnruyovkn4	251	4	further	further	RB
work_les4de22qzd4pkbxjnruyovkn4	251	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	251	6	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	251	7	Scan	Scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	251	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	251	9	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	251	10	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	251	11	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	251	12	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	251	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	251	14	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	251	15	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	251	16	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	251	17	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	251	18	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	251	19	upsweep	upsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	251	20	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	251	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	252	1	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	2	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	252	3	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	4	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	252	5	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	252	6	downsweep	downsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	252	7	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	252	8	offset	offset	NN
work_les4de22qzd4pkbxjnruyovkn4	252	9	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	10	2log2n	2log2n	CD
work_les4de22qzd4pkbxjnruyovkn4	252	11	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	12	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	252	13	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	252	14	x[n	x[n	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	15	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	252	16	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	252	17	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	18	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	252	19	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	252	20	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	252	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	252	22	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	252	23	d=1	d=1	NN
work_les4de22qzd4pkbxjnruyovkn4	252	24	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	252	25	log2n	log2n	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	26	do	do	VB
work_les4de22qzd4pkbxjnruyovkn4	252	27	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	252	28	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	252	29	k=0	k=0	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	30	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	252	31	n-1	n-1	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	32	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	252	33	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	252	34	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	252	35	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	252	36	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	252	37	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	252	38	<	<	XX
work_les4de22qzd4pkbxjnruyovkn4	252	39	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	252	40	d-1	d-1	NN
work_les4de22qzd4pkbxjnruyovkn4	252	41	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	252	42	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	252	43	ai	ai	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	44	=	=	NN
work_les4de22qzd4pkbxjnruyovkn4	252	45	offset	offset	VBN
work_les4de22qzd4pkbxjnruyovkn4	252	46	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	252	47	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	252	48	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	252	49	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	50	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	252	51	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	252	52	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	252	53	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	54	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	252	55	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	252	56	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	252	57	bi	bi	NN
work_les4de22qzd4pkbxjnruyovkn4	252	58	=	=	NN
work_les4de22qzd4pkbxjnruyovkn4	252	59	offset	offset	VBN
work_les4de22qzd4pkbxjnruyovkn4	252	60	�	�	,
work_les4de22qzd4pkbxjnruyovkn4	252	61	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	252	62	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	252	63	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	64	k	k	NN
work_les4de22qzd4pkbxjnruyovkn4	252	65	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	252	66	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	252	67	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	68	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	252	69	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	252	70	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	252	71	t	t	NN
work_les4de22qzd4pkbxjnruyovkn4	252	72	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	252	73	x[ai	x[ai	.
work_les4de22qzd4pkbxjnruyovkn4	252	74	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	75	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	252	76	x[ai	x[ai	NN
work_les4de22qzd4pkbxjnruyovkn4	252	77	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	78	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	252	79	x[bi	x[bi	ADD
work_les4de22qzd4pkbxjnruyovkn4	252	80	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	81	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	252	82	x[bi	x[bi	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	83	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	84	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	252	85	x[bi	x[bi	ADD
work_les4de22qzd4pkbxjnruyovkn4	252	86	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	87	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	252	88	t	t	NN
work_les4de22qzd4pkbxjnruyovkn4	252	89	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	252	90	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	252	91	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	252	92	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	252	93	13	13	CD
work_les4de22qzd4pkbxjnruyovkn4	252	94	offset	offset	NN
work_les4de22qzd4pkbxjnruyovkn4	252	95	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	252	96	offset/2	offset/2	ADD
work_les4de22qzd4pkbxjnruyovkn4	252	97	14	14	CD
work_les4de22qzd4pkbxjnruyovkn4	252	98	end	end	VB
work_les4de22qzd4pkbxjnruyovkn4	252	99	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	100	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	252	101	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	102	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	252	103	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	252	104	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	252	105	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	252	106	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	107	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	252	108	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	253	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	253	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	253	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	253	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	253	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	10	15/37	15/37	CD
work_les4de22qzd4pkbxjnruyovkn4	253	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	253	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	13	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	253	14	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	253	15	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	253	16	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	253	17	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	253	18	implemented	implement	VBN
work_les4de22qzd4pkbxjnruyovkn4	253	19	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	253	20	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	253	21	intrinsics	intrinsic	NNS
work_les4de22qzd4pkbxjnruyovkn4	253	22	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	253	23	create	create	VB
work_les4de22qzd4pkbxjnruyovkn4	253	24	fast	fast	JJ
work_les4de22qzd4pkbxjnruyovkn4	253	25	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	253	26	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	253	27	prefix	prefix	NN
work_les4de22qzd4pkbxjnruyovkn4	253	28	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	253	29	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	253	30	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	253	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	253	32	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	253	33	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	253	34	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	253	35	Fig	Fig	NNP
work_les4de22qzd4pkbxjnruyovkn4	253	36	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	254	1	4	4	LS
work_les4de22qzd4pkbxjnruyovkn4	254	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	255	1	Code	code	NN
work_les4de22qzd4pkbxjnruyovkn4	255	2	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	255	3	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	255	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	255	5	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	255	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	255	7	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	255	8	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	255	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	256	1	Although	although	IN
work_les4de22qzd4pkbxjnruyovkn4	256	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	256	3	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	256	4	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	256	5	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	256	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	256	7	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	256	8	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	256	9	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	256	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	256	11	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	256	12	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	256	13	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	256	14	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	256	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	256	16	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	256	17	arrays	array	NNS
work_les4de22qzd4pkbxjnruyovkn4	256	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	256	19	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	256	20	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	256	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	257	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	257	2	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	257	3	Warp	Warp	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	4	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	257	5	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	6	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	7	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	257	8	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	9	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	10	float	float	NN
work_les4de22qzd4pkbxjnruyovkn4	257	11	warp_scan(float	warp_scan(float	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	12	x	x	LS
work_les4de22qzd4pkbxjnruyovkn4	257	13	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	14	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	257	15	int	int	NN
work_les4de22qzd4pkbxjnruyovkn4	257	16	lane_id	lane_id	NN
work_les4de22qzd4pkbxjnruyovkn4	257	17	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	257	18	threadIdx.x	threadidx.x	JJ
work_les4de22qzd4pkbxjnruyovkn4	257	19	%	%	NN
work_les4de22qzd4pkbxjnruyovkn4	257	20	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	257	21	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	257	22	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	257	23	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	257	24	int	int	NN
work_les4de22qzd4pkbxjnruyovkn4	257	25	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	257	26	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	257	27	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	257	28	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	257	29	d	d	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	30	<	<	XX
work_les4de22qzd4pkbxjnruyovkn4	257	31	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	257	32	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	257	33	d	d	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	34	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	35	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	257	36	2	2	LS
work_les4de22qzd4pkbxjnruyovkn4	257	37	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	38	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	257	39	float	float	NN
work_les4de22qzd4pkbxjnruyovkn4	257	40	tmp	tmp	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	41	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	257	42	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	43	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	44	shfl_up(x	shfl_up(x	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	45	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	257	46	d	d	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	47	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	48	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	257	49	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	257	50	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	257	51	lane_id	lane_id	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	52	>	>	XX
work_les4de22qzd4pkbxjnruyovkn4	257	53	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	257	54	offset	offset	NN
work_les4de22qzd4pkbxjnruyovkn4	257	55	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	56	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	257	57	x	x	NN
work_les4de22qzd4pkbxjnruyovkn4	257	58	+	+	SYM
work_les4de22qzd4pkbxjnruyovkn4	257	59	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	257	60	tmp	tmp	NN
work_les4de22qzd4pkbxjnruyovkn4	257	61	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	257	62	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	63	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	64	return	return	NN
work_les4de22qzd4pkbxjnruyovkn4	257	65	x	x	NNS
work_les4de22qzd4pkbxjnruyovkn4	257	66	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	257	67	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	257	68	Radix	Radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	69	sort	sort	NN
work_les4de22qzd4pkbxjnruyovkn4	257	70	Radix	Radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	257	71	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	257	72	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	257	73	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	257	74	follows	follow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	257	75	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	257	76	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	257	77	ability	ability	NN
work_les4de22qzd4pkbxjnruyovkn4	257	78	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	257	79	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	257	80	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	257	81	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	257	82	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	258	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	258	2	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	258	3	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	258	4	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	258	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	258	6	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	258	7	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	258	8	calculate	calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	258	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	258	10	scatter	scatter	NN
work_les4de22qzd4pkbxjnruyovkn4	258	11	offsets	offset	NNS
work_les4de22qzd4pkbxjnruyovkn4	258	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	258	13	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	258	14	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	258	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	258	16	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	258	17	radix	radix	NN
work_les4de22qzd4pkbxjnruyovkn4	258	18	digit	digit	NN
work_les4de22qzd4pkbxjnruyovkn4	258	19	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	258	20	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	258	21	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	258	22	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	258	23	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	258	24	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	258	25	Fig	Fig	NNP
work_les4de22qzd4pkbxjnruyovkn4	258	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	259	1	7	7	LS
work_les4de22qzd4pkbxjnruyovkn4	259	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	260	1	Flagging	flag	VBG
work_les4de22qzd4pkbxjnruyovkn4	260	2	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	260	3	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	260	4	0	0	NFP
work_les4de22qzd4pkbxjnruyovkn4	260	5	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	260	6	digits	digit	VBZ
work_les4de22qzd4pkbxjnruyovkn4	260	7	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	260	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	260	9	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	260	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	260	11	performing	perform	VBG
work_les4de22qzd4pkbxjnruyovkn4	260	12	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	260	13	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	260	14	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	260	15	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	260	16	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	260	17	flags	flag	NNS
work_les4de22qzd4pkbxjnruyovkn4	260	18	gives	give	VBZ
work_les4de22qzd4pkbxjnruyovkn4	260	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	260	20	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	260	21	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	260	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	260	23	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	260	24	zero	zero	CD
work_les4de22qzd4pkbxjnruyovkn4	260	25	digits	digit	NNS
work_les4de22qzd4pkbxjnruyovkn4	260	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	261	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	261	2	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	261	3	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	261	4	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	261	5	digits	digit	NNS
work_les4de22qzd4pkbxjnruyovkn4	261	6	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	261	7	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	261	8	placed	place	VBN
work_les4de22qzd4pkbxjnruyovkn4	261	9	after	after	RB
work_les4de22qzd4pkbxjnruyovkn4	261	10	all	all	RB
work_les4de22qzd4pkbxjnruyovkn4	261	11	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	261	12	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	261	13	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	261	14	digits	digit	NNS
work_les4de22qzd4pkbxjnruyovkn4	261	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	261	16	therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	261	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	261	18	final	final	JJ
work_les4de22qzd4pkbxjnruyovkn4	261	19	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	261	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	261	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	261	22	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	261	23	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	261	24	’s	’s	NN
work_les4de22qzd4pkbxjnruyovkn4	261	25	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	261	26	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	261	27	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	261	28	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	261	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	261	30	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	261	31	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	261	32	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	261	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	261	34	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	261	35	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	261	36	’s	’s	NN
work_les4de22qzd4pkbxjnruyovkn4	261	37	plus	plus	CC
work_les4de22qzd4pkbxjnruyovkn4	261	38	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	261	39	total	total	JJ
work_les4de22qzd4pkbxjnruyovkn4	261	40	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	261	41	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	261	42	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	261	43	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	261	44	’s	’s	NN
work_les4de22qzd4pkbxjnruyovkn4	261	45	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	262	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	262	2	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	262	3	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	262	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	262	5	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	262	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	262	7	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	262	8	digits	digit	NNS
work_les4de22qzd4pkbxjnruyovkn4	262	9	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	262	10	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	262	11	need	need	VB
work_les4de22qzd4pkbxjnruyovkn4	262	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	262	13	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	262	14	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	262	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	262	16	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	262	17	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	262	18	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	262	19	inferred	infer	VBN
work_les4de22qzd4pkbxjnruyovkn4	262	20	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	262	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	262	22	array	array	NNP
work_les4de22qzd4pkbxjnruyovkn4	262	23	index	index	NN
work_les4de22qzd4pkbxjnruyovkn4	262	24	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	262	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	262	26	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	262	27	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	262	28	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	262	29	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	262	30	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	262	31	’s	’s	NNP
work_les4de22qzd4pkbxjnruyovkn4	262	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	263	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	263	2	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	263	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	263	4	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	263	5	index	index	NN
work_les4de22qzd4pkbxjnruyovkn4	263	6	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	263	7	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	263	8	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	263	9	0-based	0-based	CD
work_les4de22qzd4pkbxjnruyovkn4	263	10	indexing	indexing	NN
work_les4de22qzd4pkbxjnruyovkn4	263	11	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	263	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	263	13	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	263	14	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	263	15	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	263	16	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	263	17	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	263	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	263	19	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	263	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	263	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	263	22	‘	‘	NN
work_les4de22qzd4pkbxjnruyovkn4	263	23	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	263	24	’s	’s	NN
work_les4de22qzd4pkbxjnruyovkn4	263	25	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	263	26	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	263	27	there	there	EX
work_les4de22qzd4pkbxjnruyovkn4	263	28	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	263	29	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	263	30	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	263	31	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	263	32	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	263	33	’s	’s	NN
work_les4de22qzd4pkbxjnruyovkn4	263	34	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	263	35	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	263	36	digit	digit	NN
work_les4de22qzd4pkbxjnruyovkn4	263	37	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	263	38	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	263	39	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	263	40	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	263	41	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	263	42	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	263	43	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	264	1	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	264	2	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	264	3	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	264	4	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	264	5	downsweep	downsweep	NN
work_les4de22qzd4pkbxjnruyovkn4	264	6	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	264	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	265	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	265	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	265	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	265	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	265	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	265	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	265	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	265	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	265	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	265	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	266	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	266	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	266	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	266	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	266	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	266	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	266	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	266	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	266	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	266	10	16/37	16/37	CD
work_les4de22qzd4pkbxjnruyovkn4	266	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	266	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_les4de22qzd4pkbxjnruyovkn4	266	13	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	266	14	basic	basic	JJ
work_les4de22qzd4pkbxjnruyovkn4	266	15	radix	radix	NNS
work_les4de22qzd4pkbxjnruyovkn4	266	16	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	266	17	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	266	18	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	266	19	sorts	sort	VBZ
work_les4de22qzd4pkbxjnruyovkn4	266	20	unsigned	unsigned	JJ
work_les4de22qzd4pkbxjnruyovkn4	266	21	integers	integer	NNS
work_les4de22qzd4pkbxjnruyovkn4	266	22	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	266	23	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	266	24	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	266	25	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	266	26	extended	extend	VBN
work_les4de22qzd4pkbxjnruyovkn4	266	27	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	266	28	correctly	correctly	RB
work_les4de22qzd4pkbxjnruyovkn4	266	29	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	266	30	signed	sign	VBN
work_les4de22qzd4pkbxjnruyovkn4	266	31	integers	integer	NNS
work_les4de22qzd4pkbxjnruyovkn4	266	32	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	266	33	floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	266	34	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	266	35	numbers	number	NNS
work_les4de22qzd4pkbxjnruyovkn4	266	36	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	266	37	simple	simple	JJ
work_les4de22qzd4pkbxjnruyovkn4	266	38	bitwise	bitwise	NN
work_les4de22qzd4pkbxjnruyovkn4	266	39	transformations	transformation	NNS
work_les4de22qzd4pkbxjnruyovkn4	266	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	267	1	Fast	fast	JJ
work_les4de22qzd4pkbxjnruyovkn4	267	2	implementations	implementation	NNS
work_les4de22qzd4pkbxjnruyovkn4	267	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	267	4	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	267	5	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	267	6	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	267	7	perform	perform	VBP
work_les4de22qzd4pkbxjnruyovkn4	267	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	267	9	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	267	10	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	267	11	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	267	12	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	267	13	bits	bit	NNS
work_les4de22qzd4pkbxjnruyovkn4	267	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	267	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	267	16	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	267	17	pass	pass	NN
work_les4de22qzd4pkbxjnruyovkn4	267	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	268	1	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	268	2	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	268	3	Grimshaw	Grimshaw	NNP
work_les4de22qzd4pkbxjnruyovkn4	268	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	268	5	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	268	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	268	7	show	show	VB
work_les4de22qzd4pkbxjnruyovkn4	268	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	268	9	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	268	10	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	268	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	268	12	practical	practical	JJ
work_les4de22qzd4pkbxjnruyovkn4	268	13	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	268	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	268	15	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	268	16	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	268	17	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	268	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	269	1	They	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	269	2	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	269	3	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	269	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	269	5	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	269	6	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	269	7	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	269	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	269	9	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	269	10	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	269	11	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	269	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	269	13	claim	claim	VBP
work_les4de22qzd4pkbxjnruyovkn4	269	14	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	269	15	have	have	VB
work_les4de22qzd4pkbxjnruyovkn4	269	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	269	17	fastest	fast	JJS
work_les4de22qzd4pkbxjnruyovkn4	269	18	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	269	19	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	269	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	269	21	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	269	22	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	269	23	programmable	programmable	JJ
work_les4de22qzd4pkbxjnruyovkn4	269	24	microarchitecture	microarchitecture	NN
work_les4de22qzd4pkbxjnruyovkn4	269	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	270	1	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	270	3	Radix	Radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	4	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	270	5	pass	pass	NN
work_les4de22qzd4pkbxjnruyovkn4	270	6	Input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	270	7	:X	:X	``
work_les4de22qzd4pkbxjnruyovkn4	270	8	Output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	270	9	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	10	Y	y	NN
work_les4de22qzd4pkbxjnruyovkn4	270	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	270	13	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	270	14	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	15	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	270	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	270	17	n	n	NN
work_les4de22qzd4pkbxjnruyovkn4	270	18	-	-	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	19	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	270	21	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	270	22	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	270	23	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	270	24	F[i	F[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	25	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	26	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	27	=	=	NN
work_les4de22qzd4pkbxjnruyovkn4	270	28	bit_flip(X[i	bit_flip(X[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	29	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	30	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	31	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	270	32	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	270	33	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	270	34	S	s	NN
work_les4de22qzd4pkbxjnruyovkn4	270	35	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	36	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	270	37	exclusive_scan(F	exclusive_scan(f	FW
work_les4de22qzd4pkbxjnruyovkn4	270	38	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	39	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	270	40	r	r	NN
work_les4de22qzd4pkbxjnruyovkn4	270	41	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	42	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	43	S[n	S[n	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	44	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	270	45	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	46	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	47	+	+	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	48	F[n	F[n	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	49	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	270	50	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	51	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	52	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	270	53	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	270	54	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	270	55	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	56	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	270	57	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	270	58	n	n	NN
work_les4de22qzd4pkbxjnruyovkn4	270	59	-	-	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	60	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	61	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	270	62	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	270	63	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	270	64	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	270	65	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	270	66	X[i	X[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	67	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	68	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	69	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	270	70	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	270	71	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	270	72	A[i	A[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	73	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	74	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	75	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	270	76	S[i	s[i	CD
work_les4de22qzd4pkbxjnruyovkn4	270	77	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	78	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	270	79	else	else	RB
work_les4de22qzd4pkbxjnruyovkn4	270	80	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	270	81	X[i	X[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	82	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	83	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	84	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	85	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	270	86	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	270	87	A[i	A[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	88	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	89	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	90	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	270	91	i	i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	92	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	270	93	S[i	S[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	94	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	95	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	270	96	r	r	NN
work_les4de22qzd4pkbxjnruyovkn4	270	97	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	270	98	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	270	99	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	270	100	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	270	101	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	270	102	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	103	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	270	104	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	270	105	n	n	NN
work_les4de22qzd4pkbxjnruyovkn4	270	106	-	-	SYM
work_les4de22qzd4pkbxjnruyovkn4	270	107	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	270	108	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	270	109	parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	270	110	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	270	111	13	13	CD
work_les4de22qzd4pkbxjnruyovkn4	270	112	Y[A[i	y[a[i	NN
work_les4de22qzd4pkbxjnruyovkn4	270	113	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	114	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	115	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	270	116	=	=	NFP
work_les4de22qzd4pkbxjnruyovkn4	270	117	X[i	X[i	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	118	]	]	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	270	119	14	14	CD
work_les4de22qzd4pkbxjnruyovkn4	270	120	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	270	121	Figure	Figure	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	122	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	270	123	Radix	Radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	270	124	sort	sort	NN
work_les4de22qzd4pkbxjnruyovkn4	270	125	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	270	126	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	271	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	271	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	271	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	271	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	271	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	271	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	271	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	271	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	271	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	271	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	272	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	272	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	272	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	272	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	272	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	10	17/37	17/37	CD
work_les4de22qzd4pkbxjnruyovkn4	272	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	272	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	13	Scan	Scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	272	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	272	15	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	272	16	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	272	17	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	272	18	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	272	19	Variations	Variations	NNPS
work_les4de22qzd4pkbxjnruyovkn4	272	20	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	272	21	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	272	22	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	272	23	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	272	24	consider	consider	VBP
work_les4de22qzd4pkbxjnruyovkn4	272	25	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	272	26	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	272	27	contained	contain	VBN
work_les4de22qzd4pkbxjnruyovkn4	272	28	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	272	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	272	30	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	272	31	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	272	32	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	272	33	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	272	34	identified	identify	VBN
work_les4de22qzd4pkbxjnruyovkn4	272	35	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	272	36	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	272	37	flags	flag	NNS
work_les4de22qzd4pkbxjnruyovkn4	272	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	273	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	273	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	273	3	useful	useful	JJ
work_les4de22qzd4pkbxjnruyovkn4	273	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	273	5	building	building	NN
work_les4de22qzd4pkbxjnruyovkn4	273	6	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	273	7	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	273	8	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	273	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	273	10	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	273	11	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	273	12	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	273	13	repartitioned	repartitione	VBN
work_les4de22qzd4pkbxjnruyovkn4	273	14	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	273	15	smaller	small	JJR
work_les4de22qzd4pkbxjnruyovkn4	273	16	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	273	17	smaller	small	JJR
work_les4de22qzd4pkbxjnruyovkn4	273	18	groups	group	NNS
work_les4de22qzd4pkbxjnruyovkn4	273	19	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	273	20	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	273	21	build	build	VBP
work_les4de22qzd4pkbxjnruyovkn4	273	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	273	23	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	273	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	274	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	274	2	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	274	3	describe	describe	VB
work_les4de22qzd4pkbxjnruyovkn4	274	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	274	5	input	input	JJ
work_les4de22qzd4pkbxjnruyovkn4	274	6	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	274	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	274	8	containing	contain	VBG
work_les4de22qzd4pkbxjnruyovkn4	274	9	either	either	CC
work_les4de22qzd4pkbxjnruyovkn4	274	10	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	274	11	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	274	12	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	274	13	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	274	14	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	274	15	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	274	16	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	274	17	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	274	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	275	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	275	2	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	275	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	275	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	275	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	275	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	275	7	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	275	8	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	275	9	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	275	10	demarcated	demarcate	VBN
work_les4de22qzd4pkbxjnruyovkn4	275	11	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	275	12	flags	flag	NNS
work_les4de22qzd4pkbxjnruyovkn4	275	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	276	1	Its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	276	2	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	276	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	276	4	mixed	mix	VBN
work_les4de22qzd4pkbxjnruyovkn4	276	5	up	up	RP
work_les4de22qzd4pkbxjnruyovkn4	276	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	276	7	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	276	8	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	276	9	reside	reside	VB
work_les4de22qzd4pkbxjnruyovkn4	276	10	contiguously	contiguously	RB
work_les4de22qzd4pkbxjnruyovkn4	276	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	276	12	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	276	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	277	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	277	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	277	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	277	4	contrast	contrast	NN
work_les4de22qzd4pkbxjnruyovkn4	277	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	277	6	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	277	7	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	277	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	277	9	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	277	10	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	277	11	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	277	12	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	277	13	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	277	14	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	277	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	278	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	278	2	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	278	3	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	278	4	reside	reside	VBP
work_les4de22qzd4pkbxjnruyovkn4	278	5	contiguously	contiguously	RB
work_les4de22qzd4pkbxjnruyovkn4	278	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	278	7	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	278	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	279	1	Segmented	segment	VBN
work_les4de22qzd4pkbxjnruyovkn4	279	2	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	3	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	279	4	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	279	5	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	279	6	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	279	7	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	279	8	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	279	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	279	10	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	279	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	279	12	Table	Table	NNP
work_les4de22qzd4pkbxjnruyovkn4	279	13	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	279	14	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	279	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	279	16	conventional	conventional	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	17	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	18	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	279	19	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	279	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	279	21	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	279	22	Parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	23	prefix	prefix	NN
work_les4de22qzd4pkbxjnruyovkn4	279	24	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	279	25	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	279	26	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	279	27	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	279	28	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	279	29	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	279	30	modifying	modify	VBG
work_les4de22qzd4pkbxjnruyovkn4	279	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	279	32	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	33	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	34	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	279	35	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	279	36	accept	accept	VB
work_les4de22qzd4pkbxjnruyovkn4	279	37	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	279	38	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	279	39	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	279	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	280	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	280	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	280	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	280	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	280	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	280	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	280	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	280	8	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	280	9	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	280	10	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	280	11	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	280	12	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	280	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	280	14	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	280	15	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	280	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	281	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	281	2	resets	reset	VBZ
work_les4de22qzd4pkbxjnruyovkn4	281	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	281	4	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	281	5	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	281	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	281	7	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	281	8	changes	change	NNS
work_les4de22qzd4pkbxjnruyovkn4	281	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	282	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	282	2	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	282	3	Segmented	Segmented	NNP
work_les4de22qzd4pkbxjnruyovkn4	282	4	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	282	5	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	282	6	KeyValue	KeyValue	NNP
work_les4de22qzd4pkbxjnruyovkn4	282	7	op(KeyValue	op(keyvalue	NN
work_les4de22qzd4pkbxjnruyovkn4	282	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	282	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	282	10	KeyValue	KeyValue	NNP
work_les4de22qzd4pkbxjnruyovkn4	282	11	b	b	NNP
work_les4de22qzd4pkbxjnruyovkn4	282	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	282	13	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	282	14	if(a.key	if(a.key	NNP
work_les4de22qzd4pkbxjnruyovkn4	282	15	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	282	16	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	282	17	b.key	b.key	UH
work_les4de22qzd4pkbxjnruyovkn4	282	18	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	282	19	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	282	20	b.value	b.value	CD
work_les4de22qzd4pkbxjnruyovkn4	282	21	+	+	SYM
work_les4de22qzd4pkbxjnruyovkn4	282	22	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	282	23	a.value	a.value	UH
work_les4de22qzd4pkbxjnruyovkn4	282	24	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	282	25	return	return	NN
work_les4de22qzd4pkbxjnruyovkn4	282	26	b	b	NN
work_les4de22qzd4pkbxjnruyovkn4	282	27	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	282	28	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	282	29	else	else	RB
work_les4de22qzd4pkbxjnruyovkn4	282	30	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	282	31	return	return	NN
work_les4de22qzd4pkbxjnruyovkn4	282	32	b	b	NN
work_les4de22qzd4pkbxjnruyovkn4	282	33	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	282	34	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	282	35	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	282	36	Segmented	segment	VBN
work_les4de22qzd4pkbxjnruyovkn4	282	37	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	282	38	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	282	39	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	282	40	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	282	41	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	282	42	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	282	43	implemented	implement	VBN
work_les4de22qzd4pkbxjnruyovkn4	282	44	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	282	45	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	282	46	applying	apply	VBG
work_les4de22qzd4pkbxjnruyovkn4	282	47	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	282	48	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	282	49	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	282	50	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	282	51	above	above	RB
work_les4de22qzd4pkbxjnruyovkn4	282	52	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	282	53	collecting	collect	VBG
work_les4de22qzd4pkbxjnruyovkn4	282	54	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	282	55	final	final	JJ
work_les4de22qzd4pkbxjnruyovkn4	282	56	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	282	57	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	282	58	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	282	59	sequence	sequence	NN
work_les4de22qzd4pkbxjnruyovkn4	282	60	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	283	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	283	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	283	3	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	283	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	283	5	last	last	JJ
work_les4de22qzd4pkbxjnruyovkn4	283	6	element	element	NN
work_les4de22qzd4pkbxjnruyovkn4	283	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	283	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	283	9	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	283	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	283	11	equivalent	equivalent	JJ
work_les4de22qzd4pkbxjnruyovkn4	283	12	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	283	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	283	14	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	283	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	284	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	284	2	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	284	3	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	284	4	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	284	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	285	1	Sequence	sequence	NN
work_les4de22qzd4pkbxjnruyovkn4	285	2	I	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	285	3	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	285	4	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	285	5	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	285	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	7	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	285	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	9	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	10	Values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	285	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	12	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	13	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	15	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	16	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	17	Values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	285	18	scan	scan	VB
work_les4de22qzd4pkbxjnruyovkn4	285	19	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	20	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	285	21	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	285	22	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	285	23	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	285	24	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	285	25	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	285	26	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	285	27	Segmented	Segmented	NNP
work_les4de22qzd4pkbxjnruyovkn4	285	28	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	285	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	286	1	Sequence	sequence	NN
work_les4de22qzd4pkbxjnruyovkn4	286	2	I	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	286	3	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	286	4	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	286	5	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	286	6	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	286	7	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	9	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	10	Values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	286	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	12	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	13	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	15	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	16	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	17	Values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	286	18	scan	scan	VB
work_les4de22qzd4pkbxjnruyovkn4	286	19	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	20	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	286	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	286	22	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	286	23	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	286	24	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	286	25	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	286	26	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	286	27	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	286	28	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	286	29	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	286	30	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	286	31	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	286	32	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	286	33	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	286	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	287	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	287	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	287	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	287	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	287	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	287	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	287	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	287	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	287	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	287	10	18/37	18/37	CD
work_les4de22qzd4pkbxjnruyovkn4	287	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	287	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	VBZ
work_les4de22qzd4pkbxjnruyovkn4	287	13	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	287	14	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	287	15	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	287	16	multireduce	multireduce	VB
work_les4de22qzd4pkbxjnruyovkn4	287	17	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	287	18	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	287	19	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	287	20	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	287	21	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	287	22	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	287	23	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	287	24	commonly	commonly	RB
work_les4de22qzd4pkbxjnruyovkn4	287	25	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	287	26	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	287	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	287	28	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	287	29	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	287	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	288	1	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	288	2	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	288	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	288	4	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	288	5	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	288	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	288	7	conventional	conventional	JJ
work_les4de22qzd4pkbxjnruyovkn4	288	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	288	9	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	288	10	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	288	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	288	12	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	288	13	Reduction	Reduction	NNP
work_les4de22qzd4pkbxjnruyovkn4	288	14	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	288	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	288	16	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	288	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	288	18	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	288	19	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	288	20	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	288	21	passed	pass	VBN
work_les4de22qzd4pkbxjnruyovkn4	288	22	up	up	RP
work_les4de22qzd4pkbxjnruyovkn4	288	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	288	24	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	288	25	instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	288	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	288	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	288	28	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	288	29	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	288	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	288	31	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	288	32	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	288	33	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	288	34	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	288	35	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	288	36	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	288	37	sequence	sequence	NN
work_les4de22qzd4pkbxjnruyovkn4	288	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	289	1	As	as	IN
work_les4de22qzd4pkbxjnruyovkn4	289	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	289	3	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	289	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	289	5	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	289	6	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	289	7	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	289	8	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	289	9	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	289	10	’	’	POS
work_les4de22qzd4pkbxjnruyovkn4	289	11	increases	increase	NNS
work_les4de22qzd4pkbxjnruyovkn4	289	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	289	13	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	289	14	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	289	15	becomes	become	VBZ
work_les4de22qzd4pkbxjnruyovkn4	289	16	impractical	impractical	JJ
work_les4de22qzd4pkbxjnruyovkn4	289	17	due	due	IN
work_les4de22qzd4pkbxjnruyovkn4	289	18	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	289	19	limits	limit	NNS
work_les4de22qzd4pkbxjnruyovkn4	289	20	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	289	21	temporary	temporary	JJ
work_les4de22qzd4pkbxjnruyovkn4	289	22	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	289	23	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	289	24	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	289	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	289	26	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	289	27	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	289	28	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	289	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	290	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	290	2	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	290	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	290	4	alternatively	alternatively	RB
work_les4de22qzd4pkbxjnruyovkn4	290	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	290	6	formulated	formulate	VBN
work_les4de22qzd4pkbxjnruyovkn4	290	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	290	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	290	9	histogram	histogram	NN
work_les4de22qzd4pkbxjnruyovkn4	290	10	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	290	11	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	290	12	atomic	atomic	JJ
work_les4de22qzd4pkbxjnruyovkn4	290	13	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	290	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	290	15	shared	shared	JJ
work_les4de22qzd4pkbxjnruyovkn4	290	16	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	290	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	291	1	Atomic	atomic	JJ
work_les4de22qzd4pkbxjnruyovkn4	291	2	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	291	3	allow	allow	VBP
work_les4de22qzd4pkbxjnruyovkn4	291	4	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	291	5	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	291	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	291	7	safely	safely	RB
work_les4de22qzd4pkbxjnruyovkn4	291	8	read	read	VB
work_les4de22qzd4pkbxjnruyovkn4	291	9	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	291	10	write	write	VB
work_les4de22qzd4pkbxjnruyovkn4	291	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	291	12	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	291	13	piece	piece	NN
work_les4de22qzd4pkbxjnruyovkn4	291	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	291	15	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	291	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	292	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	292	2	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	292	3	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	292	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	292	5	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	292	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	292	7	kept	keep	VBN
work_les4de22qzd4pkbxjnruyovkn4	292	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	292	9	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	292	10	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	292	11	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	292	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	292	13	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	292	14	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	292	15	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	292	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	293	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	293	2	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	293	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	293	4	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	293	5	read	read	VB
work_les4de22qzd4pkbxjnruyovkn4	293	6	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	293	7	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	293	8	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	293	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	293	10	increment	increment	VB
work_les4de22qzd4pkbxjnruyovkn4	293	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	293	12	appropriate	appropriate	JJ
work_les4de22qzd4pkbxjnruyovkn4	293	13	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	293	14	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	293	15	atomic	atomic	JJ
work_les4de22qzd4pkbxjnruyovkn4	293	16	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	293	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	294	1	When	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	294	2	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	294	3	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	294	4	contend	contend	VBP
work_les4de22qzd4pkbxjnruyovkn4	294	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	294	6	atomic	atomic	NNP
work_les4de22qzd4pkbxjnruyovkn4	294	7	read	read	VB
work_les4de22qzd4pkbxjnruyovkn4	294	8	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	294	9	write	write	VBP
work_les4de22qzd4pkbxjnruyovkn4	294	10	access	access	NN
work_les4de22qzd4pkbxjnruyovkn4	294	11	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	294	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	294	13	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	294	14	piece	piece	NN
work_les4de22qzd4pkbxjnruyovkn4	294	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	294	16	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	294	17	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	294	18	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	294	19	serialised	serialise	VBN
work_les4de22qzd4pkbxjnruyovkn4	294	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	295	1	Therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	295	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	295	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	295	4	histogram	histogram	NN
work_les4de22qzd4pkbxjnruyovkn4	295	5	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	295	6	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	295	7	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	295	8	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	295	9	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	295	10	result	result	VB
work_les4de22qzd4pkbxjnruyovkn4	295	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	295	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	295	13	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	295	14	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	295	15	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	295	16	being	be	VBG
work_les4de22qzd4pkbxjnruyovkn4	295	17	serialised	serialise	VBN
work_les4de22qzd4pkbxjnruyovkn4	295	18	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	295	19	i.e.	i.e.	FW
work_les4de22qzd4pkbxjnruyovkn4	296	1	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	296	2	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	296	3	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	296	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	296	5	operate	operate	VB
work_les4de22qzd4pkbxjnruyovkn4	296	6	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	296	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	296	8	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	296	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	296	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	297	1	As	as	IN
work_les4de22qzd4pkbxjnruyovkn4	297	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	297	3	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	297	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	297	5	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	297	6	increases	increase	NNS
work_les4de22qzd4pkbxjnruyovkn4	297	7	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	297	8	contention	contention	NN
work_les4de22qzd4pkbxjnruyovkn4	297	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	297	10	reduced	reduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	297	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	298	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	298	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	298	3	reason	reason	NN
work_les4de22qzd4pkbxjnruyovkn4	298	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	298	5	histogram	histogram	NNP
work_les4de22qzd4pkbxjnruyovkn4	298	6	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	298	7	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	298	8	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	298	9	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	298	10	appropriate	appropriate	JJ
work_les4de22qzd4pkbxjnruyovkn4	298	11	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	298	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	298	13	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	298	14	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	298	15	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	298	16	distributed	distribute	VBN
work_les4de22qzd4pkbxjnruyovkn4	298	17	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	298	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	298	19	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	298	20	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	298	21	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	298	22	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	298	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	299	1	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	299	2	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	299	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	299	4	multiscan	multiscan	NNP
work_les4de22qzd4pkbxjnruyovkn4	299	5	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	299	6	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	299	7	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	299	8	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	299	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	299	10	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	299	11	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	299	12	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	299	13	commonly	commonly	RB
work_les4de22qzd4pkbxjnruyovkn4	299	14	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	299	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	299	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	299	17	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	299	18	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	299	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	300	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	300	2	multiscan	multiscan	NN
work_les4de22qzd4pkbxjnruyovkn4	300	3	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	300	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	300	5	implemented	implement	VBN
work_les4de22qzd4pkbxjnruyovkn4	300	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	300	7	like	like	IN
work_les4de22qzd4pkbxjnruyovkn4	300	8	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	300	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	300	10	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	300	11	passing	pass	VBG
work_les4de22qzd4pkbxjnruyovkn4	300	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	300	13	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	300	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	300	15	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	300	16	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	300	17	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	300	18	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	300	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	300	20	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	300	21	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	300	22	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	300	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	301	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	301	2	increases	increase	VBZ
work_les4de22qzd4pkbxjnruyovkn4	301	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	301	4	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	301	5	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	301	6	requirements	requirement	NNS
work_les4de22qzd4pkbxjnruyovkn4	301	7	proportionally	proportionally	RB
work_les4de22qzd4pkbxjnruyovkn4	301	8	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	301	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	301	10	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	301	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	301	12	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	301	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	302	1	General	general	JJ
work_les4de22qzd4pkbxjnruyovkn4	302	2	purpose	purpose	NN
work_les4de22qzd4pkbxjnruyovkn4	302	3	multiscan	multiscan	NN
work_les4de22qzd4pkbxjnruyovkn4	302	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	302	5	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	302	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	302	7	discussed	discuss	VBN
work_les4de22qzd4pkbxjnruyovkn4	302	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	302	9	Eilers	Eilers	NNP
work_les4de22qzd4pkbxjnruyovkn4	302	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	302	11	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	302	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	302	13	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	302	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	302	15	conclusion	conclusion	NN
work_les4de22qzd4pkbxjnruyovkn4	302	16	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	302	17	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	302	18	multiscan	multiscan	NNP
work_les4de22qzd4pkbxjnruyovkn4	302	19	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	302	20	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	302	21	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	302	22	recommended	recommend	VBN
work_les4de22qzd4pkbxjnruyovkn4	302	23	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	302	24	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	302	25	general	general	JJ
work_les4de22qzd4pkbxjnruyovkn4	302	26	building	building	NN
work_les4de22qzd4pkbxjnruyovkn4	302	27	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	302	28	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	302	29	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	302	30	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	302	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	302	32	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	302	33	However	however	RB
work_les4de22qzd4pkbxjnruyovkn4	302	34	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	302	35	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	302	36	practical	practical	JJ
work_les4de22qzd4pkbxjnruyovkn4	302	37	implementations	implementation	NNS
work_les4de22qzd4pkbxjnruyovkn4	302	38	exist	exist	VBP
work_les4de22qzd4pkbxjnruyovkn4	302	39	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	302	40	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	302	41	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	302	42	up	up	RP
work_les4de22qzd4pkbxjnruyovkn4	302	43	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	302	44	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	302	45	limited	limited	JJ
work_les4de22qzd4pkbxjnruyovkn4	302	46	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	302	47	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	302	48	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	302	49	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	302	50	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	302	51	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	302	52	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	302	53	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	302	54	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	302	55	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	302	56	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	302	57	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	302	58	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	302	59	exceed	exceed	VB
work_les4de22qzd4pkbxjnruyovkn4	302	60	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	302	61	capacity	capacity	NN
work_les4de22qzd4pkbxjnruyovkn4	302	62	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	302	63	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	302	64	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	302	65	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	303	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	303	2	capacity	capacity	NN
work_les4de22qzd4pkbxjnruyovkn4	303	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	303	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	303	5	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	303	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	303	7	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	303	8	case	case	NN
work_les4de22qzd4pkbxjnruyovkn4	303	9	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	303	10	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	303	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	303	12	amount	amount	NN
work_les4de22qzd4pkbxjnruyovkn4	303	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	303	14	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	303	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	303	16	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	303	17	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	303	18	available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	303	19	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	303	20	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	303	21	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	303	22	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	303	23	store	store	VB
work_les4de22qzd4pkbxjnruyovkn4	303	24	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	303	25	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	303	26	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	303	27	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	303	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	304	1	Merill	Merill	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	304	3	Grimshaw	Grimshaw	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	4	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	304	5	optimised	optimised	JJ
work_les4de22qzd4pkbxjnruyovkn4	304	6	radix	radix	NN
work_les4de22qzd4pkbxjnruyovkn4	304	7	sort	sort	NN
work_les4de22qzd4pkbxjnruyovkn4	304	8	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	304	9	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	304	10	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	11	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	304	12	NVIDIA	NVIDIA	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	13	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	304	14	Labs	Labs	NNPS
work_les4de22qzd4pkbxjnruyovkn4	304	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	304	16	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	304	17	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	304	18	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	19	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	304	20	Grimshaw	Grimshaw	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	21	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	304	22	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	304	23	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	304	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	304	25	mentioned	mention	VBN
work_les4de22qzd4pkbxjnruyovkn4	304	26	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	304	27	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	304	28	Radix	Radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	304	29	sort	sort	NN
work_les4de22qzd4pkbxjnruyovkn4	304	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	304	31	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	304	32	relies	rely	VBZ
work_les4de22qzd4pkbxjnruyovkn4	304	33	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	304	34	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	304	35	eight	eight	CD
work_les4de22qzd4pkbxjnruyovkn4	304	36	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	304	37	way	way	NN
work_les4de22qzd4pkbxjnruyovkn4	304	38	multiscan	multiscan	NN
work_les4de22qzd4pkbxjnruyovkn4	304	39	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	304	40	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	304	41	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	304	42	calculate	calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	304	43	scatter	scatter	NN
work_les4de22qzd4pkbxjnruyovkn4	304	44	addresses	address	NNS
work_les4de22qzd4pkbxjnruyovkn4	304	45	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	304	46	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	304	47	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	304	48	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	304	49	bits	bit	NNS
work_les4de22qzd4pkbxjnruyovkn4	304	50	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	304	51	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	304	52	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	304	53	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	304	54	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	304	55	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	304	56	pass	pass	NN
work_les4de22qzd4pkbxjnruyovkn4	304	57	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	305	1	Floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	305	2	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	305	3	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	305	4	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	305	5	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	305	6	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	305	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	305	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	305	9	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	305	10	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	305	11	represents	represent	VBZ
work_les4de22qzd4pkbxjnruyovkn4	305	12	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	305	13	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	305	14	Hessian	Hessian	NNP
work_les4de22qzd4pkbxjnruyovkn4	305	15	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	305	16	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	305	17	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	305	18	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	305	19	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	305	20	floats	float	NNS
work_les4de22qzd4pkbxjnruyovkn4	305	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	306	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	306	2	intermediate	intermediate	JJ
work_les4de22qzd4pkbxjnruyovkn4	306	3	summations	summation	NNS
work_les4de22qzd4pkbxjnruyovkn4	306	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	306	5	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	306	6	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	306	7	64	64	CD
work_les4de22qzd4pkbxjnruyovkn4	306	8	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	306	9	doubles	double	NNS
work_les4de22qzd4pkbxjnruyovkn4	306	10	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	306	11	control	control	VB
work_les4de22qzd4pkbxjnruyovkn4	306	12	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	306	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	306	14	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	306	15	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	306	16	floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	306	17	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	306	18	addition	addition	NN
work_les4de22qzd4pkbxjnruyovkn4	306	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	307	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	307	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	307	3	problematic	problematic	JJ
work_les4de22qzd4pkbxjnruyovkn4	307	4	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	307	5	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	307	6	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	307	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	307	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	307	9	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	307	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	307	11	intermediate	intermediate	JJ
work_les4de22qzd4pkbxjnruyovkn4	307	12	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	307	13	involved	involve	VBN
work_les4de22qzd4pkbxjnruyovkn4	307	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	307	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	307	16	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	307	17	scales	scale	VBZ
work_les4de22qzd4pkbxjnruyovkn4	307	18	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	307	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	307	20	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	307	21	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	307	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	308	1	Using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	308	2	doubles	double	NNS
work_les4de22qzd4pkbxjnruyovkn4	308	3	significantly	significantly	RB
work_les4de22qzd4pkbxjnruyovkn4	308	4	increases	increase	VBZ
work_les4de22qzd4pkbxjnruyovkn4	308	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	308	6	usage	usage	NN
work_les4de22qzd4pkbxjnruyovkn4	308	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	308	8	scarce	scarce	JJ
work_les4de22qzd4pkbxjnruyovkn4	308	9	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	308	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	308	11	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	308	12	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	308	13	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	308	14	moreover	moreover	RB
work_les4de22qzd4pkbxjnruyovkn4	308	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	308	16	gaming	game	VBG
work_les4de22qzd4pkbxjnruyovkn4	308	17	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	308	18	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	308	19	optimised	optimise	VBN
work_les4de22qzd4pkbxjnruyovkn4	308	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	308	21	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	308	22	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	308	23	floating	floating	JJ
work_les4de22qzd4pkbxjnruyovkn4	308	24	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	308	25	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	308	26	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	308	27	give	give	VB
work_les4de22qzd4pkbxjnruyovkn4	308	28	relatively	relatively	RB
work_les4de22qzd4pkbxjnruyovkn4	308	29	poor	poor	JJ
work_les4de22qzd4pkbxjnruyovkn4	308	30	double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	308	31	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	308	32	throughput	throughput	NN
work_les4de22qzd4pkbxjnruyovkn4	308	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	309	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	309	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	309	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	309	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	309	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	309	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	309	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	309	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	309	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	309	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	310	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	310	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	310	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	310	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	310	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	310	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	310	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	310	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	310	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	310	10	19/37	19/37	CD
work_les4de22qzd4pkbxjnruyovkn4	310	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	310	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	310	13	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	310	14	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	310	15	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	310	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	310	17	theoretical	theoretical	JJ
work_les4de22qzd4pkbxjnruyovkn4	310	18	GFLOPs	gflop	NNS
work_les4de22qzd4pkbxjnruyovkn4	310	19	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	310	20	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	310	21	cards	card	NNS
work_les4de22qzd4pkbxjnruyovkn4	310	22	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	310	23	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	310	24	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	310	25	benchmarking	benchmarke	VBG
work_les4de22qzd4pkbxjnruyovkn4	310	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	311	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	311	2	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	311	3	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	311	4	GFLOPs	gflop	NNS
work_les4de22qzd4pkbxjnruyovkn4	311	5	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	311	6	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	311	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	311	8	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	311	9	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	311	10	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	311	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	311	12	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	311	13	cores	core	NNS
work_les4de22qzd4pkbxjnruyovkn4	311	14	�	�	JJ
work_les4de22qzd4pkbxjnruyovkn4	311	15	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	311	16	clock	clock	NN
work_les4de22qzd4pkbxjnruyovkn4	311	17	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	311	18	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	311	19	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	311	20	GHz	GHz	NNP
work_les4de22qzd4pkbxjnruyovkn4	311	21	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	311	22	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	311	23	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	311	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	311	25	factor	factor	NN
work_les4de22qzd4pkbxjnruyovkn4	311	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	311	27	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	311	28	represents	represent	VBZ
work_les4de22qzd4pkbxjnruyovkn4	311	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	311	30	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	311	31	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	311	32	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	311	33	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	311	34	required	require	VBN
work_les4de22qzd4pkbxjnruyovkn4	311	35	FMA	FMA	NNP
work_les4de22qzd4pkbxjnruyovkn4	311	36	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	311	37	fused	fuse	VBN
work_les4de22qzd4pkbxjnruyovkn4	311	38	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	311	39	multiply	multiply	NN
work_les4de22qzd4pkbxjnruyovkn4	311	40	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	311	41	add	add	NN
work_les4de22qzd4pkbxjnruyovkn4	311	42	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	311	43	instruction	instruction	NN
work_les4de22qzd4pkbxjnruyovkn4	311	44	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	312	1	Both	both	DT
work_les4de22qzd4pkbxjnruyovkn4	312	2	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	312	3	cards	card	NNS
work_les4de22qzd4pkbxjnruyovkn4	312	4	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	312	5	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	312	6	times	time	NNS
work_les4de22qzd4pkbxjnruyovkn4	312	7	more	more	JJR
work_les4de22qzd4pkbxjnruyovkn4	312	8	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	312	9	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	312	10	ALUs	alu	NNS
work_les4de22qzd4pkbxjnruyovkn4	312	11	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	312	12	arithmetic	arithmetic	JJ
work_les4de22qzd4pkbxjnruyovkn4	312	13	logic	logic	NN
work_les4de22qzd4pkbxjnruyovkn4	312	14	units	unit	NNS
work_les4de22qzd4pkbxjnruyovkn4	312	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	312	16	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	312	17	double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	312	18	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	312	19	ALUs	alu	NNS
work_les4de22qzd4pkbxjnruyovkn4	312	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	312	21	resulting	result	VBG
work_les4de22qzd4pkbxjnruyovkn4	312	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	312	23	1/32	1/32	CD
work_les4de22qzd4pkbxjnruyovkn4	312	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	312	25	theoretical	theoretical	JJ
work_les4de22qzd4pkbxjnruyovkn4	312	26	double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	312	27	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	312	28	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	312	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	313	1	Therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	313	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	313	3	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	313	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	313	5	relying	rely	VBG
work_les4de22qzd4pkbxjnruyovkn4	313	6	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	313	7	double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	313	8	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	313	9	arithmetic	arithmetic	JJ
work_les4de22qzd4pkbxjnruyovkn4	313	10	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	313	11	have	have	VB
work_les4de22qzd4pkbxjnruyovkn4	313	12	severely	severely	RB
work_les4de22qzd4pkbxjnruyovkn4	313	13	limited	limit	VBN
work_les4de22qzd4pkbxjnruyovkn4	313	14	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	313	15	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	313	16	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	313	17	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	313	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	314	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	314	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	314	3	test	test	VB
work_les4de22qzd4pkbxjnruyovkn4	314	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	314	5	loss	loss	NN
work_les4de22qzd4pkbxjnruyovkn4	314	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	314	7	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	314	8	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	314	9	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	314	10	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	314	11	floating	floating	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	12	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	314	13	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	314	14	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	314	15	see	see	VB
work_les4de22qzd4pkbxjnruyovkn4	314	16	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	314	17	double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	18	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	314	19	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	314	20	necessary	necessary	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	21	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	314	22	considering	consider	VBG
work_les4de22qzd4pkbxjnruyovkn4	314	23	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	314	24	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	314	25	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	26	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	314	27	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	28	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	314	29	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	314	30	summing	sum	VBG
work_les4de22qzd4pkbxjnruyovkn4	314	31	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	314	32	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	314	33	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	34	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	314	35	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	314	36	random	random	JJ
work_les4de22qzd4pkbxjnruyovkn4	314	37	numbers	number	NNS
work_les4de22qzd4pkbxjnruyovkn4	314	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	315	1	Sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	315	2	double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	315	3	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	315	4	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	315	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	315	6	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	315	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	315	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	315	9	baseline	baseline	NN
work_les4de22qzd4pkbxjnruyovkn4	315	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	315	11	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	315	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	315	13	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	315	14	measured	measure	VBN
work_les4de22qzd4pkbxjnruyovkn4	315	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	315	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	315	17	absolute	absolute	JJ
work_les4de22qzd4pkbxjnruyovkn4	315	18	difference	difference	NN
work_les4de22qzd4pkbxjnruyovkn4	315	19	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	315	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	315	21	baseline	baseline	NN
work_les4de22qzd4pkbxjnruyovkn4	315	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	316	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	316	2	experiment	experiment	NN
work_les4de22qzd4pkbxjnruyovkn4	316	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	316	4	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	316	5	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	316	6	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	316	7	million	million	CD
work_les4de22qzd4pkbxjnruyovkn4	316	8	random	random	JJ
work_les4de22qzd4pkbxjnruyovkn4	316	9	numbers	number	NNS
work_les4de22qzd4pkbxjnruyovkn4	316	10	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	316	11	-1	-1	.
work_les4de22qzd4pkbxjnruyovkn4	316	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	316	13	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	316	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	316	15	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	316	16	100	100	CD
work_les4de22qzd4pkbxjnruyovkn4	316	17	repeats	repeat	NNS
work_les4de22qzd4pkbxjnruyovkn4	316	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	317	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	317	2	mean	mean	JJ
work_les4de22qzd4pkbxjnruyovkn4	317	3	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	317	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	317	5	standard	standard	JJ
work_les4de22qzd4pkbxjnruyovkn4	317	6	deviation	deviation	NN
work_les4de22qzd4pkbxjnruyovkn4	317	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	317	8	reported	report	VBN
work_les4de22qzd4pkbxjnruyovkn4	317	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	317	10	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	317	11	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	317	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	318	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	318	2	Thrust	thrust	JJ
work_les4de22qzd4pkbxjnruyovkn4	318	3	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	318	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	318	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	318	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	318	7	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	318	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	318	9	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	318	10	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	318	11	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	318	12	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	318	13	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	318	14	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	318	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	319	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	319	2	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	319	3	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	319	4	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	319	5	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	319	6	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	319	7	dramatically	dramatically	RB
work_les4de22qzd4pkbxjnruyovkn4	319	8	superior	superior	JJ
work_les4de22qzd4pkbxjnruyovkn4	319	9	numerical	numerical	JJ
work_les4de22qzd4pkbxjnruyovkn4	319	10	stability	stability	NN
work_les4de22qzd4pkbxjnruyovkn4	319	11	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	319	12	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	319	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	319	14	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	319	15	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	319	16	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	319	17	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	319	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	320	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	320	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	320	3	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	320	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	320	5	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	320	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	320	7	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	320	8	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	320	9	grows	grow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	320	10	proportionally	proportionally	RB
work_les4de22qzd4pkbxjnruyovkn4	320	11	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	320	12	O(logn	O(logn	NNP
work_les4de22qzd4pkbxjnruyovkn4	320	13	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	320	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	320	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	320	16	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	320	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	320	18	O(n	o(n	NN
work_les4de22qzd4pkbxjnruyovkn4	320	19	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	320	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	320	21	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	320	22	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	320	23	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	320	24	Higham	Higham	NNP
work_les4de22qzd4pkbxjnruyovkn4	320	25	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	320	26	1993	1993	CD
work_les4de22qzd4pkbxjnruyovkn4	320	27	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	320	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	321	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	321	2	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	321	3	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	321	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	321	5	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	321	6	Fig	Fig	NNP
work_les4de22qzd4pkbxjnruyovkn4	321	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	322	1	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	322	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	322	3	commonly	commonly	RB
work_les4de22qzd4pkbxjnruyovkn4	322	4	referred	refer	VBN
work_les4de22qzd4pkbxjnruyovkn4	322	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	322	6	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	322	7	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	322	8	pairwise	pairwise	VB
work_les4de22qzd4pkbxjnruyovkn4	322	9	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	322	10	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	322	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	322	12	literature	literature	NN
work_les4de22qzd4pkbxjnruyovkn4	322	13	relating	relate	VBG
work_les4de22qzd4pkbxjnruyovkn4	322	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	322	15	floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	322	16	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	322	17	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	322	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	323	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	323	2	average	average	JJ
work_les4de22qzd4pkbxjnruyovkn4	323	3	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	323	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	323	5	0.0007	0.0007	CD
work_les4de22qzd4pkbxjnruyovkn4	323	6	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	323	7	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	323	8	million	million	CD
work_les4de22qzd4pkbxjnruyovkn4	323	9	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	323	10	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	323	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	323	12	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	323	13	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	323	14	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	323	15	more	more	JJR
work_les4de22qzd4pkbxjnruyovkn4	323	16	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	323	17	acceptable	acceptable	JJ
work_les4de22qzd4pkbxjnruyovkn4	323	18	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	323	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	323	20	purposes	purpose	NNS
work_les4de22qzd4pkbxjnruyovkn4	323	21	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	323	22	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	323	23	boosting	boosting	NN
work_les4de22qzd4pkbxjnruyovkn4	323	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	324	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	324	2	results	result	NNS
work_les4de22qzd4pkbxjnruyovkn4	324	3	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	324	4	suggests	suggest	VBZ
work_les4de22qzd4pkbxjnruyovkn4	324	5	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	324	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	324	7	sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	324	8	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	324	9	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	324	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	324	11	original	original	JJ
work_les4de22qzd4pkbxjnruyovkn4	324	12	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	324	13	could	could	MD
work_les4de22qzd4pkbxjnruyovkn4	324	14	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	324	15	safely	safely	RB
work_les4de22qzd4pkbxjnruyovkn4	324	16	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	324	17	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	324	18	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	324	19	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	324	20	floats	float	NNS
work_les4de22qzd4pkbxjnruyovkn4	324	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	325	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	325	2	mean	mean	JJ
work_les4de22qzd4pkbxjnruyovkn4	325	3	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	325	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	325	5	0.0694	0.0694	CD
work_les4de22qzd4pkbxjnruyovkn4	325	6	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	325	7	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	325	8	million	million	CD
work_les4de22qzd4pkbxjnruyovkn4	325	9	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	325	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	325	11	very	very	RB
work_les4de22qzd4pkbxjnruyovkn4	325	12	unlikely	unlikely	JJ
work_les4de22qzd4pkbxjnruyovkn4	325	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	325	14	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	325	15	significant	significant	JJ
work_les4de22qzd4pkbxjnruyovkn4	325	16	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	325	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	325	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	325	19	noise	noise	NN
work_les4de22qzd4pkbxjnruyovkn4	325	20	typically	typically	RB
work_les4de22qzd4pkbxjnruyovkn4	325	21	present	present	JJ
work_les4de22qzd4pkbxjnruyovkn4	325	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	325	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	325	24	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	325	25	sets	set	NNS
work_les4de22qzd4pkbxjnruyovkn4	325	26	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	325	27	supervised	supervise	VBN
work_les4de22qzd4pkbxjnruyovkn4	325	28	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	325	29	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	325	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	326	1	Building	building	NN
work_les4de22qzd4pkbxjnruyovkn4	326	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	326	3	classifiers	classifier	NNS
work_les4de22qzd4pkbxjnruyovkn4	326	4	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	326	5	GPUs	GPUs	NNPS
work_les4de22qzd4pkbxjnruyovkn4	326	6	Graphics	Graphics	NNP
work_les4de22qzd4pkbxjnruyovkn4	326	7	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	326	8	unit	unit	NN
work_les4de22qzd4pkbxjnruyovkn4	326	9	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	326	10	accelerated	accelerate	VBN
work_les4de22qzd4pkbxjnruyovkn4	326	11	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	326	12	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	326	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	326	14	forests	forest	NNS
work_les4de22qzd4pkbxjnruyovkn4	326	15	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	326	16	been	be	VBN
work_les4de22qzd4pkbxjnruyovkn4	326	17	studied	study	VBN
work_les4de22qzd4pkbxjnruyovkn4	326	18	as	as	RB
work_les4de22qzd4pkbxjnruyovkn4	326	19	early	early	RB
work_les4de22qzd4pkbxjnruyovkn4	326	20	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	326	21	2008	2008	CD
work_les4de22qzd4pkbxjnruyovkn4	326	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	326	23	Sharp	Sharp	NNP
work_les4de22qzd4pkbxjnruyovkn4	326	24	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	326	25	2008	2008	CD
work_les4de22qzd4pkbxjnruyovkn4	326	26	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	326	27	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	326	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	326	29	purpose	purpose	NN
work_les4de22qzd4pkbxjnruyovkn4	326	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	326	31	object	object	NN
work_les4de22qzd4pkbxjnruyovkn4	326	32	recognition	recognition	NN
work_les4de22qzd4pkbxjnruyovkn4	326	33	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	326	34	achieving	achieve	VBG
work_les4de22qzd4pkbxjnruyovkn4	326	35	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	326	36	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	326	37	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	326	38	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	326	39	100	100	CD
work_les4de22qzd4pkbxjnruyovkn4	326	40	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	326	41	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	326	42	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	326	43	task	task	NN
work_les4de22qzd4pkbxjnruyovkn4	326	44	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	327	1	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	327	2	forests	forest	NNS
work_les4de22qzd4pkbxjnruyovkn4	327	3	were	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	327	4	mapped	map	VBN
work_les4de22qzd4pkbxjnruyovkn4	327	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	327	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	327	7	2-D	2-d	CD
work_les4de22qzd4pkbxjnruyovkn4	327	8	texture	texture	NN
work_les4de22qzd4pkbxjnruyovkn4	327	9	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	327	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	327	11	trained	train	VBD
work_les4de22qzd4pkbxjnruyovkn4	327	12	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	327	13	evaluated	evaluate	VBN
work_les4de22qzd4pkbxjnruyovkn4	327	14	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	327	15	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	327	16	pixel	pixel	NN
work_les4de22qzd4pkbxjnruyovkn4	327	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	327	18	vertex	vertex	NNP
work_les4de22qzd4pkbxjnruyovkn4	327	19	shaders	shader	NNS
work_les4de22qzd4pkbxjnruyovkn4	327	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	328	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	328	2	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	328	3	general	general	JJ
work_les4de22qzd4pkbxjnruyovkn4	328	4	purpose	purpose	NN
work_les4de22qzd4pkbxjnruyovkn4	328	5	random	random	JJ
work_les4de22qzd4pkbxjnruyovkn4	328	6	forest	forest	NN
work_les4de22qzd4pkbxjnruyovkn4	328	7	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	328	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	328	9	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	328	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	328	11	Grahn	Grahn	NNP
work_les4de22qzd4pkbxjnruyovkn4	328	12	et	et	NNP
work_les4de22qzd4pkbxjnruyovkn4	328	13	al	al	NNP
work_les4de22qzd4pkbxjnruyovkn4	328	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	329	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	329	2	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	329	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	329	4	showing	show	VBG
work_les4de22qzd4pkbxjnruyovkn4	329	5	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	329	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	329	7	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	329	8	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	329	9	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	329	10	GFLOPs	gflop	NNS
work_les4de22qzd4pkbxjnruyovkn4	329	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	330	1	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	330	2	Single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	330	3	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	330	4	Double	double	JJ
work_les4de22qzd4pkbxjnruyovkn4	330	5	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	330	6	GTX	gtx	NN
work_les4de22qzd4pkbxjnruyovkn4	330	7	970	970	CD
work_les4de22qzd4pkbxjnruyovkn4	330	8	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	330	9	Maxwell	Maxwell	NNP
work_les4de22qzd4pkbxjnruyovkn4	330	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	330	11	3,494	3,494	CD
work_les4de22qzd4pkbxjnruyovkn4	330	12	109	109	CD
work_les4de22qzd4pkbxjnruyovkn4	330	13	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	330	14	X	X	NNS
work_les4de22qzd4pkbxjnruyovkn4	330	15	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	330	16	Pascal	Pascal	NNP
work_les4de22qzd4pkbxjnruyovkn4	330	17	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	330	18	10,157	10,157	CD
work_les4de22qzd4pkbxjnruyovkn4	330	19	317	317	CD
work_les4de22qzd4pkbxjnruyovkn4	330	20	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	330	21	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	330	22	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	330	23	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	330	24	floating	floating	JJ
work_les4de22qzd4pkbxjnruyovkn4	330	25	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	330	26	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	330	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	331	1	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	331	2	Mean	Mean	NNP
work_les4de22qzd4pkbxjnruyovkn4	331	3	error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	331	4	SD	sd	NN
work_les4de22qzd4pkbxjnruyovkn4	331	5	Sequential	sequential	JJ
work_les4de22qzd4pkbxjnruyovkn4	331	6	0.0694	0.0694	CD
work_les4de22qzd4pkbxjnruyovkn4	331	7	0.0520	0.0520	CD
work_les4de22qzd4pkbxjnruyovkn4	331	8	Parallel	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	331	9	0.0007	0.0007	CD
work_les4de22qzd4pkbxjnruyovkn4	331	10	0.0005	0.0005	CD
work_les4de22qzd4pkbxjnruyovkn4	331	11	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	331	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	331	13	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	331	14	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	331	15	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	331	16	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	331	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	331	18	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	331	19	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	331	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	332	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	332	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	332	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	332	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	332	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	332	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	332	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	332	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	332	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	332	10	20/37	20/37	CD
work_les4de22qzd4pkbxjnruyovkn4	332	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	332	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	332	13	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	332	14	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	332	15	30	30	CD
work_les4de22qzd4pkbxjnruyovkn4	332	16	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	332	17	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	332	18	state	state	NN
work_les4de22qzd4pkbxjnruyovkn4	332	19	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	332	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	332	21	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	332	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	332	23	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	332	24	art	art	NN
work_les4de22qzd4pkbxjnruyovkn4	332	25	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	332	26	implementations	implementation	NNS
work_les4de22qzd4pkbxjnruyovkn4	332	27	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	332	28	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	332	29	numbers	number	NNS
work_les4de22qzd4pkbxjnruyovkn4	332	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	332	31	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	332	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	333	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	333	2	authors	author	NNS
work_les4de22qzd4pkbxjnruyovkn4	333	3	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	333	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	333	5	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	333	6	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	333	7	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	333	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	333	9	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	333	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	333	11	launched	launch	VBN
work_les4de22qzd4pkbxjnruyovkn4	333	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	333	13	construct	construct	VB
work_les4de22qzd4pkbxjnruyovkn4	333	14	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	333	15	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	333	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	333	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	333	18	ensemble	ensemble	NN
work_les4de22qzd4pkbxjnruyovkn4	333	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	334	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	334	2	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	334	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	334	4	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	334	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	334	6	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	334	7	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	334	8	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	334	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	334	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	334	11	SPRINT	sprint	JJ
work_les4de22qzd4pkbxjnruyovkn4	334	12	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	334	13	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	334	14	inducer	inducer	NN
work_les4de22qzd4pkbxjnruyovkn4	334	15	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	334	16	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	334	17	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	334	18	Chiu	Chiu	NNP
work_les4de22qzd4pkbxjnruyovkn4	334	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	334	20	Luo	Luo	NNP
work_les4de22qzd4pkbxjnruyovkn4	334	21	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	334	22	Yuan	Yuan	NNP
work_les4de22qzd4pkbxjnruyovkn4	334	23	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	334	24	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	334	25	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	334	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	335	1	No	no	DT
work_les4de22qzd4pkbxjnruyovkn4	335	2	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	335	3	results	result	NNS
work_les4de22qzd4pkbxjnruyovkn4	335	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	335	5	reported	report	VBN
work_les4de22qzd4pkbxjnruyovkn4	335	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	336	1	Another	another	DT
work_les4de22qzd4pkbxjnruyovkn4	336	2	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	336	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	336	4	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	336	5	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	336	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	336	7	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	336	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	336	9	Lo	Lo	NNP
work_les4de22qzd4pkbxjnruyovkn4	336	10	et	et	FW
work_les4de22qzd4pkbxjnruyovkn4	336	11	al	al	NNP
work_les4de22qzd4pkbxjnruyovkn4	336	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	337	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	337	2	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	337	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	337	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	338	1	They	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	338	2	report	report	VBP
work_les4de22qzd4pkbxjnruyovkn4	338	3	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	338	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	338	5	5–55	5–55	NN
work_les4de22qzd4pkbxjnruyovkn4	338	6	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	7	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	338	8	WEKA	WEKA	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	9	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	338	10	Java	Java	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	11	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	338	12	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	338	13	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	338	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	338	15	C4.5	C4.5	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	16	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	338	17	Quinlan	Quinlan	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	18	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	338	19	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	338	20	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	338	21	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	338	22	called	call	VBN
work_les4de22qzd4pkbxjnruyovkn4	338	23	J48	J48	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	338	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	338	26	18	18	CD
work_les4de22qzd4pkbxjnruyovkn4	338	27	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	338	28	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	338	29	SPRINT	SPRINT	NNP
work_les4de22qzd4pkbxjnruyovkn4	338	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	339	1	Their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	339	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	339	3	processes	process	VBZ
work_les4de22qzd4pkbxjnruyovkn4	339	4	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	339	5	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	339	6	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	339	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	339	8	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	339	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	339	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	339	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	339	12	result	result	NN
work_les4de22qzd4pkbxjnruyovkn4	339	13	scales	scale	VBZ
work_les4de22qzd4pkbxjnruyovkn4	339	14	poorly	poorly	RB
work_les4de22qzd4pkbxjnruyovkn4	339	15	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	339	16	higher	high	JJR
work_les4de22qzd4pkbxjnruyovkn4	339	17	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	339	18	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	339	19	due	due	JJ
work_les4de22qzd4pkbxjnruyovkn4	339	20	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	339	21	higher	high	JJR
work_les4de22qzd4pkbxjnruyovkn4	339	22	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	339	23	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	339	24	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	339	25	overhead	overhead	NN
work_les4de22qzd4pkbxjnruyovkn4	339	26	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	339	27	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	339	28	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	339	29	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	339	30	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	339	31	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	339	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	340	1	Nasridinov	Nasridinov	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	340	3	Lee	Lee	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	4	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	340	5	Park	Park	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	6	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	340	7	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	340	8	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	340	9	describe	describe	VB
work_les4de22qzd4pkbxjnruyovkn4	340	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	340	11	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	12	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	340	13	accelerated	accelerate	VBN
work_les4de22qzd4pkbxjnruyovkn4	340	14	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	340	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	340	16	ID3	ID3	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	17	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	340	18	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	340	19	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	340	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	340	21	showing	show	VBG
work_les4de22qzd4pkbxjnruyovkn4	340	22	moderate	moderate	JJ
work_les4de22qzd4pkbxjnruyovkn4	340	23	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	340	24	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	340	25	WEKA	WEKA	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	26	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	340	27	ID3	ID3	NNP
work_les4de22qzd4pkbxjnruyovkn4	340	28	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	340	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	341	1	Nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	341	2	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	341	3	processed	process	VBN
work_les4de22qzd4pkbxjnruyovkn4	341	4	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	341	5	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	341	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	341	7	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	341	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	341	9	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	341	10	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	341	11	resorted	resort	VBN
work_les4de22qzd4pkbxjnruyovkn4	341	12	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	341	13	every	every	DT
work_les4de22qzd4pkbxjnruyovkn4	341	14	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	341	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	342	1	Strnad	Strnad	NNP
work_les4de22qzd4pkbxjnruyovkn4	342	2	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	342	3	Nerat	Nerat	NNP
work_les4de22qzd4pkbxjnruyovkn4	342	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	342	5	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	342	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	342	7	devise	devise	VB
work_les4de22qzd4pkbxjnruyovkn4	342	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	342	9	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	342	10	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	342	11	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	342	12	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	342	13	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	342	14	stores	store	VBZ
work_les4de22qzd4pkbxjnruyovkn4	342	15	batches	batch	NNS
work_les4de22qzd4pkbxjnruyovkn4	342	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	342	17	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	342	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	342	19	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	342	20	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	342	21	queue	queue	NN
work_les4de22qzd4pkbxjnruyovkn4	342	22	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	342	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	342	24	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	342	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	342	26	processes	process	VBZ
work_les4de22qzd4pkbxjnruyovkn4	342	27	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	342	28	units	unit	NNS
work_les4de22qzd4pkbxjnruyovkn4	342	29	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	342	30	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	342	31	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	342	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	342	33	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	342	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	343	1	They	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	343	2	achieve	achieve	VBP
work_les4de22qzd4pkbxjnruyovkn4	343	3	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	343	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	343	5	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	343	6	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	343	7	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	343	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	343	9	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	343	10	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	343	11	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	343	12	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	343	13	data	data	NN
work_les4de22qzd4pkbxjnruyovkn4	343	14	sets	set	NNS
work_les4de22qzd4pkbxjnruyovkn4	343	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	343	16	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	343	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	343	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	343	19	multithreaded	multithreade	VBN
work_les4de22qzd4pkbxjnruyovkn4	343	20	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	343	21	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	343	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	344	1	Instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	344	2	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	344	3	resorted	resort	VBN
work_les4de22qzd4pkbxjnruyovkn4	344	4	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	344	5	every	every	DT
work_les4de22qzd4pkbxjnruyovkn4	344	6	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	344	7	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	344	8	Strnad	Strnad	NNP
work_les4de22qzd4pkbxjnruyovkn4	344	9	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	344	10	Nerat	Nerat	NNP
work_les4de22qzd4pkbxjnruyovkn4	344	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	344	12	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	344	13	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	344	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	345	1	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	345	2	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	345	3	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	345	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	345	5	combination	combination	NN
work_les4de22qzd4pkbxjnruyovkn4	345	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	345	7	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	345	8	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	345	9	differentiating	differentiate	VBG
work_les4de22qzd4pkbxjnruyovkn4	345	10	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	345	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	345	12	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	345	13	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	345	14	approaches	approach	NNS
work_les4de22qzd4pkbxjnruyovkn4	345	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	346	1	First	first	RB
work_les4de22qzd4pkbxjnruyovkn4	346	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	346	3	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	346	4	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	346	5	processes	process	VBZ
work_les4de22qzd4pkbxjnruyovkn4	346	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	346	7	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	346	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	346	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	346	10	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	346	11	concurrently	concurrently	RB
work_les4de22qzd4pkbxjnruyovkn4	346	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	346	13	allowing	allow	VBG
work_les4de22qzd4pkbxjnruyovkn4	346	14	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	346	15	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	346	16	scale	scale	VB
work_les4de22qzd4pkbxjnruyovkn4	346	17	beyond	beyond	IN
work_les4de22qzd4pkbxjnruyovkn4	346	18	trivial	trivial	JJ
work_les4de22qzd4pkbxjnruyovkn4	346	19	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	346	20	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	346	21	near	near	IN
work_les4de22qzd4pkbxjnruyovkn4	346	22	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	346	23	run	run	NN
work_les4de22qzd4pkbxjnruyovkn4	346	24	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	346	25	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	346	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	347	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	347	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	347	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	347	4	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	347	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	347	6	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	347	7	processes	process	VBZ
work_les4de22qzd4pkbxjnruyovkn4	347	8	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	347	9	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	347	10	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	347	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	347	12	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	347	13	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	347	14	incur	incur	VB
work_les4de22qzd4pkbxjnruyovkn4	347	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	347	16	nontrivial	nontrivial	JJ
work_les4de22qzd4pkbxjnruyovkn4	347	17	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	347	18	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	347	19	launch	launch	NN
work_les4de22qzd4pkbxjnruyovkn4	347	20	overhead	overhead	NN
work_les4de22qzd4pkbxjnruyovkn4	347	21	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	347	22	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	347	23	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	347	24	processed	process	VBN
work_les4de22qzd4pkbxjnruyovkn4	347	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	348	1	Additionally	additionally	RB
work_les4de22qzd4pkbxjnruyovkn4	348	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	348	3	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	348	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	348	5	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	348	6	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	348	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	348	8	recursively	recursively	RB
work_les4de22qzd4pkbxjnruyovkn4	348	9	partitioned	partition	VBN
work_les4de22qzd4pkbxjnruyovkn4	348	10	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	348	11	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	348	12	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	348	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	348	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	348	15	average	average	JJ
work_les4de22qzd4pkbxjnruyovkn4	348	16	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	348	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	348	18	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	348	19	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	348	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	348	21	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	348	22	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	348	23	decreases	decrease	VBZ
work_les4de22qzd4pkbxjnruyovkn4	348	24	rapidly	rapidly	RB
work_les4de22qzd4pkbxjnruyovkn4	348	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	349	1	Processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	349	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	349	3	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	349	4	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	349	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	349	6	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	349	7	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	349	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	349	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	349	10	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	349	11	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	349	12	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	349	13	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	349	14	severely	severely	RB
work_les4de22qzd4pkbxjnruyovkn4	349	15	underutilise	underutilise	VB
work_les4de22qzd4pkbxjnruyovkn4	349	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	349	17	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	349	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	350	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	350	2	means	mean	VBZ
work_les4de22qzd4pkbxjnruyovkn4	350	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	350	4	run	run	NN
work_les4de22qzd4pkbxjnruyovkn4	350	5	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	350	6	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	350	7	increases	increase	NNS
work_les4de22qzd4pkbxjnruyovkn4	350	8	dramatically	dramatically	RB
work_les4de22qzd4pkbxjnruyovkn4	350	9	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	350	10	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	350	11	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	350	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	351	1	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	351	2	achieve	achieve	VB
work_les4de22qzd4pkbxjnruyovkn4	351	3	state	state	NN
work_les4de22qzd4pkbxjnruyovkn4	351	4	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	351	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	351	6	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	351	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	351	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	351	9	art	art	NN
work_les4de22qzd4pkbxjnruyovkn4	351	10	results	result	NNS
work_les4de22qzd4pkbxjnruyovkn4	351	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	351	12	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	351	13	mining	mining	NN
work_les4de22qzd4pkbxjnruyovkn4	351	14	competitions	competition	NNS
work_les4de22qzd4pkbxjnruyovkn4	351	15	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	351	16	found	find	VBD
work_les4de22qzd4pkbxjnruyovkn4	351	17	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	351	18	users	user	NNS
work_les4de22qzd4pkbxjnruyovkn4	351	19	very	very	RB
work_les4de22qzd4pkbxjnruyovkn4	351	20	commonly	commonly	RB
work_les4de22qzd4pkbxjnruyovkn4	351	21	required	require	VBN
work_les4de22qzd4pkbxjnruyovkn4	351	22	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	351	23	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	351	24	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	351	25	greater	great	JJR
work_les4de22qzd4pkbxjnruyovkn4	351	26	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	351	27	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	351	28	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	351	29	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	351	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	352	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	352	2	contradicts	contradict	VBZ
work_les4de22qzd4pkbxjnruyovkn4	352	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	352	4	conventional	conventional	JJ
work_les4de22qzd4pkbxjnruyovkn4	352	5	wisdom	wisdom	NN
work_les4de22qzd4pkbxjnruyovkn4	352	6	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	352	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	352	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	352	9	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	352	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	352	11	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	352	12	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	352	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	352	14	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	352	15	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	352	16	sufficient	sufficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	352	17	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	352	18	most	most	JJS
work_les4de22qzd4pkbxjnruyovkn4	352	19	boosting	boosting	JJ
work_les4de22qzd4pkbxjnruyovkn4	352	20	applications	application	NNS
work_les4de22qzd4pkbxjnruyovkn4	352	21	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	352	22	Friedman	Friedman	NNP
work_les4de22qzd4pkbxjnruyovkn4	352	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	352	24	Hastie	Hastie	NNP
work_les4de22qzd4pkbxjnruyovkn4	352	25	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	352	26	Tibshirani	Tibshirani	NNP
work_les4de22qzd4pkbxjnruyovkn4	352	27	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	352	28	2001	2001	CD
work_les4de22qzd4pkbxjnruyovkn4	352	29	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	352	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	353	1	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	353	2	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	353	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	353	4	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	353	5	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	353	6	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	353	7	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	353	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	353	9	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	353	10	concurrently	concurrently	RB
work_les4de22qzd4pkbxjnruyovkn4	353	11	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	353	12	far	far	RB
work_les4de22qzd4pkbxjnruyovkn4	353	13	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	353	14	practical	practical	JJ
work_les4de22qzd4pkbxjnruyovkn4	353	15	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	353	16	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	353	17	setting	setting	NN
work_les4de22qzd4pkbxjnruyovkn4	353	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	354	1	Secondly	secondly	RB
work_les4de22qzd4pkbxjnruyovkn4	354	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	354	3	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	354	4	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	354	5	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	354	6	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	354	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	354	8	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	354	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	354	10	hybrid	hybrid	JJ
work_les4de22qzd4pkbxjnruyovkn4	354	11	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	354	12	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	354	13	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	354	14	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	354	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	354	16	so	so	RB
work_les4de22qzd4pkbxjnruyovkn4	354	17	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	354	18	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	354	19	use	use	VB
work_les4de22qzd4pkbxjnruyovkn4	354	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	354	21	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	354	22	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	354	23	computation	computation	NN
work_les4de22qzd4pkbxjnruyovkn4	354	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	355	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	355	2	find	find	VBP
work_les4de22qzd4pkbxjnruyovkn4	355	3	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	355	4	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	355	5	stages	stage	NNS
work_les4de22qzd4pkbxjnruyovkn4	355	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	355	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	355	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	355	9	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	355	10	algorithm	algorithm	RB
work_les4de22qzd4pkbxjnruyovkn4	355	11	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	355	12	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	355	13	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	355	14	completed	complete	VBN
work_les4de22qzd4pkbxjnruyovkn4	355	15	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	355	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	355	17	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	355	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	356	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	356	2	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	356	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	356	4	conscious	conscious	JJ
work_les4de22qzd4pkbxjnruyovkn4	356	5	design	design	NN
work_les4de22qzd4pkbxjnruyovkn4	356	6	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	356	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	356	8	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	356	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	356	10	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	356	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	356	12	bottleneck	bottleneck	NN
work_les4de22qzd4pkbxjnruyovkn4	356	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	356	14	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	356	15	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	356	16	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	356	17	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	356	18	transfers	transfer	NNS
work_les4de22qzd4pkbxjnruyovkn4	356	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	357	1	At	at	IN
work_les4de22qzd4pkbxjnruyovkn4	357	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	357	3	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	357	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	357	5	writing	writing	NN
work_les4de22qzd4pkbxjnruyovkn4	357	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	357	7	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	357	8	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	357	9	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	357	10	transfers	transfer	NNS
work_les4de22qzd4pkbxjnruyovkn4	357	11	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	357	12	limited	limit	VBN
work_les4de22qzd4pkbxjnruyovkn4	357	13	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	357	14	approximately	approximately	RB
work_les4de22qzd4pkbxjnruyovkn4	357	15	16	16	CD
work_les4de22qzd4pkbxjnruyovkn4	357	16	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	357	17	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	357	18	s	s	NN
work_les4de22qzd4pkbxjnruyovkn4	357	19	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	357	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	357	21	bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	357	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	357	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	357	24	Gen	Gen	NNP
work_les4de22qzd4pkbxjnruyovkn4	357	25	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	357	26	PCIe	PCIe	NNPS
work_les4de22qzd4pkbxjnruyovkn4	357	27	standard	standard	NN
work_les4de22qzd4pkbxjnruyovkn4	357	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	358	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	358	2	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	358	3	X	X	NNS
work_les4de22qzd4pkbxjnruyovkn4	358	4	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	358	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	358	6	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	358	7	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	358	8	benchmarking	benchmarking	NN
work_les4de22qzd4pkbxjnruyovkn4	358	9	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	358	10	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	358	11	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	358	12	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	358	13	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	358	14	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	358	15	bandwidth	bandwidth	NN
work_les4de22qzd4pkbxjnruyovkn4	358	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	358	17	480	480	CD
work_les4de22qzd4pkbxjnruyovkn4	358	18	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	358	19	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	358	20	s	s	NNP
work_les4de22qzd4pkbxjnruyovkn4	358	21	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	358	22	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	358	23	factor	factor	NN
work_les4de22qzd4pkbxjnruyovkn4	358	24	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	358	25	30	30	CD
work_les4de22qzd4pkbxjnruyovkn4	358	26	times	time	NNS
work_les4de22qzd4pkbxjnruyovkn4	358	27	greater	great	JJR
work_les4de22qzd4pkbxjnruyovkn4	358	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	359	1	Consequently	consequently	RB
work_les4de22qzd4pkbxjnruyovkn4	359	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	359	3	applications	application	NNS
work_les4de22qzd4pkbxjnruyovkn4	359	4	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	359	5	move	move	VBP
work_les4de22qzd4pkbxjnruyovkn4	359	6	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	359	7	back	back	RB
work_les4de22qzd4pkbxjnruyovkn4	359	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	359	9	forward	forward	RB
work_les4de22qzd4pkbxjnruyovkn4	359	10	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	359	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	359	12	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	359	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	359	14	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	359	15	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	359	16	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	359	17	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	359	18	able	able	JJ
work_les4de22qzd4pkbxjnruyovkn4	359	19	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	359	20	achieve	achieve	VB
work_les4de22qzd4pkbxjnruyovkn4	359	21	peak	peak	NN
work_les4de22qzd4pkbxjnruyovkn4	359	22	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	359	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	360	1	Building	build	VBG
work_les4de22qzd4pkbxjnruyovkn4	360	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	360	3	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	360	4	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	360	5	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	360	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	360	7	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	360	8	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	360	9	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	360	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	360	11	disadvantage	disadvantage	NN
work_les4de22qzd4pkbxjnruyovkn4	360	12	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	360	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	360	14	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	360	15	often	often	RB
work_les4de22qzd4pkbxjnruyovkn4	360	16	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	360	17	significantly	significantly	RB
work_les4de22qzd4pkbxjnruyovkn4	360	18	lower	low	JJR
work_les4de22qzd4pkbxjnruyovkn4	360	19	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	360	20	capacity	capacity	NN
work_les4de22qzd4pkbxjnruyovkn4	360	21	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	360	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	360	23	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	360	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	361	1	Despite	despite	IN
work_les4de22qzd4pkbxjnruyovkn4	361	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	361	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	361	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	361	5	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	361	6	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	361	7	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	361	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	361	9	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	361	10	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	361	11	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	361	12	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	361	13	very	very	RB
work_les4de22qzd4pkbxjnruyovkn4	361	14	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	361	15	benchmark	benchmark	JJ
work_les4de22qzd4pkbxjnruyovkn4	361	16	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	361	17	entirely	entirely	RB
work_les4de22qzd4pkbxjnruyovkn4	361	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	361	19	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	361	20	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	361	21	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	361	22	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	361	23	commodity	commodity	NN
work_les4de22qzd4pkbxjnruyovkn4	361	24	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	361	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	362	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	362	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	362	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	362	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	362	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	362	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	362	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	362	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	362	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	362	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	363	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	363	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	363	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	363	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	363	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	10	21/37	21/37	CD
work_les4de22qzd4pkbxjnruyovkn4	363	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	363	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	13	Thirdly	thirdly	RB
work_les4de22qzd4pkbxjnruyovkn4	363	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	363	15	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	363	16	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	363	17	implements	implement	VBZ
work_les4de22qzd4pkbxjnruyovkn4	363	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	363	19	sparsity	sparsity	NN
work_les4de22qzd4pkbxjnruyovkn4	363	20	aware	aware	JJ
work_les4de22qzd4pkbxjnruyovkn4	363	21	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	363	22	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	363	23	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	363	24	introduced	introduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	363	25	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	363	26	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	363	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	364	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	364	2	allows	allow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	364	3	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	364	4	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	364	5	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	364	6	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	364	7	sparse	sparse	JJR
work_les4de22qzd4pkbxjnruyovkn4	364	8	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	364	9	matrices	matrix	NNS
work_les4de22qzd4pkbxjnruyovkn4	364	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	364	11	terms	term	NNS
work_les4de22qzd4pkbxjnruyovkn4	364	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	364	13	run	run	NN
work_les4de22qzd4pkbxjnruyovkn4	364	14	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	364	15	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	364	16	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	364	17	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	364	18	usage	usage	NN
work_les4de22qzd4pkbxjnruyovkn4	364	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	365	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	365	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	365	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	365	4	contrast	contrast	NN
work_les4de22qzd4pkbxjnruyovkn4	365	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	365	6	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	365	7	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	365	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	365	9	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	365	10	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	365	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	366	1	Additionally	additionally	RB
work_les4de22qzd4pkbxjnruyovkn4	366	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	366	3	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	366	4	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	366	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	366	6	provided	provide	VBN
work_les4de22qzd4pkbxjnruyovkn4	366	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	366	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	366	9	part	part	NN
work_les4de22qzd4pkbxjnruyovkn4	366	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	366	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	366	12	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	366	13	featured	feature	VBN
work_les4de22qzd4pkbxjnruyovkn4	366	14	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	366	15	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	366	16	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	366	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	367	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	367	2	implements	implement	VBZ
work_les4de22qzd4pkbxjnruyovkn4	367	3	regression	regression	NN
work_les4de22qzd4pkbxjnruyovkn4	367	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	367	5	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	367	6	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	367	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	367	8	multiclass	multiclass	VB
work_les4de22qzd4pkbxjnruyovkn4	367	9	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	367	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	367	11	ranking	rank	VBG
work_les4de22qzd4pkbxjnruyovkn4	367	12	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	367	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	367	14	generalised	generalise	VBN
work_les4de22qzd4pkbxjnruyovkn4	367	15	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	367	16	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	367	17	framework	framework	NN
work_les4de22qzd4pkbxjnruyovkn4	367	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	367	19	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	367	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	367	21	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	367	22	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	367	23	active	active	JJ
work_les4de22qzd4pkbxjnruyovkn4	367	24	user	user	NN
work_les4de22qzd4pkbxjnruyovkn4	367	25	base	base	NN
work_les4de22qzd4pkbxjnruyovkn4	367	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	368	1	No	no	DT
work_les4de22qzd4pkbxjnruyovkn4	368	2	published	publish	VBN
work_les4de22qzd4pkbxjnruyovkn4	368	3	implementations	implementation	NNS
work_les4de22qzd4pkbxjnruyovkn4	368	4	exist	exist	VBP
work_les4de22qzd4pkbxjnruyovkn4	368	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	368	6	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	368	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	368	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	368	9	existing	exist	VBG
work_les4de22qzd4pkbxjnruyovkn4	368	10	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	368	11	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	368	12	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	368	13	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	368	14	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	368	15	above	above	RB
work_les4de22qzd4pkbxjnruyovkn4	368	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	368	17	making	make	VBG
work_les4de22qzd4pkbxjnruyovkn4	368	18	direct	direct	JJ
work_les4de22qzd4pkbxjnruyovkn4	368	19	comparison	comparison	NN
work_les4de22qzd4pkbxjnruyovkn4	368	20	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	368	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	368	22	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	368	23	presented	present	VBN
work_les4de22qzd4pkbxjnruyovkn4	368	24	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	368	25	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	368	26	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	368	27	infeasible	infeasible	JJ
work_les4de22qzd4pkbxjnruyovkn4	368	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	369	1	PARALLEL	parallel	NN
work_les4de22qzd4pkbxjnruyovkn4	369	2	TREE	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	369	3	CONSTRUCTION	construction	VBP
work_les4de22qzd4pkbxjnruyovkn4	369	4	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	369	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	369	6	builds	build	VBZ
work_les4de22qzd4pkbxjnruyovkn4	369	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	369	8	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	369	9	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	369	10	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	369	11	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	369	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	369	13	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	369	14	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	369	15	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	369	16	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	369	17	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	369	18	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	369	19	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	369	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	369	21	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	369	22	level	level	JJ
work_les4de22qzd4pkbxjnruyovkn4	369	23	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	369	24	wise	wise	JJ
work_les4de22qzd4pkbxjnruyovkn4	369	25	manner	manner	NN
work_les4de22qzd4pkbxjnruyovkn4	369	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	370	1	At	at	IN
work_les4de22qzd4pkbxjnruyovkn4	370	2	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	370	3	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	370	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	370	5	search	search	VBP
work_les4de22qzd4pkbxjnruyovkn4	370	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	370	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	370	8	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	370	9	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	370	10	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	370	11	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	370	12	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	370	13	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	370	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	370	15	update	update	VB
work_les4de22qzd4pkbxjnruyovkn4	370	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	370	17	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	370	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	370	19	training	train	VBG
work_les4de22qzd4pkbxjnruyovkn4	370	20	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	370	21	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	370	22	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	370	23	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	370	24	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	370	25	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	370	26	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	370	27	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	370	28	repartition	repartition	NN
work_les4de22qzd4pkbxjnruyovkn4	370	29	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	370	30	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	370	31	necessary	necessary	JJ
work_les4de22qzd4pkbxjnruyovkn4	370	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	371	1	Processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	371	2	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	371	3	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	371	4	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	371	5	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	371	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	371	7	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	371	8	allows	allow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	371	9	us	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	371	10	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	371	11	saturate	saturate	VB
work_les4de22qzd4pkbxjnruyovkn4	371	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	371	13	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	371	14	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	371	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	371	16	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	371	17	amount	amount	NN
work_les4de22qzd4pkbxjnruyovkn4	371	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	371	19	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	371	20	available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	371	21	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	371	22	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	371	23	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	371	24	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	371	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	372	1	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	372	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	372	3	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	372	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	372	5	following	follow	VBG
work_les4de22qzd4pkbxjnruyovkn4	372	6	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	372	7	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	372	8	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	372	9	phases	phase	NNS
work_les4de22qzd4pkbxjnruyovkn4	372	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	372	11	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	372	12	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	372	13	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	372	14	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	372	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	372	16	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	372	17	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	372	18	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	372	19	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	372	20	reached	reach	VBN
work_les4de22qzd4pkbxjnruyovkn4	372	21	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	372	22	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	372	23	1	1	LS
work_les4de22qzd4pkbxjnruyovkn4	372	24	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	372	25	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	372	26	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	372	27	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	372	28	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	372	29	2	2	LS
work_les4de22qzd4pkbxjnruyovkn4	372	30	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	372	31	update	update	VB
work_les4de22qzd4pkbxjnruyovkn4	372	32	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	372	33	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	372	34	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	372	35	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	372	36	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	372	37	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	372	38	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	372	39	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	372	40	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	372	41	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	372	42	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	372	43	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	372	44	necessary	necessary	JJ
work_les4de22qzd4pkbxjnruyovkn4	372	45	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	372	46	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	373	1	Phase	phase	NN
work_les4de22qzd4pkbxjnruyovkn4	373	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	373	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	373	4	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	373	5	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	373	6	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	373	7	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	373	8	phase	phase	NN
work_les4de22qzd4pkbxjnruyovkn4	373	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	373	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	373	11	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	373	12	finds	find	VBZ
work_les4de22qzd4pkbxjnruyovkn4	373	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	373	14	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	373	15	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	373	16	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	373	17	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	373	18	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	373	19	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	373	20	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	373	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	373	22	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	373	23	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	373	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	374	1	Data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	374	2	layout	layout	NN
work_les4de22qzd4pkbxjnruyovkn4	374	3	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	374	4	facilitate	facilitate	VB
work_les4de22qzd4pkbxjnruyovkn4	374	5	enumeration	enumeration	NN
work_les4de22qzd4pkbxjnruyovkn4	374	6	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	374	7	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	374	8	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	374	9	points	point	NNS
work_les4de22qzd4pkbxjnruyovkn4	374	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	374	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	374	12	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	374	13	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	374	14	should	should	MD
work_les4de22qzd4pkbxjnruyovkn4	374	15	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	374	16	kept	keep	VBN
work_les4de22qzd4pkbxjnruyovkn4	374	17	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	374	18	sorted	sorted	JJ
work_les4de22qzd4pkbxjnruyovkn4	374	19	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	374	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	375	1	Hence	hence	RB
work_les4de22qzd4pkbxjnruyovkn4	375	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	375	3	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	375	4	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	375	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	375	6	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	375	7	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	375	8	layout	layout	NN
work_les4de22qzd4pkbxjnruyovkn4	375	9	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	375	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	375	11	Tables	Tables	NNP
work_les4de22qzd4pkbxjnruyovkn4	375	12	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	375	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	375	14	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	375	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	376	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	376	2	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	376	3	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	376	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	376	5	paired	pair	VBN
work_les4de22qzd4pkbxjnruyovkn4	376	6	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	376	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	376	8	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	376	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	376	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	376	11	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	376	12	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	376	13	belongs	belong	VBZ
work_les4de22qzd4pkbxjnruyovkn4	376	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	376	15	as	as	RB
work_les4de22qzd4pkbxjnruyovkn4	376	16	well	well	RB
work_les4de22qzd4pkbxjnruyovkn4	376	17	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	376	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	376	19	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	376	20	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	376	21	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	376	22	currently	currently	RB
work_les4de22qzd4pkbxjnruyovkn4	376	23	resides	reside	VBZ
work_les4de22qzd4pkbxjnruyovkn4	376	24	in	in	RB
work_les4de22qzd4pkbxjnruyovkn4	376	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	377	1	Data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	377	2	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	377	3	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	377	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	377	5	sparse	sparse	JJ
work_les4de22qzd4pkbxjnruyovkn4	377	6	column	column	NN
work_les4de22qzd4pkbxjnruyovkn4	377	7	major	major	JJ
work_les4de22qzd4pkbxjnruyovkn4	377	8	format	format	NN
work_les4de22qzd4pkbxjnruyovkn4	377	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	377	10	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	377	11	IDs	id	NNS
work_les4de22qzd4pkbxjnruyovkn4	377	12	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	377	13	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	377	14	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	377	15	map	map	VB
work_les4de22qzd4pkbxjnruyovkn4	377	16	back	back	RB
work_les4de22qzd4pkbxjnruyovkn4	377	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	377	18	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	377	19	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	377	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	377	21	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	377	22	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	377	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	378	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	378	2	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	378	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	378	4	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	378	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	378	6	arrays	array	NNS
work_les4de22qzd4pkbxjnruyovkn4	378	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	378	8	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	378	9	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	378	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	379	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	379	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	379	3	itself	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	379	4	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	379	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	379	6	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	379	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	379	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	379	9	fixed	fix	VBN
work_les4de22qzd4pkbxjnruyovkn4	379	10	length	length	NN
work_les4de22qzd4pkbxjnruyovkn4	379	11	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	379	12	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	379	13	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	379	14	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	379	15	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	379	16	strictly	strictly	RB
work_les4de22qzd4pkbxjnruyovkn4	379	17	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	379	18	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	379	19	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	379	20	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	379	21	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	379	22	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	379	23	known	know	VBN
work_les4de22qzd4pkbxjnruyovkn4	379	24	ahead	ahead	RB
work_les4de22qzd4pkbxjnruyovkn4	379	25	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	379	26	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	379	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	380	1	Block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	380	2	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	380	3	parallelism	parallelism	NN
work_les4de22qzd4pkbxjnruyovkn4	380	4	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	380	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	380	6	above	above	JJ
work_les4de22qzd4pkbxjnruyovkn4	380	7	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	380	8	layout	layout	NN
work_les4de22qzd4pkbxjnruyovkn4	380	9	notice	notice	VBP
work_les4de22qzd4pkbxjnruyovkn4	380	10	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	380	11	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	380	12	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	380	13	resides	reside	VBZ
work_les4de22qzd4pkbxjnruyovkn4	380	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	380	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	380	16	contiguous	contiguous	JJ
work_les4de22qzd4pkbxjnruyovkn4	380	17	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	380	18	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	380	19	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	380	20	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	380	21	processed	process	VBN
work_les4de22qzd4pkbxjnruyovkn4	380	22	independently	independently	RB
work_les4de22qzd4pkbxjnruyovkn4	380	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	381	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	381	2	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	381	3	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	381	4	calculate	calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	381	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	381	6	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	381	7	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	381	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	381	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	381	10	root	root	NN
work_les4de22qzd4pkbxjnruyovkn4	381	11	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	381	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	381	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	381	14	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	381	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	381	16	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	381	17	greedily	greedily	RB
work_les4de22qzd4pkbxjnruyovkn4	381	18	select	select	VBP
work_les4de22qzd4pkbxjnruyovkn4	381	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	381	20	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	381	21	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	381	22	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	381	23	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	381	24	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	381	25	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	381	26	delegating	delegate	VBG
work_les4de22qzd4pkbxjnruyovkn4	381	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	381	28	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	381	29	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	381	30	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	381	31	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	381	32	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	381	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	382	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	382	2	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	382	3	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	382	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	382	5	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	382	6	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	382	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	382	8	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	382	9	written	write	VBN
work_les4de22qzd4pkbxjnruyovkn4	382	10	out	out	RP
work_les4de22qzd4pkbxjnruyovkn4	382	11	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	382	12	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	382	13	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	382	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	382	15	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	382	16	reduced	reduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	382	17	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	382	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	382	19	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	382	20	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	382	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	383	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	383	2	downside	downside	NN
work_les4de22qzd4pkbxjnruyovkn4	383	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	383	4	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	383	5	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	383	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	383	7	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	383	8	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	383	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	383	10	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	383	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	383	12	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	383	13	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	383	14	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	383	15	enough	enough	JJ
work_les4de22qzd4pkbxjnruyovkn4	383	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	383	17	saturate	saturate	VB
work_les4de22qzd4pkbxjnruyovkn4	383	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	383	19	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	383	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	383	21	streaming	stream	VBG
work_les4de22qzd4pkbxjnruyovkn4	383	22	multiprocessors	multiprocessor	NNS
work_les4de22qzd4pkbxjnruyovkn4	383	23	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	383	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	383	25	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	383	26	units	unit	NNS
work_les4de22qzd4pkbxjnruyovkn4	383	27	responsible	responsible	JJ
work_les4de22qzd4pkbxjnruyovkn4	383	28	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	383	29	executing	execute	VBG
work_les4de22qzd4pkbxjnruyovkn4	383	30	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	383	31	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	383	32	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	383	33	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	383	34	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	383	35	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	383	36	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	383	37	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	383	38	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	383	39	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	383	40	utilised	utilise	VBN
work_les4de22qzd4pkbxjnruyovkn4	383	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	384	1	Calculating	calculate	VBG
work_les4de22qzd4pkbxjnruyovkn4	384	2	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	384	3	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	384	4	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	384	5	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	384	6	calculate	calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	384	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	384	8	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	384	9	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	384	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	384	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	384	12	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	384	13	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	384	14	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	384	15	evaluate	evaluate	VBP
work_les4de22qzd4pkbxjnruyovkn4	384	16	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	384	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	385	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	385	2	4	4	LS
work_les4de22qzd4pkbxjnruyovkn4	385	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	385	4	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	385	5	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	385	6	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	385	7	split	split	JJ
work_les4de22qzd4pkbxjnruyovkn4	385	8	location	location	NN
work_les4de22qzd4pkbxjnruyovkn4	385	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	386	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	386	2	depends	depend	VBZ
work_les4de22qzd4pkbxjnruyovkn4	386	3	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	386	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	386	5	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	386	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	386	7	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	386	8	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	386	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	386	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	386	11	GR	GR	NNP
work_les4de22qzd4pkbxjnruyovkn4	386	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	386	13	HR	HR	NNP
work_les4de22qzd4pkbxjnruyovkn4	386	14	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	386	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	387	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	387	2	obtain	obtain	VBP
work_les4de22qzd4pkbxjnruyovkn4	387	3	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	387	4	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	387	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	387	6	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	387	7	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	387	8	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	387	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	387	10	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	387	11	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	387	12	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	387	13	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	387	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	387	15	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	387	16	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	387	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	388	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	388	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	388	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	388	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	388	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	388	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	388	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	388	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	388	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	388	10	22/37	22/37	CD
work_les4de22qzd4pkbxjnruyovkn4	388	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	388	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	VBZ
work_les4de22qzd4pkbxjnruyovkn4	388	13	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	388	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	388	15	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	388	16	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	388	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	388	18	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	388	19	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	388	20	associated	associate	VBN
work_les4de22qzd4pkbxjnruyovkn4	388	21	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	388	22	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	388	23	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	388	24	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	388	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	389	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	389	2	GR	GR	NNP
work_les4de22qzd4pkbxjnruyovkn4	389	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	389	4	HR	hr	NN
work_les4de22qzd4pkbxjnruyovkn4	389	5	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	389	6	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	389	7	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	389	8	obtained	obtain	VBN
work_les4de22qzd4pkbxjnruyovkn4	389	9	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	389	10	subtracting	subtract	VBG
work_les4de22qzd4pkbxjnruyovkn4	389	11	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	389	12	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	389	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	389	14	HL	HL	NNP
work_les4de22qzd4pkbxjnruyovkn4	389	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	389	16	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	389	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	389	18	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	389	19	total	total	NN
work_les4de22qzd4pkbxjnruyovkn4	389	20	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	389	21	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	389	22	know	know	VBP
work_les4de22qzd4pkbxjnruyovkn4	389	23	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	389	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	389	25	parent	parent	NN
work_les4de22qzd4pkbxjnruyovkn4	389	26	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	389	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	390	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	390	2	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	390	3	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	390	4	moves	move	NNS
work_les4de22qzd4pkbxjnruyovkn4	390	5	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	390	6	left	leave	VBN
work_les4de22qzd4pkbxjnruyovkn4	390	7	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	390	8	right	right	RB
work_les4de22qzd4pkbxjnruyovkn4	390	9	across	across	IN
work_les4de22qzd4pkbxjnruyovkn4	390	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	390	11	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	390	12	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	390	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	390	14	consuming	consume	VBG
work_les4de22qzd4pkbxjnruyovkn4	390	15	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	390	16	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	390	17	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	390	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	390	19	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	390	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	391	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	391	2	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	391	3	herein	herein	NN
work_les4de22qzd4pkbxjnruyovkn4	391	4	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	391	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	391	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	391	7	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	391	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	391	9	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	391	10	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	391	11	able	able	JJ
work_les4de22qzd4pkbxjnruyovkn4	391	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	391	13	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	391	14	processed	process	VBN
work_les4de22qzd4pkbxjnruyovkn4	391	15	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	391	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	391	17	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	391	18	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	391	19	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	391	20	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	391	21	iteration	iteration	NN
work_les4de22qzd4pkbxjnruyovkn4	391	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	392	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	392	2	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	392	3	gives	give	VBZ
work_les4de22qzd4pkbxjnruyovkn4	392	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	392	5	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	392	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	392	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	392	8	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	392	9	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	392	10	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	392	11	four	four	CD
work_les4de22qzd4pkbxjnruyovkn4	392	12	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	392	13	evaluating	evaluate	VBG
work_les4de22qzd4pkbxjnruyovkn4	392	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	392	15	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	392	16	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	392	17	four	four	CD
work_les4de22qzd4pkbxjnruyovkn4	392	18	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	392	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	393	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	393	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	393	3	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	393	4	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	393	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	393	6	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	393	7	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	393	8	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	393	9	scanned	scan	VBN
work_les4de22qzd4pkbxjnruyovkn4	393	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	393	11	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	393	12	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	393	13	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	393	14	evaluated	evaluate	VBN
work_les4de22qzd4pkbxjnruyovkn4	393	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	394	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	394	2	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	394	3	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	394	4	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	394	5	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	394	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	394	7	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	394	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	394	9	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	394	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	394	11	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	394	12	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	394	13	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	394	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	394	15	keeps	keep	VBZ
work_les4de22qzd4pkbxjnruyovkn4	394	16	track	track	NN
work_les4de22qzd4pkbxjnruyovkn4	394	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	394	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	394	19	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	394	20	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	394	21	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	394	22	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	394	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	394	24	accompanying	accompany	VBG
work_les4de22qzd4pkbxjnruyovkn4	394	25	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	394	26	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	394	27	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	394	28	shared	shared	JJ
work_les4de22qzd4pkbxjnruyovkn4	394	29	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	394	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	395	1	At	at	IN
work_les4de22qzd4pkbxjnruyovkn4	395	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	395	3	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	395	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	395	5	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	395	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	395	7	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	395	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	395	9	another	another	DT
work_les4de22qzd4pkbxjnruyovkn4	395	10	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	395	11	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	395	12	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	395	13	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	395	14	all	all	PDT
work_les4de22qzd4pkbxjnruyovkn4	395	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	395	16	warps	warp	NNS
work_les4de22qzd4pkbxjnruyovkn4	395	17	’	’	POS
work_les4de22qzd4pkbxjnruyovkn4	395	18	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	395	19	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	395	20	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	395	21	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	395	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	395	23	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	395	24	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	395	25	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	395	26	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	395	27	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	395	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	396	1	Missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	396	2	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	396	3	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	396	4	original	original	JJ
work_les4de22qzd4pkbxjnruyovkn4	396	5	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	396	6	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	396	7	accounts	account	VBZ
work_les4de22qzd4pkbxjnruyovkn4	396	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	396	9	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	396	10	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	396	11	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	396	12	scanning	scan	VBG
work_les4de22qzd4pkbxjnruyovkn4	396	13	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	396	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	396	15	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	396	16	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	396	17	twice	twice	RB
work_les4de22qzd4pkbxjnruyovkn4	396	18	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	396	19	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	396	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	396	21	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	396	22	XGBoost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	396	23	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	396	24	handling	handle	VBG
work_les4de22qzd4pkbxjnruyovkn4	396	25	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	396	26	values’—once	values’—once	NN
work_les4de22qzd4pkbxjnruyovkn4	396	27	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	396	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	396	29	forwards	forwards	JJ
work_les4de22qzd4pkbxjnruyovkn4	396	30	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	396	31	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	396	32	once	once	RB
work_les4de22qzd4pkbxjnruyovkn4	396	33	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	396	34	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	396	35	reverse	reverse	JJ
work_les4de22qzd4pkbxjnruyovkn4	396	36	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	396	37	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	397	1	An	an	DT
work_les4de22qzd4pkbxjnruyovkn4	397	2	alternative	alternative	JJ
work_les4de22qzd4pkbxjnruyovkn4	397	3	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	397	4	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	397	5	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	397	6	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	397	7	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	397	8	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	397	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	397	10	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	397	11	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	397	12	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	397	13	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	397	14	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	397	15	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	397	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	397	17	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	397	18	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	397	19	before	before	IN
work_les4de22qzd4pkbxjnruyovkn4	397	20	scanning	scanning	NN
work_les4de22qzd4pkbxjnruyovkn4	397	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	398	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	398	2	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	398	3	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	398	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	398	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	398	6	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	398	7	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	398	8	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	398	9	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	398	10	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	398	11	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	398	12	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	398	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	398	14	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	398	15	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	398	16	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	398	17	minus	minus	CC
work_les4de22qzd4pkbxjnruyovkn4	398	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	398	19	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	398	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	399	1	If	if	IN
work_les4de22qzd4pkbxjnruyovkn4	399	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	399	3	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	399	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	399	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	399	6	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	399	7	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	399	8	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	399	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	399	10	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	399	11	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	399	12	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	399	13	known	know	VBN
work_les4de22qzd4pkbxjnruyovkn4	399	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	399	15	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	399	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	399	17	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	399	18	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	399	19	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	399	20	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	399	21	required	require	VBN
work_les4de22qzd4pkbxjnruyovkn4	399	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	400	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	400	2	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	400	3	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	400	4	chosen	choose	VBN
work_les4de22qzd4pkbxjnruyovkn4	400	5	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	400	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	400	7	cost	cost	NN
work_les4de22qzd4pkbxjnruyovkn4	400	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	400	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	400	10	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	400	11	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	400	12	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	400	13	significantly	significantly	RB
work_les4de22qzd4pkbxjnruyovkn4	400	14	less	less	JJR
work_les4de22qzd4pkbxjnruyovkn4	400	15	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	400	16	performing	perform	VBG
work_les4de22qzd4pkbxjnruyovkn4	400	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	400	18	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	400	19	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	400	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	401	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	401	2	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	401	3	Device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	401	4	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	401	5	layout	layout	NN
work_les4de22qzd4pkbxjnruyovkn4	401	6	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	401	7	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	401	8	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	401	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	402	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	402	2	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	402	3	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	402	4	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	402	5	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	402	6	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	402	7	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	402	8	Gradient	Gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	402	9	pair	pair	NN
work_les4de22qzd4pkbxjnruyovkn4	402	10	p0	p0	NN
work_les4de22qzd4pkbxjnruyovkn4	402	11	p1	p1	NN
work_les4de22qzd4pkbxjnruyovkn4	402	12	p2	p2	NN
work_les4de22qzd4pkbxjnruyovkn4	402	13	p3	p3	NN
work_les4de22qzd4pkbxjnruyovkn4	402	14	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	402	15	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	402	16	Device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	402	17	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	402	18	layout	layout	NN
work_les4de22qzd4pkbxjnruyovkn4	402	19	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	402	20	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	402	21	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	402	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	403	1	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	403	2	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	403	3	f2	f2	NNP
work_les4de22qzd4pkbxjnruyovkn4	403	4	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	403	5	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	403	6	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	403	7	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	8	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	9	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	10	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	11	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	12	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	13	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	14	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	15	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	403	16	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	403	17	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	403	18	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	19	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	403	20	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	403	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	403	22	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	403	23	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	403	24	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	403	25	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	403	26	Feature	Feature	NNP
work_les4de22qzd4pkbxjnruyovkn4	403	27	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	403	28	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	403	29	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	403	30	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	403	31	5.2	5.2	CD
work_les4de22qzd4pkbxjnruyovkn4	403	32	3.1	3.1	CD
work_les4de22qzd4pkbxjnruyovkn4	403	33	3.6	3.6	CD
work_les4de22qzd4pkbxjnruyovkn4	403	34	3.9	3.9	CD
work_les4de22qzd4pkbxjnruyovkn4	403	35	4.7	4.7	CD
work_les4de22qzd4pkbxjnruyovkn4	403	36	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	403	37	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	403	38	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	403	39	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	403	40	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	403	41	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	403	42	evaluating	evaluate	VBG
work_les4de22qzd4pkbxjnruyovkn4	403	43	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	403	44	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	404	1	Thread	thread	JJ
work_les4de22qzd4pkbxjnruyovkn4	404	2	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	404	3	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	404	4	⇒	⇒	CD
work_les4de22qzd4pkbxjnruyovkn4	404	5	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	6	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	7	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	8	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	9	f0	f0	NN
work_les4de22qzd4pkbxjnruyovkn4	404	10	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	404	11	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	404	12	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	404	13	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	404	14	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	404	15	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	404	16	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	404	17	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	404	18	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	404	19	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	404	20	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	404	21	Feature	Feature	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	22	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	404	23	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	404	24	0.2	0.2	CD
work_les4de22qzd4pkbxjnruyovkn4	404	25	0.3	0.3	CD
work_les4de22qzd4pkbxjnruyovkn4	404	26	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	404	27	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	404	28	0.7	0.7	CD
work_les4de22qzd4pkbxjnruyovkn4	404	29	0.8	0.8	CD
work_les4de22qzd4pkbxjnruyovkn4	404	30	0.8	0.8	CD
work_les4de22qzd4pkbxjnruyovkn4	404	31	Gradient	Gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	32	pair	pair	NN
work_les4de22qzd4pkbxjnruyovkn4	404	33	p0	p0	NN
work_les4de22qzd4pkbxjnruyovkn4	404	34	p2	p2	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	35	p3	p3	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	36	p1	p1	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	37	p7	p7	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	38	p5	p5	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	39	p6	p6	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	40	p4	p4	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	41	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	42	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	404	43	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	44	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	404	45	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	404	46	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	404	47	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	404	48	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	49	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	404	50	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	405	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	405	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	405	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	405	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	405	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	10	23/37	23/37	CD
work_les4de22qzd4pkbxjnruyovkn4	405	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	405	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	13	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	14	buckets	bucket	VBZ
work_les4de22qzd4pkbxjnruyovkn4	405	15	So	so	RB
work_les4de22qzd4pkbxjnruyovkn4	405	16	far	far	RB
work_les4de22qzd4pkbxjnruyovkn4	405	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	405	18	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	405	19	description	description	NN
work_les4de22qzd4pkbxjnruyovkn4	405	20	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	405	21	explains	explain	VBZ
work_les4de22qzd4pkbxjnruyovkn4	405	22	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	405	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	405	24	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	405	25	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	405	26	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	405	27	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	405	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	405	29	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	405	30	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	405	31	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	405	32	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	405	33	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	405	34	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	405	35	bucketed	bucket	VBN
work_les4de22qzd4pkbxjnruyovkn4	405	36	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	405	37	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	405	38	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	405	39	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	405	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	406	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	406	2	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	406	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	406	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	406	5	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	406	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	406	7	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	406	8	definition	definition	NN
work_les4de22qzd4pkbxjnruyovkn4	406	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	406	10	separate	separate	JJ
work_les4de22qzd4pkbxjnruyovkn4	406	11	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	406	12	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	406	13	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	406	14	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	406	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	406	16	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	406	17	evaluate	evaluate	VB
work_les4de22qzd4pkbxjnruyovkn4	406	18	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	406	19	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	406	20	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	406	21	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	406	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	406	23	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	406	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	407	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	407	2	leaves	leave	VBZ
work_les4de22qzd4pkbxjnruyovkn4	407	3	us	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	407	4	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	407	5	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	407	6	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	407	7	options	option	NNS
work_les4de22qzd4pkbxjnruyovkn4	407	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	407	9	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	407	10	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	407	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	408	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	408	2	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	408	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	408	4	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	408	5	leave	leave	VB
work_les4de22qzd4pkbxjnruyovkn4	408	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	408	7	data	data	NN
work_les4de22qzd4pkbxjnruyovkn4	408	8	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	408	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	408	10	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	408	11	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	408	12	location	location	NN
work_les4de22qzd4pkbxjnruyovkn4	408	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	408	14	keeping	keep	VBG
work_les4de22qzd4pkbxjnruyovkn4	408	15	track	track	NN
work_les4de22qzd4pkbxjnruyovkn4	408	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	408	17	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	408	18	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	408	19	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	408	20	currently	currently	RB
work_les4de22qzd4pkbxjnruyovkn4	408	21	reside	reside	VBP
work_les4de22qzd4pkbxjnruyovkn4	408	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	408	23	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	408	24	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	408	25	auxiliary	auxiliary	JJ
work_les4de22qzd4pkbxjnruyovkn4	408	26	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	408	27	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	408	28	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	408	29	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	408	30	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	408	31	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	408	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	409	1	When	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	409	2	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	409	3	perform	perform	VBP
work_les4de22qzd4pkbxjnruyovkn4	409	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	409	5	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	409	6	across	across	IN
work_les4de22qzd4pkbxjnruyovkn4	409	7	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	409	8	data	data	NN
work_les4de22qzd4pkbxjnruyovkn4	409	9	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	409	10	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	409	11	keep	keep	VBP
work_les4de22qzd4pkbxjnruyovkn4	409	12	temporary	temporary	JJ
work_les4de22qzd4pkbxjnruyovkn4	409	13	statistics	statistic	NNS
work_les4de22qzd4pkbxjnruyovkn4	409	14	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	409	15	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	409	16	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	409	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	410	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	410	2	therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	410	3	scan	scan	VBP
work_les4de22qzd4pkbxjnruyovkn4	410	4	across	across	IN
work_les4de22qzd4pkbxjnruyovkn4	410	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	410	6	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	410	7	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	410	8	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	410	9	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	410	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	410	11	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	410	12	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	410	13	interleaved	interleave	VBN
work_les4de22qzd4pkbxjnruyovkn4	410	14	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	410	15	respect	respect	NN
work_les4de22qzd4pkbxjnruyovkn4	410	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	410	17	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	410	18	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	410	19	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	410	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	411	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	411	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	411	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	411	4	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	411	5	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	411	6	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	411	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	411	8	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	411	9	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	411	10	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	411	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	412	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	412	2	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	412	3	perform	perform	VBP
work_les4de22qzd4pkbxjnruyovkn4	412	4	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	412	5	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	412	6	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	412	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	412	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	412	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	412	10	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	412	11	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	412	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	412	13	tree	tree	VB
work_les4de22qzd4pkbxjnruyovkn4	412	14	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	412	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	412	16	around	around	IN
work_les4de22qzd4pkbxjnruyovkn4	412	17	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	412	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	413	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	413	2	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	413	3	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	413	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	413	5	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	413	6	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	413	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	413	8	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	413	9	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	413	10	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	413	11	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	413	12	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	413	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	413	14	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	413	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	413	16	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	413	17	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	413	18	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	413	19	option	option	NN
work_les4de22qzd4pkbxjnruyovkn4	413	20	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	413	21	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	413	22	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	413	23	sort	sort	NN
work_les4de22qzd4pkbxjnruyovkn4	413	24	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	413	25	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	413	26	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	413	27	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	413	28	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	413	29	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	413	30	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	413	31	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	413	32	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	413	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	413	34	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	413	35	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	414	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	414	2	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	414	3	option	option	NN
work_les4de22qzd4pkbxjnruyovkn4	414	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	414	5	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	414	6	fully	fully	RB
work_les4de22qzd4pkbxjnruyovkn4	414	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	414	8	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	414	9	Sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	414	10	algorithm	algorithm	RB
work_les4de22qzd4pkbxjnruyovkn4	414	11	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	414	12	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	414	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	414	14	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	414	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	414	16	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	414	17	Briefly	briefly	RB
work_les4de22qzd4pkbxjnruyovkn4	414	18	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	414	19	data	data	NN
work_les4de22qzd4pkbxjnruyovkn4	414	20	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	414	21	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	414	22	first	first	RB
work_les4de22qzd4pkbxjnruyovkn4	414	23	ordered	order	VBN
work_les4de22qzd4pkbxjnruyovkn4	414	24	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	414	25	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	414	26	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	414	27	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	414	28	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	414	29	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	414	30	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	414	31	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	414	32	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	414	33	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	414	34	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	414	35	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	414	36	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	414	37	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	414	38	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	414	39	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	414	40	Table	Table	NNP
work_les4de22qzd4pkbxjnruyovkn4	414	41	13	13	CD
work_les4de22qzd4pkbxjnruyovkn4	414	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	415	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	415	2	transforms	transform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	415	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	415	4	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	415	5	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	415	6	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	415	7	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	415	8	multiscan	multiscan	NNP
work_les4de22qzd4pkbxjnruyovkn4	415	9	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	415	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	415	11	problem	problem	NN
work_les4de22qzd4pkbxjnruyovkn4	415	12	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	415	13	above	above	RB
work_les4de22qzd4pkbxjnruyovkn4	415	14	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	415	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	415	16	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	415	17	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	415	18	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	415	19	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	415	20	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	415	21	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	415	22	temporary	temporary	JJ
work_les4de22qzd4pkbxjnruyovkn4	415	23	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	415	24	requirements	requirement	NNS
work_les4de22qzd4pkbxjnruyovkn4	415	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	415	26	thus	thus	RB
work_les4de22qzd4pkbxjnruyovkn4	415	27	scales	scale	VBZ
work_les4de22qzd4pkbxjnruyovkn4	415	28	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	415	29	arbitrary	arbitrary	JJ
work_les4de22qzd4pkbxjnruyovkn4	415	30	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	415	31	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	415	32	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	415	33	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	415	34	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	415	35	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	416	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	416	2	our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	416	3	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	416	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	416	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	416	6	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	416	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	416	8	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	416	9	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	416	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	416	11	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	416	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	416	13	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	416	14	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	416	15	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	416	16	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	416	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	416	18	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	416	19	switch	switch	VB
work_les4de22qzd4pkbxjnruyovkn4	416	20	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	416	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	416	22	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	416	23	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	416	24	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	416	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	416	26	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	416	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	417	1	Avoiding	avoid	VBG
work_les4de22qzd4pkbxjnruyovkn4	417	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	417	3	expensive	expensive	JJ
work_les4de22qzd4pkbxjnruyovkn4	417	4	radix	radix	NNS
work_les4de22qzd4pkbxjnruyovkn4	417	5	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	417	6	step	step	NN
work_les4de22qzd4pkbxjnruyovkn4	417	7	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	417	8	as	as	RB
work_les4de22qzd4pkbxjnruyovkn4	417	9	long	long	RB
work_les4de22qzd4pkbxjnruyovkn4	417	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	417	11	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	417	12	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	417	13	provide	provide	VB
work_les4de22qzd4pkbxjnruyovkn4	417	14	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	417	15	advantages	advantage	NNS
work_les4de22qzd4pkbxjnruyovkn4	417	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	417	17	particularly	particularly	RB
work_les4de22qzd4pkbxjnruyovkn4	417	18	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	417	19	building	build	VBG
work_les4de22qzd4pkbxjnruyovkn4	417	20	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	417	21	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	417	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	418	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	418	2	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	418	3	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	418	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	418	5	leaves	leave	NNS
work_les4de22qzd4pkbxjnruyovkn4	418	6	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	418	7	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	418	8	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	418	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	418	10	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	418	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	419	1	At	at	IN
work_les4de22qzd4pkbxjnruyovkn4	419	2	greater	great	JJR
work_les4de22qzd4pkbxjnruyovkn4	419	3	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	419	4	there	there	EX
work_les4de22qzd4pkbxjnruyovkn4	419	5	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	419	6	insufficient	insufficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	419	7	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	419	8	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	419	9	resources	resource	NNS
work_les4de22qzd4pkbxjnruyovkn4	419	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	419	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	419	12	exponentially	exponentially	RB
work_les4de22qzd4pkbxjnruyovkn4	419	13	increasing	increase	VBG
work_les4de22qzd4pkbxjnruyovkn4	419	14	run	run	NN
work_les4de22qzd4pkbxjnruyovkn4	419	15	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	419	16	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	419	17	begins	begin	VBZ
work_les4de22qzd4pkbxjnruyovkn4	419	18	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	419	19	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	419	20	uncompetitive	uncompetitive	JJ
work_les4de22qzd4pkbxjnruyovkn4	419	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	420	1	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	420	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	420	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	420	4	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	420	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	420	6	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	420	7	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	420	8	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	420	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	420	10	correctly	correctly	RB
work_les4de22qzd4pkbxjnruyovkn4	420	11	account	account	VB
work_les4de22qzd4pkbxjnruyovkn4	420	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	420	13	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	420	14	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	420	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	420	16	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	420	17	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	420	18	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	420	19	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	420	20	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	420	21	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	420	22	obtain	obtain	VB
work_les4de22qzd4pkbxjnruyovkn4	420	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	420	24	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	420	25	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	420	26	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	420	27	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	420	28	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	420	29	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	420	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	421	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	421	2	multiscan	multiscan	NN
work_les4de22qzd4pkbxjnruyovkn4	421	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	421	4	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	421	5	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	421	6	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	421	7	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	421	8	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	421	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	422	1	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	422	2	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	422	3	f2	f2	NNP
work_les4de22qzd4pkbxjnruyovkn4	422	4	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	422	5	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	422	6	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	422	7	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	422	9	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	10	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	422	12	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	13	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	422	14	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	15	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	422	16	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	422	17	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	422	18	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	422	19	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	20	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	422	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	422	22	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	23	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	422	24	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	422	25	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	422	26	Feature	Feature	NNP
work_les4de22qzd4pkbxjnruyovkn4	422	27	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	422	28	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	422	29	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	422	30	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	422	31	5.2	5.2	CD
work_les4de22qzd4pkbxjnruyovkn4	422	32	3.1	3.1	CD
work_les4de22qzd4pkbxjnruyovkn4	422	33	3.6	3.6	CD
work_les4de22qzd4pkbxjnruyovkn4	422	34	3.9	3.9	CD
work_les4de22qzd4pkbxjnruyovkn4	422	35	4.7	4.7	CD
work_les4de22qzd4pkbxjnruyovkn4	422	36	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	422	37	13	13	CD
work_les4de22qzd4pkbxjnruyovkn4	422	38	Sorted	sorted	JJ
work_les4de22qzd4pkbxjnruyovkn4	422	39	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	422	40	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	422	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	423	1	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	2	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	3	f2	f2	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	4	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	5	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	423	6	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	423	7	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	423	8	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	423	9	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	423	10	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	423	11	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	423	12	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	423	13	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	423	14	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	423	15	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	423	16	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	423	17	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	423	18	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	423	19	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	423	20	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	423	21	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	423	22	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	423	23	Feature	Feature	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	24	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	423	25	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	423	26	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	423	27	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	423	28	5.2	5.2	CD
work_les4de22qzd4pkbxjnruyovkn4	423	29	3.1	3.1	CD
work_les4de22qzd4pkbxjnruyovkn4	423	30	3.9	3.9	CD
work_les4de22qzd4pkbxjnruyovkn4	423	31	3.6	3.6	CD
work_les4de22qzd4pkbxjnruyovkn4	423	32	4.7	4.7	CD
work_les4de22qzd4pkbxjnruyovkn4	423	33	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	34	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	423	35	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	36	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	423	37	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	423	38	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	423	39	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	423	40	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	41	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	423	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	424	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	424	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	424	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	424	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	424	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	10	24/37	24/37	CD
work_les4de22qzd4pkbxjnruyovkn4	424	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	424	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	424	13	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	424	14	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	424	15	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	424	16	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	17	pairs	pairs	NNP
work_les4de22qzd4pkbxjnruyovkn4	424	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	425	1	Following	follow	VBG
work_les4de22qzd4pkbxjnruyovkn4	425	2	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	425	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	425	4	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	425	5	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	425	6	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	425	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	425	8	identified	identify	VBN
work_les4de22qzd4pkbxjnruyovkn4	425	9	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	425	10	gain	gain	VB
work_les4de22qzd4pkbxjnruyovkn4	425	11	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	425	12	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	425	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	425	14	identify	identify	VB
work_les4de22qzd4pkbxjnruyovkn4	425	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	425	16	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	425	17	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	425	18	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	425	19	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	425	20	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	425	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	426	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	426	2	first	first	RB
work_les4de22qzd4pkbxjnruyovkn4	426	3	discuss	discuss	VBP
work_les4de22qzd4pkbxjnruyovkn4	426	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	426	5	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	426	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	426	7	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	426	8	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	426	9	before	before	IN
work_les4de22qzd4pkbxjnruyovkn4	426	10	considering	consider	VBG
work_les4de22qzd4pkbxjnruyovkn4	426	11	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	426	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	426	13	evaluate	evaluate	VB
work_les4de22qzd4pkbxjnruyovkn4	426	14	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	426	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	427	1	Multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	427	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	427	3	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	427	4	Algorithms	Algorithms	NNP
work_les4de22qzd4pkbxjnruyovkn4	427	5	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	427	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	427	7	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	427	8	outline	outline	NN
work_les4de22qzd4pkbxjnruyovkn4	427	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	427	10	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	427	11	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	427	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	427	13	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	427	14	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	427	15	multiscan	multiscan	NNP
work_les4de22qzd4pkbxjnruyovkn4	427	16	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	427	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	427	18	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	427	19	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	427	20	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	427	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	428	1	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	428	2	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	428	3	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	428	4	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	428	5	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	428	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	428	7	formulated	formulate	VBN
work_les4de22qzd4pkbxjnruyovkn4	428	8	around	around	IN
work_les4de22qzd4pkbxjnruyovkn4	428	9	sequentially	sequentially	RB
work_les4de22qzd4pkbxjnruyovkn4	428	10	executing	execute	VBG
work_les4de22qzd4pkbxjnruyovkn4	428	11	fast	fast	RB
work_les4de22qzd4pkbxjnruyovkn4	428	12	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	428	13	synchronous	synchronous	JJ
work_les4de22qzd4pkbxjnruyovkn4	428	14	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	428	15	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	428	16	reduce	reduce	NN
work_les4de22qzd4pkbxjnruyovkn4	428	17	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	428	18	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	428	19	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	428	20	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	428	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	429	1	Passing	pass	VBG
work_les4de22qzd4pkbxjnruyovkn4	429	2	vectors	vector	NNS
work_les4de22qzd4pkbxjnruyovkn4	429	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	429	4	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	429	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	429	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	429	7	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	429	8	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	429	9	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	429	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	429	11	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	429	12	generally	generally	RB
work_les4de22qzd4pkbxjnruyovkn4	429	13	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	429	14	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	429	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	429	16	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	429	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	429	18	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	429	19	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	429	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	429	21	limited	limited	JJ
work_les4de22qzd4pkbxjnruyovkn4	429	22	temporary	temporary	JJ
work_les4de22qzd4pkbxjnruyovkn4	429	23	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	429	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	430	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	430	2	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	430	3	discussed	discuss	VBN
work_les4de22qzd4pkbxjnruyovkn4	430	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	430	5	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	430	6	Scan	Scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	430	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	430	8	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	430	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	430	10	multiple	multiple	JJ
work_les4de22qzd4pkbxjnruyovkn4	430	11	sequences	sequence	NNS
work_les4de22qzd4pkbxjnruyovkn4	430	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	430	13	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	430	14	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	430	15	instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	430	16	perform	perform	VBP
work_les4de22qzd4pkbxjnruyovkn4	430	17	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	430	18	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	430	19	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	430	20	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	430	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	431	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	431	2	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	431	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	431	4	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	431	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	431	6	32-thread	32-thread	CD
work_les4de22qzd4pkbxjnruyovkn4	431	7	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	431	8	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	431	9	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	431	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	431	11	multiscan	multiscan	NN
work_les4de22qzd4pkbxjnruyovkn4	431	12	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	431	13	masking	mask	VBG
work_les4de22qzd4pkbxjnruyovkn4	431	14	off	off	RP
work_les4de22qzd4pkbxjnruyovkn4	431	15	non	non	JJ
work_les4de22qzd4pkbxjnruyovkn4	431	16	-	-	JJ
work_les4de22qzd4pkbxjnruyovkn4	431	17	active	active	JJ
work_les4de22qzd4pkbxjnruyovkn4	431	18	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	431	19	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	431	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	431	21	performing	perform	VBG
work_les4de22qzd4pkbxjnruyovkn4	431	22	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	431	23	normal	normal	JJ
work_les4de22qzd4pkbxjnruyovkn4	431	24	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	431	25	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	431	26	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	431	27	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	431	28	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	431	29	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	431	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	432	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	432	2	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	432	3	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	432	4	WarpExclusiveScan	warpexclusivescan	NN
work_les4de22qzd4pkbxjnruyovkn4	432	5	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	432	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	432	7	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	432	8	herein	herein	NNP
work_les4de22qzd4pkbxjnruyovkn4	432	9	refers	refer	VBZ
work_les4de22qzd4pkbxjnruyovkn4	432	10	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	432	11	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	432	12	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	432	13	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	432	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	432	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	432	16	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	432	17	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	432	18	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	432	19	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	432	20	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	432	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	432	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	433	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	433	2	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	433	3	Warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	433	4	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	433	5	gpu_gpair	gpu_gpair	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	6	gpair	gpair	NN
work_les4de22qzd4pkbxjnruyovkn4	433	7	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	8	//Gradient	//Gradient	.
work_les4de22qzd4pkbxjnruyovkn4	433	9	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	433	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	433	11	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	433	12	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	433	13	int	int	VBP
work_les4de22qzd4pkbxjnruyovkn4	433	14	node_id	node_id	NN
work_les4de22qzd4pkbxjnruyovkn4	433	15	;	;	,
work_les4de22qzd4pkbxjnruyovkn4	433	16	//Node	//Node	:
work_les4de22qzd4pkbxjnruyovkn4	433	17	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	433	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	433	19	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	433	20	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	433	21	gpu_gpair	gpu_gpair	SYM
work_les4de22qzd4pkbxjnruyovkn4	433	22	exclusive_scan_output	exclusive_scan_output	NN
work_les4de22qzd4pkbxjnruyovkn4	433	23	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	24	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	433	25	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	433	26	int	int	NN
work_les4de22qzd4pkbxjnruyovkn4	433	27	NODE	NODE	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	28	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	433	29	0	0	NFP
work_les4de22qzd4pkbxjnruyovkn4	433	30	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	31	NODE	NODE	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	32	<	<	XX
work_les4de22qzd4pkbxjnruyovkn4	433	33	N_NODES	N_NODES	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	34	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	35	NODE++	node++	CD
work_les4de22qzd4pkbxjnruyovkn4	433	36	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	433	37	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	433	38	bool	bool	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	39	node_active	node_active	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	40	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	433	41	node_id	node_id	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	42	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	433	43	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	433	44	NODE	node	NN
work_les4de22qzd4pkbxjnruyovkn4	433	45	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	46	gpu_gpair	gpu_gpair	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	47	scan_result	scan_result	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	48	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	49	gpu_gpair	gpu_gpair	ADD
work_les4de22qzd4pkbxjnruyovkn4	433	50	node_sum	node_sum	NN
work_les4de22qzd4pkbxjnruyovkn4	433	51	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	433	52	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	53	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	433	54	Multireduce	Multireduce	NNP
work_les4de22qzd4pkbxjnruyovkn4	433	55	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	433	56	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	433	57	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	433	58	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	433	59	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	433	60	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	434	1	An	an	DT
work_les4de22qzd4pkbxjnruyovkn4	434	2	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	434	3	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	434	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	434	5	loaded	load	VBN
work_les4de22qzd4pkbxjnruyovkn4	434	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	435	1	2	2	LS
work_les4de22qzd4pkbxjnruyovkn4	435	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	436	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	436	2	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	436	3	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	436	4	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	436	5	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	436	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	436	7	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	436	8	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	436	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	436	10	masking	mask	VBG
work_les4de22qzd4pkbxjnruyovkn4	436	11	off	off	RP
work_les4de22qzd4pkbxjnruyovkn4	436	12	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	436	13	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	436	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	436	15	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	436	16	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	436	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	437	1	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	437	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	438	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	438	2	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	438	3	adds	add	VBZ
work_les4de22qzd4pkbxjnruyovkn4	438	4	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	438	5	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	438	6	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	438	7	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	438	8	shared	shared	JJ
work_les4de22qzd4pkbxjnruyovkn4	438	9	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	438	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	439	1	4	4	LS
work_les4de22qzd4pkbxjnruyovkn4	439	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	440	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	440	2	remaining	remain	VBG
work_les4de22qzd4pkbxjnruyovkn4	440	3	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	440	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	440	5	processed	process	VBN
work_les4de22qzd4pkbxjnruyovkn4	440	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	441	1	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	441	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	442	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	442	2	partial	partial	JJ
work_les4de22qzd4pkbxjnruyovkn4	442	3	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	442	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	442	5	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	442	6	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	442	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	442	8	reduced	reduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	442	9	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	442	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	442	11	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	442	12	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	442	13	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	442	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	442	15	final	final	JJ
work_les4de22qzd4pkbxjnruyovkn4	442	16	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	442	17	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	442	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	443	1	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	443	2	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	443	3	Multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	443	4	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	443	5	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	443	6	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	443	7	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	443	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	443	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	444	1	An	an	DT
work_les4de22qzd4pkbxjnruyovkn4	444	2	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	444	3	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	444	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	444	5	loaded	load	VBN
work_les4de22qzd4pkbxjnruyovkn4	444	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	445	1	2	2	LS
work_les4de22qzd4pkbxjnruyovkn4	445	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	446	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	446	2	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	446	3	performs	perform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	446	4	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	446	5	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	446	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	446	7	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	446	8	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	446	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	446	10	masking	mask	VBG
work_les4de22qzd4pkbxjnruyovkn4	446	11	off	off	RP
work_les4de22qzd4pkbxjnruyovkn4	446	12	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	446	13	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	446	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	446	15	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	446	16	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	446	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	447	1	3	3	LS
work_les4de22qzd4pkbxjnruyovkn4	447	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	448	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	448	2	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	448	3	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	448	4	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	448	5	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	448	6	scan	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	448	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	448	8	placed	place	VBN
work_les4de22qzd4pkbxjnruyovkn4	448	9	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	448	10	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	448	11	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	448	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	449	1	4	4	LS
work_les4de22qzd4pkbxjnruyovkn4	449	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	450	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	450	2	partial	partial	JJ
work_les4de22qzd4pkbxjnruyovkn4	450	3	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	450	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	450	5	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	450	6	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	450	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	450	8	scanned	scan	VBN
work_les4de22qzd4pkbxjnruyovkn4	450	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	451	1	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	451	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	452	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	452	2	scanned	scan	VBN
work_les4de22qzd4pkbxjnruyovkn4	452	3	partial	partial	JJ
work_les4de22qzd4pkbxjnruyovkn4	452	4	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	452	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	452	6	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	452	7	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	452	8	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	452	9	added	add	VBN
work_les4de22qzd4pkbxjnruyovkn4	452	10	back	back	RB
work_les4de22qzd4pkbxjnruyovkn4	452	11	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	452	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	452	13	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	452	14	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	452	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	453	1	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	453	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	454	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	454	2	running	running	JJ
work_les4de22qzd4pkbxjnruyovkn4	454	3	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	454	4	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	454	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	454	6	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	454	7	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	454	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	454	9	added	add	VBN
work_les4de22qzd4pkbxjnruyovkn4	454	10	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	454	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	454	12	local	local	JJ
work_les4de22qzd4pkbxjnruyovkn4	454	13	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	454	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	455	1	7	7	LS
work_les4de22qzd4pkbxjnruyovkn4	455	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	456	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	456	2	remaining	remain	VBG
work_les4de22qzd4pkbxjnruyovkn4	456	3	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	456	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	456	5	processed	process	VBN
work_les4de22qzd4pkbxjnruyovkn4	456	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	457	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	457	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	457	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	457	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	457	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	457	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	457	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	457	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	457	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	457	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	458	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	458	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	458	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	458	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	458	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	10	25/37	25/37	CD
work_les4de22qzd4pkbxjnruyovkn4	458	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	458	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	13	//First	//First	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	14	argument	argument	NN
work_les4de22qzd4pkbxjnruyovkn4	458	15	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	458	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	458	17	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	458	18	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	458	19	//Result	//Result	.
work_les4de22qzd4pkbxjnruyovkn4	458	20	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	458	21	placed	place	VBN
work_les4de22qzd4pkbxjnruyovkn4	458	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	458	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	458	24	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	458	25	argument	argument	NN
work_les4de22qzd4pkbxjnruyovkn4	458	26	//Warp	//Warp	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	27	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	458	28	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	458	29	placed	place	VBN
work_les4de22qzd4pkbxjnruyovkn4	458	30	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	458	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	458	32	third	third	JJ
work_les4de22qzd4pkbxjnruyovkn4	458	33	argument	argument	NN
work_les4de22qzd4pkbxjnruyovkn4	458	34	WarpExclusiveScan(node_active	WarpExclusiveScan(node_active	NNP
work_les4de22qzd4pkbxjnruyovkn4	458	35	?	?	.
work_les4de22qzd4pkbxjnruyovkn4	459	1	gpair	gpair	NNP
work_les4de22qzd4pkbxjnruyovkn4	459	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	459	3	gpu_gpair	gpu_gpair	NNP
work_les4de22qzd4pkbxjnruyovkn4	459	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	459	5	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	459	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	459	7	scan_result	scan_result	NNP
work_les4de22qzd4pkbxjnruyovkn4	459	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	459	9	node_sum	node_sum	NN
work_les4de22qzd4pkbxjnruyovkn4	459	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	459	11	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	459	12	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	459	13	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	459	14	node_active	node_active	NNP
work_les4de22qzd4pkbxjnruyovkn4	459	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	459	16	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	459	17	exclusive_scan_output	exclusive_scan_output	NN
work_les4de22qzd4pkbxjnruyovkn4	459	18	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	459	19	scan_result	scan_result	NNP
work_les4de22qzd4pkbxjnruyovkn4	459	20	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	459	21	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	459	22	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	459	23	Note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	459	24	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	459	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	459	26	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	459	27	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	459	28	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	459	29	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	459	30	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	459	31	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	459	32	performed	perform	VBD
work_les4de22qzd4pkbxjnruyovkn4	459	33	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	459	34	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	459	35	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	459	36	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	459	37	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	459	38	increases	increase	NNS
work_les4de22qzd4pkbxjnruyovkn4	459	39	exponentially	exponentially	RB
work_les4de22qzd4pkbxjnruyovkn4	459	40	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	459	41	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	459	42	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	459	43	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	460	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	460	2	leads	lead	VBZ
work_les4de22qzd4pkbxjnruyovkn4	460	3	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	460	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	460	5	exponentially	exponentially	RB
work_les4de22qzd4pkbxjnruyovkn4	460	6	increasing	increase	VBG
work_les4de22qzd4pkbxjnruyovkn4	460	7	run	run	NN
work_les4de22qzd4pkbxjnruyovkn4	460	8	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	460	9	relative	relative	JJ
work_les4de22qzd4pkbxjnruyovkn4	460	10	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	460	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	460	12	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	460	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	460	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	460	15	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	460	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	460	17	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	460	18	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	460	19	surprisingly	surprisingly	RB
work_les4de22qzd4pkbxjnruyovkn4	460	20	performant	performant	JJ
work_les4de22qzd4pkbxjnruyovkn4	460	21	even	even	RB
work_les4de22qzd4pkbxjnruyovkn4	460	22	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	460	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	460	24	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	460	25	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	460	26	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	460	27	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	460	28	synchronous	synchronous	JJ
work_les4de22qzd4pkbxjnruyovkn4	460	29	reductions	reduction	NNS
work_les4de22qzd4pkbxjnruyovkn4	460	30	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	460	31	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	460	32	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	460	33	shuffle	shuffle	NN
work_les4de22qzd4pkbxjnruyovkn4	460	34	instructions	instruction	NNS
work_les4de22qzd4pkbxjnruyovkn4	460	35	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	460	36	cheap	cheap	JJ
work_les4de22qzd4pkbxjnruyovkn4	460	37	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	460	38	compute	compute	VB
work_les4de22qzd4pkbxjnruyovkn4	460	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	461	1	They	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	461	2	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	461	3	perform	perform	VBP
work_les4de22qzd4pkbxjnruyovkn4	461	4	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	461	5	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	461	6	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	461	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	461	8	incur	incur	VBP
work_les4de22qzd4pkbxjnruyovkn4	461	9	no	no	DT
work_les4de22qzd4pkbxjnruyovkn4	461	10	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	461	11	latency	latency	NN
work_les4de22qzd4pkbxjnruyovkn4	461	12	reads	read	VBZ
work_les4de22qzd4pkbxjnruyovkn4	461	13	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	461	14	writes	write	VBZ
work_les4de22qzd4pkbxjnruyovkn4	461	15	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	461	16	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	461	17	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	461	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	462	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	462	2	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	3	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	462	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	462	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	462	6	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	7	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	462	8	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	462	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	462	10	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	462	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	462	12	individual	individual	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	13	warp	warp	NN
work_les4de22qzd4pkbxjnruyovkn4	462	14	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	462	15	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	462	16	performing	perform	VBG
work_les4de22qzd4pkbxjnruyovkn4	462	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	462	18	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	19	multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	20	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	462	21	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	462	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	462	23	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	462	24	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	462	25	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	462	26	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	27	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	462	28	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	462	29	scattering	scatter	VBG
work_les4de22qzd4pkbxjnruyovkn4	462	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	462	31	results	result	NNS
work_les4de22qzd4pkbxjnruyovkn4	462	32	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	462	33	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	462	34	back	back	NN
work_les4de22qzd4pkbxjnruyovkn4	462	35	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	462	36	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	462	37	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	462	38	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	463	1	More	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	463	2	detailed	detailed	JJ
work_les4de22qzd4pkbxjnruyovkn4	463	3	information	information	NN
work_les4de22qzd4pkbxjnruyovkn4	463	4	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	463	5	how	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	463	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	463	7	calculate	calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	463	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	463	9	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	463	10	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	463	11	wide	wide	JJ
work_les4de22qzd4pkbxjnruyovkn4	463	12	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	463	13	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	463	14	smaller	small	JJR
work_les4de22qzd4pkbxjnruyovkn4	463	15	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	463	16	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	463	17	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	463	18	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	463	19	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	463	20	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	463	21	Nvidia	Nvidia	NNP
work_les4de22qzd4pkbxjnruyovkn4	463	22	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	463	23	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	463	24	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	463	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	464	1	Evaluating	evaluate	VBG
work_les4de22qzd4pkbxjnruyovkn4	464	2	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	464	3	There	there	EX
work_les4de22qzd4pkbxjnruyovkn4	464	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	464	5	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	464	6	additional	additional	JJ
work_les4de22qzd4pkbxjnruyovkn4	464	7	problem	problem	NN
work_les4de22qzd4pkbxjnruyovkn4	464	8	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	464	9	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	464	10	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	464	11	solved	solve	VBN
work_les4de22qzd4pkbxjnruyovkn4	464	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	465	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	465	2	arises	arise	VBZ
work_les4de22qzd4pkbxjnruyovkn4	465	3	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	465	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	465	5	consequence	consequence	NN
work_les4de22qzd4pkbxjnruyovkn4	465	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	465	7	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	465	8	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	465	9	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	465	10	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	465	11	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	465	12	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	465	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	466	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	466	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	466	3	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	466	4	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	466	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	466	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	466	7	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	466	8	enumerating	enumerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	466	9	through	through	IN
work_les4de22qzd4pkbxjnruyovkn4	466	10	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	466	11	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	466	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	466	13	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	466	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	466	15	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	466	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	466	17	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	466	18	should	should	MD
work_les4de22qzd4pkbxjnruyovkn4	466	19	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	466	20	choose	choose	VB
work_les4de22qzd4pkbxjnruyovkn4	466	21	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	466	22	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	466	23	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	466	24	falls	fall	VBZ
work_les4de22qzd4pkbxjnruyovkn4	466	25	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	466	26	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	466	27	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	466	28	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	466	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	466	30	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	466	31	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	466	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	467	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	467	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	467	3	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	467	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	467	5	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	467	6	rule	rule	NN
work_les4de22qzd4pkbxjnruyovkn4	467	7	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	467	8	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	467	9	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	467	10	able	able	JJ
work_les4de22qzd4pkbxjnruyovkn4	467	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	467	12	separate	separate	VB
work_les4de22qzd4pkbxjnruyovkn4	467	13	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	467	14	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	467	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	467	16	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	467	17	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	467	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	468	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	468	2	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	468	3	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	468	4	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	468	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	468	6	considered	consider	VBN
work_les4de22qzd4pkbxjnruyovkn4	468	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	468	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	468	9	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	468	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	468	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	468	12	corresponding	correspond	VBG
work_les4de22qzd4pkbxjnruyovkn4	468	13	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	468	14	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	468	15	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	468	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	468	17	leftmost	leftmost	JJ
work_les4de22qzd4pkbxjnruyovkn4	468	18	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	468	19	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	468	20	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	468	21	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	468	22	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	468	23	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	468	24	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	468	25	particular	particular	JJ
work_les4de22qzd4pkbxjnruyovkn4	468	26	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	468	27	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	468	28	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	468	29	could	could	MD
work_les4de22qzd4pkbxjnruyovkn4	468	30	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	468	31	arbitrarily	arbitrarily	RB
work_les4de22qzd4pkbxjnruyovkn4	468	32	take	take	VB
work_les4de22qzd4pkbxjnruyovkn4	468	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	468	34	rightmost	rightmost	JJ
work_les4de22qzd4pkbxjnruyovkn4	468	35	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	468	36	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	468	37	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	469	1	Because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	469	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	3	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	469	4	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	469	5	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	469	6	interleaved	interleave	VBN
work_les4de22qzd4pkbxjnruyovkn4	469	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	469	8	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	469	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	469	10	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	469	11	possible	possible	JJ
work_les4de22qzd4pkbxjnruyovkn4	469	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	469	13	simply	simply	RB
work_les4de22qzd4pkbxjnruyovkn4	469	14	check	check	VB
work_les4de22qzd4pkbxjnruyovkn4	469	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	16	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	469	17	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	469	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	19	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	469	20	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	469	21	see	see	VB
work_les4de22qzd4pkbxjnruyovkn4	469	22	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	469	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	24	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	469	25	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	469	26	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	469	27	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	28	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	469	29	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	469	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	31	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	469	32	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	469	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	469	34	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	469	35	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	469	36	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	469	37	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	469	38	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	469	39	may	may	MD
work_les4de22qzd4pkbxjnruyovkn4	469	40	reside	reside	VB
work_les4de22qzd4pkbxjnruyovkn4	469	41	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	469	42	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	469	43	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	469	44	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	469	45	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	470	1	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	470	2	check	check	VB
work_les4de22qzd4pkbxjnruyovkn4	470	3	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	470	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	470	5	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	470	6	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	470	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	470	8	certain	certain	JJ
work_les4de22qzd4pkbxjnruyovkn4	470	9	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	470	10	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	470	11	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	470	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	470	13	leftmost	leftmost	JJ
work_les4de22qzd4pkbxjnruyovkn4	470	14	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	470	15	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	470	16	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	470	17	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	470	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	470	19	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	470	20	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	470	21	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	470	22	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	470	23	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	470	24	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	470	25	formulate	formulate	VB
work_les4de22qzd4pkbxjnruyovkn4	470	26	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	470	27	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	470	28	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	470	29	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	470	30	special	special	JJ
work_les4de22qzd4pkbxjnruyovkn4	470	31	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	470	32	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	470	33	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	470	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	471	1	First	first	RB
work_les4de22qzd4pkbxjnruyovkn4	471	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	471	3	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	471	4	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	471	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	471	6	assigned	assign	VBN
work_les4de22qzd4pkbxjnruyovkn4	471	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	471	8	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	471	9	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	471	10	~	~	NFP
work_les4de22qzd4pkbxjnruyovkn4	471	11	x	x	NN
work_les4de22qzd4pkbxjnruyovkn4	471	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	471	13	length	length	NN
work_les4de22qzd4pkbxjnruyovkn4	471	14	n	n	NN
work_les4de22qzd4pkbxjnruyovkn4	471	15	+	+	CC
work_les4de22qzd4pkbxjnruyovkn4	471	16	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	471	17	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	471	18	n	n	CC
work_les4de22qzd4pkbxjnruyovkn4	471	19	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	471	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	471	21	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	471	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	471	23	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	471	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	472	1	If	if	IN
work_les4de22qzd4pkbxjnruyovkn4	472	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	472	3	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	472	4	resides	reside	VBZ
work_les4de22qzd4pkbxjnruyovkn4	472	5	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	472	6	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	472	7	i	i	PRP
work_les4de22qzd4pkbxjnruyovkn4	472	8	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	472	9	xi	xi	NNP
work_les4de22qzd4pkbxjnruyovkn4	472	10	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	472	11	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	472	12	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	472	13	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	472	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	472	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	473	1	If	if	IN
work_les4de22qzd4pkbxjnruyovkn4	473	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	473	3	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	473	4	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	473	5	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	473	6	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	473	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	473	8	distinct	distinct	JJ
work_les4de22qzd4pkbxjnruyovkn4	473	9	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	473	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	473	11	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	473	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	473	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	473	14	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	473	15	directly	directly	RB
work_les4de22qzd4pkbxjnruyovkn4	473	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	473	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	473	18	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	473	19	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	473	20	irrespective	irrespective	JJ
work_les4de22qzd4pkbxjnruyovkn4	473	21	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	473	22	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	473	23	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	473	24	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	473	25	xn+1	xn+1	NNP
work_les4de22qzd4pkbxjnruyovkn4	473	26	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	473	27	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	473	28	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	473	29	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	473	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	474	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	474	2	other	other	JJ
work_les4de22qzd4pkbxjnruyovkn4	474	3	bits	bit	NNS
work_les4de22qzd4pkbxjnruyovkn4	474	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	474	5	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	474	6	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	474	7	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	474	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	475	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	475	2	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	475	3	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	475	4	define	define	VB
work_les4de22qzd4pkbxjnruyovkn4	475	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	475	6	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	475	7	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	475	8	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	475	9	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	475	10	follows	follow	VBZ
work_les4de22qzd4pkbxjnruyovkn4	475	11	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	475	12	opð	opð	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	13	~	~	NFP
work_les4de22qzd4pkbxjnruyovkn4	475	14	a;~bÞ	a;~bþ	DT
work_les4de22qzd4pkbxjnruyovkn4	475	15	¼	¼	IN
work_les4de22qzd4pkbxjnruyovkn4	475	16	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	17	~b	~b	.
work_les4de22qzd4pkbxjnruyovkn4	475	18	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	475	19	bnþ1	bnþ1	NN
work_les4de22qzd4pkbxjnruyovkn4	475	20	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	21	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	475	22	~a	~a	NNPS
work_les4de22qzd4pkbxjnruyovkn4	475	23	_	_	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	24	~b	~b	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	25	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	475	26	otherwise	otherwise	RB
work_les4de22qzd4pkbxjnruyovkn4	475	27	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	475	28	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	475	29	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	475	30	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	31	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	475	32	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	33	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	475	34	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	475	35	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	475	36	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	475	37	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	38	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	475	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	476	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	476	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	476	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	476	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	476	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	10	26/37	26/37	CD
work_les4de22qzd4pkbxjnruyovkn4	476	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	476	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	13	Bit	Bit	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	14	xn+1	xn+1	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	15	acts	act	VBZ
work_les4de22qzd4pkbxjnruyovkn4	476	16	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	476	17	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	476	18	segmentation	segmentation	NN
work_les4de22qzd4pkbxjnruyovkn4	476	19	flag	flag	NN
work_les4de22qzd4pkbxjnruyovkn4	476	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	476	21	resetting	reset	VBG
work_les4de22qzd4pkbxjnruyovkn4	476	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	476	23	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	476	24	so	so	RB
work_les4de22qzd4pkbxjnruyovkn4	476	25	many	many	JJ
work_les4de22qzd4pkbxjnruyovkn4	476	26	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	476	27	scans	scan	NNS
work_les4de22qzd4pkbxjnruyovkn4	476	28	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	476	29	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	476	30	across	across	IN
work_les4de22qzd4pkbxjnruyovkn4	476	31	groups	group	NNS
work_les4de22qzd4pkbxjnruyovkn4	476	32	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	476	33	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	476	34	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	476	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	476	36	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	476	37	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	476	38	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	476	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	477	1	Scanning	scanning	VB
work_les4de22qzd4pkbxjnruyovkn4	477	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	477	3	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	477	4	flags	flag	NNS
work_les4de22qzd4pkbxjnruyovkn4	477	5	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	477	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	477	7	logical	logical	JJ
work_les4de22qzd4pkbxjnruyovkn4	477	8	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	477	9	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	477	10	determines	determine	NNS
work_les4de22qzd4pkbxjnruyovkn4	477	11	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	477	12	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	477	13	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	477	14	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	477	15	represented	represent	VBN
work_les4de22qzd4pkbxjnruyovkn4	477	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	477	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	477	18	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	477	19	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	477	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	477	21	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	477	22	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	477	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	477	24	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	477	25	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	477	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	478	1	Therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	478	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	478	3	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	478	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	478	5	group	group	NN
work_les4de22qzd4pkbxjnruyovkn4	478	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	478	7	items	item	NNS
work_les4de22qzd4pkbxjnruyovkn4	478	8	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	478	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	478	10	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	478	11	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	478	12	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	478	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	478	14	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	478	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	478	16	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	478	17	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	478	18	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	478	19	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	478	20	flag	flag	NN
work_les4de22qzd4pkbxjnruyovkn4	478	21	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	478	22	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	478	23	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	478	24	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	478	25	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	478	26	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	478	27	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	478	28	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	478	29	resides	reside	VBZ
work_les4de22qzd4pkbxjnruyovkn4	478	30	in	in	RB
work_les4de22qzd4pkbxjnruyovkn4	478	31	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	478	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	478	33	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	478	34	represents	represent	VBZ
work_les4de22qzd4pkbxjnruyovkn4	478	35	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	478	36	leftmost	leftmost	JJ
work_les4de22qzd4pkbxjnruyovkn4	478	37	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	478	38	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	478	39	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	478	40	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	478	41	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	478	42	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	478	43	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	478	44	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	479	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	479	2	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	479	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	479	4	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	479	5	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	479	6	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	479	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	479	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	479	9	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	479	10	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	479	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	480	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	480	2	practice	practice	NN
work_les4de22qzd4pkbxjnruyovkn4	480	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	480	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	480	5	64	64	CD
work_les4de22qzd4pkbxjnruyovkn4	480	6	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	480	7	integer	integer	NN
work_les4de22qzd4pkbxjnruyovkn4	480	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	480	9	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	480	10	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	480	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	480	12	bit	bit	NN
work_les4de22qzd4pkbxjnruyovkn4	480	13	vector	vector	NN
work_les4de22qzd4pkbxjnruyovkn4	480	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	480	15	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	480	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	480	17	hold	hold	VB
work_les4de22qzd4pkbxjnruyovkn4	480	18	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	480	19	maximum	maximum	NN
work_les4de22qzd4pkbxjnruyovkn4	480	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	480	21	33	33	CD
work_les4de22qzd4pkbxjnruyovkn4	480	22	bits	bit	NNS
work_les4de22qzd4pkbxjnruyovkn4	480	23	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	480	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	480	25	sixth	sixth	JJ
work_les4de22qzd4pkbxjnruyovkn4	480	26	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	480	27	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	480	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	480	29	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	480	30	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	480	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	480	32	maximum	maximum	JJ
work_les4de22qzd4pkbxjnruyovkn4	480	33	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	480	34	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	480	35	active	active	JJ
work_les4de22qzd4pkbxjnruyovkn4	480	36	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	480	37	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	480	38	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	480	39	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	480	40	+1	+1	NNS
work_les4de22qzd4pkbxjnruyovkn4	480	41	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	480	42	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	480	43	segmentation	segmentation	NN
work_les4de22qzd4pkbxjnruyovkn4	480	44	flag	flag	NN
work_les4de22qzd4pkbxjnruyovkn4	480	45	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	480	46	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	481	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	481	2	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	481	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	481	4	formulated	formulate	VBN
work_les4de22qzd4pkbxjnruyovkn4	481	5	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	481	6	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	481	7	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	481	8	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	481	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	481	10	C++	C++	NNP
work_les4de22qzd4pkbxjnruyovkn4	481	11	code	code	NN
work_les4de22qzd4pkbxjnruyovkn4	481	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	482	1	Moreover	moreover	RB
work_les4de22qzd4pkbxjnruyovkn4	482	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	482	3	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	482	4	applying	apply	VBG
work_les4de22qzd4pkbxjnruyovkn4	482	5	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	482	6	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	482	7	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	482	8	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	482	9	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	482	10	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	482	11	choose	choose	VB
work_les4de22qzd4pkbxjnruyovkn4	482	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	13	split	split	JJ
work_les4de22qzd4pkbxjnruyovkn4	482	14	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	482	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	482	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	17	halfway	halfway	NN
work_les4de22qzd4pkbxjnruyovkn4	482	18	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	482	19	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	482	20	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	482	21	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	482	22	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	482	23	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	482	24	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	482	25	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	482	26	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	482	27	know	know	VB
work_les4de22qzd4pkbxjnruyovkn4	482	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	29	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	482	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	482	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	32	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	482	33	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	482	34	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	35	left	left	NN
work_les4de22qzd4pkbxjnruyovkn4	482	36	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	482	37	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	38	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	482	39	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	482	40	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	482	41	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	482	42	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	482	43	it	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	482	44	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	482	45	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	46	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	482	47	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	482	48	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	482	49	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	482	50	item	item	NN
work_les4de22qzd4pkbxjnruyovkn4	482	51	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	482	52	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	482	53	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	483	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	483	2	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	483	3	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	483	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	483	5	accordingly	accordingly	RB
work_les4de22qzd4pkbxjnruyovkn4	483	6	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	483	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	483	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	483	9	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	483	10	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	483	11	minus	minus	CC
work_les4de22qzd4pkbxjnruyovkn4	483	12	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	483	13	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	483	14	constant	constant	NN
work_les4de22qzd4pkbxjnruyovkn4	483	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	484	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	484	2	distinction	distinction	NN
work_les4de22qzd4pkbxjnruyovkn4	484	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	484	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	484	5	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	484	6	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	484	7	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	484	8	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	484	9	affect	affect	VB
work_les4de22qzd4pkbxjnruyovkn4	484	10	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	484	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	484	12	practice	practice	NN
work_les4de22qzd4pkbxjnruyovkn4	484	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	485	1	Listing	list	VBG
work_les4de22qzd4pkbxjnruyovkn4	485	2	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	485	3	Binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	485	4	associative	associative	NN
work_les4de22qzd4pkbxjnruyovkn4	485	5	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	485	6	BitFlagSet	BitFlagSet	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	7	op(const	op(const	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	8	BitFlagSet	BitFlagSet	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	9	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	485	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	485	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	485	12	const	const	IN
work_les4de22qzd4pkbxjnruyovkn4	485	13	BitFlagSet	BitFlagSet	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	14	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	485	15	b	b	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	16	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	485	17	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	485	18	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	485	19	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	485	20	check_bit(b	check_bit(b	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	21	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	485	22	63	63	CD
work_les4de22qzd4pkbxjnruyovkn4	485	23	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	485	24	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	485	25	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	485	26	return	return	NN
work_les4de22qzd4pkbxjnruyovkn4	485	27	b	b	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	28	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	485	29	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	485	30	else	else	RB
work_les4de22qzd4pkbxjnruyovkn4	485	31	{	{	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	485	32	return	return	NN
work_les4de22qzd4pkbxjnruyovkn4	485	33	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	485	34	|	|	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	35	b	b	NN
work_les4de22qzd4pkbxjnruyovkn4	485	36	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	485	37	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	485	38	}	}	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	485	39	Complete	complete	VB
work_les4de22qzd4pkbxjnruyovkn4	485	40	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	485	41	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	485	42	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	485	43	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	485	44	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	485	45	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	485	46	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	485	47	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	485	48	above	above	JJ
work_les4de22qzd4pkbxjnruyovkn4	485	49	method	method	NN
work_les4de22qzd4pkbxjnruyovkn4	485	50	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	485	51	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	485	52	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	485	53	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	485	54	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	485	55	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	485	56	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	485	57	all	all	PDT
work_les4de22qzd4pkbxjnruyovkn4	485	58	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	485	59	machinery	machinery	NN
work_les4de22qzd4pkbxjnruyovkn4	485	60	necessary	necessary	JJ
work_les4de22qzd4pkbxjnruyovkn4	485	61	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	485	62	enumerate	enumerate	VB
work_les4de22qzd4pkbxjnruyovkn4	485	63	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	485	64	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	485	65	select	select	VB
work_les4de22qzd4pkbxjnruyovkn4	485	66	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	485	67	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	485	68	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	486	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	486	2	complete	complete	JJ
work_les4de22qzd4pkbxjnruyovkn4	486	3	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	486	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	486	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	486	6	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	486	7	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	486	8	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	486	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	486	10	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	486	11	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	486	12	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	486	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	486	14	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	486	15	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	486	16	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	486	17	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	486	18	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	486	19	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	486	20	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	486	21	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	486	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	487	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	487	2	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	487	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	487	4	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	487	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	487	6	contains	contain	VBZ
work_les4de22qzd4pkbxjnruyovkn4	487	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	487	8	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	487	9	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	487	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	487	11	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	487	12	leaf	leaf	NN
work_les4de22qzd4pkbxjnruyovkn4	487	13	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	487	14	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	487	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	487	16	given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	487	17	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	487	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	488	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	488	2	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	488	3	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	488	4	outputs	output	VBZ
work_les4de22qzd4pkbxjnruyovkn4	488	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	488	6	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	488	7	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	488	8	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	488	9	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	488	10	assigned	assign	VBN
work_les4de22qzd4pkbxjnruyovkn4	488	11	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	488	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	489	1	These	these	DT
work_les4de22qzd4pkbxjnruyovkn4	489	2	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	489	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	489	4	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	489	5	further	further	RB
work_les4de22qzd4pkbxjnruyovkn4	489	6	reduced	reduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	489	7	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	489	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	489	9	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	489	10	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	489	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	489	12	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	489	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	489	14	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	489	15	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	489	16	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	489	17	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	489	18	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	489	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	490	1	Sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	490	2	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	490	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	490	4	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	490	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	490	6	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	490	7	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	490	8	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	490	9	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	490	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	490	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	490	12	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	490	13	finding	finding	NN
work_les4de22qzd4pkbxjnruyovkn4	490	14	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	490	15	operates	operate	VBZ
work_les4de22qzd4pkbxjnruyovkn4	490	16	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	490	17	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	490	18	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	490	19	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	490	20	grouped	group	VBN
work_les4de22qzd4pkbxjnruyovkn4	490	21	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	490	22	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	490	23	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	490	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	491	1	Given	give	VBN
work_les4de22qzd4pkbxjnruyovkn4	491	2	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	491	3	sorted	sort	VBN
work_les4de22qzd4pkbxjnruyovkn4	491	4	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	491	5	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	491	6	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	491	7	first	first	RB
work_les4de22qzd4pkbxjnruyovkn4	491	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	491	9	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	491	10	feature	feature	VB
work_les4de22qzd4pkbxjnruyovkn4	491	11	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	491	12	second	second	JJ
work_les4de22qzd4pkbxjnruyovkn4	491	13	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	491	14	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	491	15	perform	perform	VB
work_les4de22qzd4pkbxjnruyovkn4	491	16	segmented	segment	VBN
work_les4de22qzd4pkbxjnruyovkn4	491	17	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	491	18	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	491	19	reduce	reduce	NN
work_les4de22qzd4pkbxjnruyovkn4	491	20	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	491	21	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	491	22	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	491	23	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	491	24	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	491	25	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	491	26	needing	need	VBG
work_les4de22qzd4pkbxjnruyovkn4	491	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	491	28	constant	constant	JJ
work_les4de22qzd4pkbxjnruyovkn4	491	29	amount	amount	NN
work_les4de22qzd4pkbxjnruyovkn4	491	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	491	31	temporary	temporary	JJ
work_les4de22qzd4pkbxjnruyovkn4	491	32	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	491	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	492	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	492	2	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	492	3	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	492	4	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	492	5	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	492	6	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	492	7	pair	pair	NN
work_les4de22qzd4pkbxjnruyovkn4	492	8	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	492	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	492	10	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	492	11	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	492	12	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	492	13	implemented	implement	VBN
work_les4de22qzd4pkbxjnruyovkn4	492	14	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	492	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	492	16	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	492	17	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	492	18	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	492	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	492	20	storing	store	VBG
work_les4de22qzd4pkbxjnruyovkn4	492	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	492	22	final	final	JJ
work_les4de22qzd4pkbxjnruyovkn4	492	23	element	element	NN
work_les4de22qzd4pkbxjnruyovkn4	492	24	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	492	25	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	492	26	segment	segment	NN
work_les4de22qzd4pkbxjnruyovkn4	492	27	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	492	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	492	29	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	492	30	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	492	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	493	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	493	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	493	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	493	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	493	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	493	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	493	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	493	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	493	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	493	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	494	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	494	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	494	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	494	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	494	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	494	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	494	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	494	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	494	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	494	10	27/37	27/37	CD
work_les4de22qzd4pkbxjnruyovkn4	494	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	494	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	494	13	Another	another	DT
work_les4de22qzd4pkbxjnruyovkn4	494	14	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	494	15	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	494	16	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	494	17	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	494	18	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	494	19	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	494	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	494	21	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	494	22	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	494	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	494	24	get	get	VB
work_les4de22qzd4pkbxjnruyovkn4	494	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	494	26	exclusive	exclusive	JJ
work_les4de22qzd4pkbxjnruyovkn4	494	27	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	494	28	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	494	29	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	494	30	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	494	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	495	1	After	after	IN
work_les4de22qzd4pkbxjnruyovkn4	495	2	scanning	scan	VBG
work_les4de22qzd4pkbxjnruyovkn4	495	3	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	495	4	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	495	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	495	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	495	7	split	split	JJ
work_les4de22qzd4pkbxjnruyovkn4	495	8	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	495	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	495	10	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	495	11	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	495	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	495	13	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	495	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	495	15	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	495	16	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	495	17	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	495	18	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	495	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	495	20	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	495	21	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	495	22	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	495	23	stored	store	VBN
work_les4de22qzd4pkbxjnruyovkn4	495	24	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	495	25	shared	shared	JJ
work_les4de22qzd4pkbxjnruyovkn4	495	26	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	495	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	496	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	496	2	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	496	3	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	496	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	496	5	formulated	formulate	VBN
work_les4de22qzd4pkbxjnruyovkn4	496	6	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	496	7	performing	perform	VBG
work_les4de22qzd4pkbxjnruyovkn4	496	8	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	496	9	ordinary	ordinary	JJ
work_les4de22qzd4pkbxjnruyovkn4	496	10	scan	scan	NN
work_les4de22qzd4pkbxjnruyovkn4	496	11	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	496	12	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	496	13	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	496	14	pairs	pair	NNS
work_les4de22qzd4pkbxjnruyovkn4	496	15	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	496	16	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	496	17	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	496	18	associative	associative	JJ
work_les4de22qzd4pkbxjnruyovkn4	496	19	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	496	20	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	496	21	resets	reset	VBZ
work_les4de22qzd4pkbxjnruyovkn4	496	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	496	23	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	496	24	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	496	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	496	26	key	key	JJ
work_les4de22qzd4pkbxjnruyovkn4	496	27	changes	change	NNS
work_les4de22qzd4pkbxjnruyovkn4	496	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	497	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	497	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	497	3	case	case	NN
work_les4de22qzd4pkbxjnruyovkn4	497	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	497	5	key	key	NN
work_les4de22qzd4pkbxjnruyovkn4	497	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	497	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	497	8	current	current	JJ
work_les4de22qzd4pkbxjnruyovkn4	497	9	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	497	10	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	497	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	497	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	497	13	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	497	14	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	497	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	497	16	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	497	17	pair	pair	NN
work_les4de22qzd4pkbxjnruyovkn4	497	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	498	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	498	2	operator	operator	NN
work_les4de22qzd4pkbxjnruyovkn4	498	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	498	4	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	498	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	498	6	Eq	Eq	NNP
work_les4de22qzd4pkbxjnruyovkn4	498	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	499	1	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	499	2	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	499	3	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	499	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	500	1	opðakey	opðakey	JJ
work_les4de22qzd4pkbxjnruyovkn4	500	2	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	3	avalue	avalue	NN
work_les4de22qzd4pkbxjnruyovkn4	500	4	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	5	bkey	bkey	NN
work_les4de22qzd4pkbxjnruyovkn4	500	6	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	7	bvalueÞ	bvalueÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	8	¼	¼	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	9	ðbkey	ðbkey	NN
work_les4de22qzd4pkbxjnruyovkn4	500	10	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	11	bvalueÞ	bvalueÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	12	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	13	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	500	14	akey	akey	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	15	6¼	6¼	CD
work_les4de22qzd4pkbxjnruyovkn4	500	16	bkey	bkey	NN
work_les4de22qzd4pkbxjnruyovkn4	500	17	ðbkey	ðbkey	NN
work_les4de22qzd4pkbxjnruyovkn4	500	18	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	19	avalue	avalue	NN
work_les4de22qzd4pkbxjnruyovkn4	500	20	þ	þ	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	21	bvalueÞ	bvalueÞ	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	22	;	;	:
work_les4de22qzd4pkbxjnruyovkn4	500	23	otherwise	otherwise	RB
work_les4de22qzd4pkbxjnruyovkn4	500	24	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	25	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	500	26	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	500	27	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	500	28	An	an	DT
work_les4de22qzd4pkbxjnruyovkn4	500	29	overview	overview	NN
work_les4de22qzd4pkbxjnruyovkn4	500	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	500	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	500	32	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	500	33	finding	find	VBG
work_les4de22qzd4pkbxjnruyovkn4	500	34	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	500	35	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	500	36	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	500	37	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	500	38	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	500	39	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	500	40	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	500	41	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	500	42	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	500	43	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	500	44	provided	provide	VBN
work_les4de22qzd4pkbxjnruyovkn4	500	45	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	500	46	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	500	47	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	500	48	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	501	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	501	2	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	501	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	501	4	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	501	5	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	501	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	501	7	like	like	IN
work_les4de22qzd4pkbxjnruyovkn4	501	8	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	501	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	501	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	501	11	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	501	12	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	501	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	501	14	consists	consist	VBZ
work_les4de22qzd4pkbxjnruyovkn4	501	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	501	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	501	17	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	501	18	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	501	19	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	501	20	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	501	21	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	501	22	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	501	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	501	24	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	501	25	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	501	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	502	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	502	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	502	3	reduced	reduce	VBN
work_les4de22qzd4pkbxjnruyovkn4	502	4	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	502	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	502	6	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	502	7	kernel	kernel	NN
work_les4de22qzd4pkbxjnruyovkn4	502	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	502	9	find	find	VB
work_les4de22qzd4pkbxjnruyovkn4	502	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	502	11	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	502	12	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	502	13	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	502	14	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	502	15	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	502	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	502	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	502	18	any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	502	19	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	502	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	503	1	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	503	2	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	503	3	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	503	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	503	5	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	503	6	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	503	7	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	503	8	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	503	9	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	503	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	504	1	Load	load	NN
work_les4de22qzd4pkbxjnruyovkn4	504	2	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	504	3	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	504	4	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	504	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	505	1	Multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	505	2	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	505	3	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	505	4	pairs	pairs	NNP
work_les4de22qzd4pkbxjnruyovkn4	505	5	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	505	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	506	1	Go	go	VB
work_les4de22qzd4pkbxjnruyovkn4	506	2	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	506	3	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	506	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	506	5	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	506	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	506	7	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	506	8	processed	process	VBD
work_les4de22qzd4pkbxjnruyovkn4	506	9	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	506	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	507	1	Return	return	VB
work_les4de22qzd4pkbxjnruyovkn4	507	2	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	507	3	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	507	4	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	507	5	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	507	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	508	1	Load	load	NN
work_les4de22qzd4pkbxjnruyovkn4	508	2	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	508	3	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	508	4	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	508	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	509	1	Multiscan	multiscan	JJ
work_les4de22qzd4pkbxjnruyovkn4	509	2	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	509	3	gradient	gradient	NN
work_les4de22qzd4pkbxjnruyovkn4	509	4	pairs	pairs	NNP
work_les4de22qzd4pkbxjnruyovkn4	509	5	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	509	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	510	1	Scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	510	2	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	510	3	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	510	4	unique	unique	JJ
work_les4de22qzd4pkbxjnruyovkn4	510	5	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	510	6	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	510	7	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	510	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	511	1	Calculate	calculate	NN
work_les4de22qzd4pkbxjnruyovkn4	511	2	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	511	3	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	511	4	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	511	5	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	511	6	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	511	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	512	1	Store	store	VB
work_les4de22qzd4pkbxjnruyovkn4	512	2	best	well	RBS
work_les4de22qzd4pkbxjnruyovkn4	512	3	split	split	VBD
work_les4de22qzd4pkbxjnruyovkn4	512	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	512	5	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	512	6	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	512	7	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	512	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	513	1	Go	go	VB
work_les4de22qzd4pkbxjnruyovkn4	513	2	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	513	3	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	513	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	513	5	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	513	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	513	7	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	513	8	processed	process	VBD
work_les4de22qzd4pkbxjnruyovkn4	513	9	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	513	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	514	1	Output	output	VB
work_les4de22qzd4pkbxjnruyovkn4	514	2	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	514	3	splits	split	VBZ
work_les4de22qzd4pkbxjnruyovkn4	514	4	Algorithm	Algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	514	5	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	514	6	Sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	514	7	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	514	8	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	514	9	finding	finding	NN
work_les4de22qzd4pkbxjnruyovkn4	514	10	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	514	11	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	514	12	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	514	13	execution	execution	NN
work_les4de22qzd4pkbxjnruyovkn4	514	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	514	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	515	1	Load	load	NN
work_les4de22qzd4pkbxjnruyovkn4	515	2	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	515	3	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	515	4	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	515	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	516	1	Segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	516	2	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	516	3	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	516	4	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	516	5	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	516	6	pairs	pairs	NNP
work_les4de22qzd4pkbxjnruyovkn4	516	7	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	516	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	517	1	Go	go	VB
work_les4de22qzd4pkbxjnruyovkn4	517	2	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	517	3	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	517	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	517	5	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	517	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	517	7	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	517	8	processed	process	VBD
work_les4de22qzd4pkbxjnruyovkn4	517	9	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	517	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	518	1	Return	return	VB
work_les4de22qzd4pkbxjnruyovkn4	518	2	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	518	3	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	518	4	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	518	5	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	518	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	519	1	Load	load	NN
work_les4de22qzd4pkbxjnruyovkn4	519	2	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	519	3	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	519	4	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	519	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	520	1	Segmented	segment	VBN
work_les4de22qzd4pkbxjnruyovkn4	520	2	scan	scan	JJ
work_les4de22qzd4pkbxjnruyovkn4	520	3	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	520	4	tile	tile	NN
work_les4de22qzd4pkbxjnruyovkn4	520	5	gradient	gradient	NNP
work_les4de22qzd4pkbxjnruyovkn4	520	6	pairs	pairs	NNP
work_les4de22qzd4pkbxjnruyovkn4	520	7	7	7	CD
work_les4de22qzd4pkbxjnruyovkn4	520	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	521	1	Calculate	calculate	NN
work_les4de22qzd4pkbxjnruyovkn4	521	2	gain	gain	NN
work_les4de22qzd4pkbxjnruyovkn4	521	3	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	521	4	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	521	5	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	521	6	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	521	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	522	1	Store	store	VB
work_les4de22qzd4pkbxjnruyovkn4	522	2	best	well	RBS
work_les4de22qzd4pkbxjnruyovkn4	522	3	split	split	VBD
work_les4de22qzd4pkbxjnruyovkn4	522	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	522	5	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	522	6	warp	warp	JJ
work_les4de22qzd4pkbxjnruyovkn4	522	7	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	522	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	523	1	Go	go	VB
work_les4de22qzd4pkbxjnruyovkn4	523	2	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	523	3	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	523	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	523	5	until	until	IN
work_les4de22qzd4pkbxjnruyovkn4	523	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	523	7	tiles	tile	NNS
work_les4de22qzd4pkbxjnruyovkn4	523	8	processed	process	VBD
work_les4de22qzd4pkbxjnruyovkn4	523	9	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	523	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	524	1	Output	output	VB
work_les4de22qzd4pkbxjnruyovkn4	524	2	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	524	3	splits	split	VBZ
work_les4de22qzd4pkbxjnruyovkn4	524	4	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	524	5	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	524	6	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	524	7	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	524	8	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	524	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	524	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	524	11	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	524	12	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	524	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	525	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	525	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	525	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	525	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	525	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	10	28/37	28/37	CD
work_les4de22qzd4pkbxjnruyovkn4	525	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	525	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	13	Phase	Phase	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	14	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	525	15	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	525	16	update	update	NN
work_les4de22qzd4pkbxjnruyovkn4	525	17	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	525	18	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	525	19	Once	once	IN
work_les4de22qzd4pkbxjnruyovkn4	525	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	525	21	best	good	JJS
work_les4de22qzd4pkbxjnruyovkn4	525	22	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	525	23	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	525	24	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	525	25	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	525	26	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	525	27	been	be	VBN
work_les4de22qzd4pkbxjnruyovkn4	525	28	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	525	29	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	525	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	525	31	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	525	32	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	525	33	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	525	34	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	525	35	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	525	36	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	525	37	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	525	38	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	525	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	526	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	526	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	526	3	made	make	VBN
work_les4de22qzd4pkbxjnruyovkn4	526	4	non	non	JJ
work_les4de22qzd4pkbxjnruyovkn4	526	5	-	-	JJ
work_les4de22qzd4pkbxjnruyovkn4	526	6	trivial	trivial	JJ
work_les4de22qzd4pkbxjnruyovkn4	526	7	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	526	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	526	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	526	10	presence	presence	NN
work_les4de22qzd4pkbxjnruyovkn4	526	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	526	12	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	526	13	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	526	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	527	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	527	2	first	first	RB
work_les4de22qzd4pkbxjnruyovkn4	527	3	create	create	VBP
work_les4de22qzd4pkbxjnruyovkn4	527	4	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	527	5	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	527	6	containing	contain	VBG
work_les4de22qzd4pkbxjnruyovkn4	527	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	527	8	pre	pre	JJ
work_les4de22qzd4pkbxjnruyovkn4	527	9	-	-	JJ
work_les4de22qzd4pkbxjnruyovkn4	527	10	split	split	JJ
work_les4de22qzd4pkbxjnruyovkn4	527	11	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	527	12	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	527	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	527	14	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	527	15	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	527	16	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	527	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	528	1	These	these	DT
work_les4de22qzd4pkbxjnruyovkn4	528	2	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	528	3	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	528	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	528	5	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	528	6	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	528	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	528	8	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	528	9	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	528	10	contained	contain	VBD
work_les4de22qzd4pkbxjnruyovkn4	528	11	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	528	12	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	528	13	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	528	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	528	15	according	accord	VBG
work_les4de22qzd4pkbxjnruyovkn4	528	16	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	528	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	528	18	default	default	NN
work_les4de22qzd4pkbxjnruyovkn4	528	19	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	528	20	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	528	21	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	528	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	528	23	newly	newly	RB
work_les4de22qzd4pkbxjnruyovkn4	528	24	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	528	25	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	528	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	529	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	529	2	then	then	RB
work_les4de22qzd4pkbxjnruyovkn4	529	3	update	update	VBP
work_les4de22qzd4pkbxjnruyovkn4	529	4	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	529	5	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	529	6	again	again	RB
work_les4de22qzd4pkbxjnruyovkn4	529	7	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	529	8	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	529	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	529	10	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	529	11	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	529	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	529	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	529	14	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	529	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	530	1	Any	any	DT
work_les4de22qzd4pkbxjnruyovkn4	530	2	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	530	3	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	530	4	does	do	VBZ
work_les4de22qzd4pkbxjnruyovkn4	530	5	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	530	6	have	have	VB
work_les4de22qzd4pkbxjnruyovkn4	530	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	530	8	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	530	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	530	10	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	530	11	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	530	12	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	530	13	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	530	14	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	530	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	530	16	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	530	17	have	have	VB
work_les4de22qzd4pkbxjnruyovkn4	530	18	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	530	19	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	530	20	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	530	21	left	leave	VBD
work_les4de22qzd4pkbxjnruyovkn4	530	22	unchanged	unchanged	JJ
work_les4de22qzd4pkbxjnruyovkn4	530	23	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	530	24	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	530	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	530	26	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	530	27	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	530	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	531	1	Because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	531	2	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	531	3	now	now	RB
work_les4de22qzd4pkbxjnruyovkn4	531	4	have	have	VBP
work_les4de22qzd4pkbxjnruyovkn4	531	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	531	6	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	531	7	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	531	8	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	531	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	531	10	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	531	11	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	531	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	531	13	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	531	14	write	write	VBP
work_les4de22qzd4pkbxjnruyovkn4	531	15	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	531	16	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	531	17	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	531	18	back	back	RB
work_les4de22qzd4pkbxjnruyovkn4	531	19	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	531	20	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	531	21	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	531	22	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	531	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	532	1	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	532	2	illustrate	illustrate	VB
work_les4de22qzd4pkbxjnruyovkn4	532	3	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	532	4	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	532	5	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	532	6	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	532	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	532	8	Fig	Fig	NNP
work_les4de22qzd4pkbxjnruyovkn4	532	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	533	1	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	533	2	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	533	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	533	4	state	state	NN
work_les4de22qzd4pkbxjnruyovkn4	533	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	533	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	533	7	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	533	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	533	9	after	after	IN
work_les4de22qzd4pkbxjnruyovkn4	533	10	having	have	VBG
work_les4de22qzd4pkbxjnruyovkn4	533	11	calculated	calculate	VBN
work_les4de22qzd4pkbxjnruyovkn4	533	12	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	533	13	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	533	14	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	533	15	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	533	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	534	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	534	2	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	534	3	positions	position	NNS
work_les4de22qzd4pkbxjnruyovkn4	534	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	534	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	534	6	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	534	7	structure	structure	NN
work_les4de22qzd4pkbxjnruyovkn4	534	8	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	534	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	534	10	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	534	11	finding	finding	NN
work_les4de22qzd4pkbxjnruyovkn4	534	12	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	534	13	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	534	14	14	14	CD
work_les4de22qzd4pkbxjnruyovkn4	534	15	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	534	16	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	534	17	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	534	18	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	534	19	before	before	IN
work_les4de22qzd4pkbxjnruyovkn4	534	20	proceeding	proceed	VBG
work_les4de22qzd4pkbxjnruyovkn4	534	21	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	534	22	calculate	calculate	VB
work_les4de22qzd4pkbxjnruyovkn4	534	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	534	24	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	534	25	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	534	26	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	534	27	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	534	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	535	1	To	to	TO
work_les4de22qzd4pkbxjnruyovkn4	535	2	do	do	VB
work_les4de22qzd4pkbxjnruyovkn4	535	3	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	535	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	535	5	update	update	VBP
work_les4de22qzd4pkbxjnruyovkn4	535	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	535	7	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	535	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	535	9	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	535	10	15	15	CD
work_les4de22qzd4pkbxjnruyovkn4	535	11	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	535	12	maps	map	VBZ
work_les4de22qzd4pkbxjnruyovkn4	535	13	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	535	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	535	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	535	16	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	535	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	536	1	First	first	RB
work_les4de22qzd4pkbxjnruyovkn4	536	2	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	536	3	update	update	VBP
work_les4de22qzd4pkbxjnruyovkn4	536	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	536	5	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	536	6	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	536	7	map	map	NN
work_les4de22qzd4pkbxjnruyovkn4	536	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	536	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	536	10	missing	missing	JJ
work_les4de22qzd4pkbxjnruyovkn4	536	11	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	536	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	537	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	537	2	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	537	3	residing	reside	VBG
work_les4de22qzd4pkbxjnruyovkn4	537	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	537	5	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	537	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	537	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	537	8	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	537	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	537	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	537	11	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	537	12	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	537	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	537	14	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	537	15	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	537	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	538	1	Instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	538	2	residing	reside	VBG
work_les4de22qzd4pkbxjnruyovkn4	538	3	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	538	4	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	538	5	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	538	6	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	538	7	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	538	8	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	538	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	538	10	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	538	11	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	538	12	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	538	13	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	538	14	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	538	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	539	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	539	2	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	539	3	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	539	4	map	map	NN
work_les4de22qzd4pkbxjnruyovkn4	539	5	now	now	RB
work_les4de22qzd4pkbxjnruyovkn4	539	6	looks	look	VBZ
work_les4de22qzd4pkbxjnruyovkn4	539	7	like	like	IN
work_les4de22qzd4pkbxjnruyovkn4	539	8	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	539	9	16	16	CD
work_les4de22qzd4pkbxjnruyovkn4	539	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	540	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	540	2	now	now	RB
work_les4de22qzd4pkbxjnruyovkn4	540	3	update	update	VBP
work_les4de22qzd4pkbxjnruyovkn4	540	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	540	5	map	map	NN
work_les4de22qzd4pkbxjnruyovkn4	540	6	again	again	RB
work_les4de22qzd4pkbxjnruyovkn4	540	7	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	540	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	540	9	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	540	10	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	540	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	540	12	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	540	13	14	14	CD
work_les4de22qzd4pkbxjnruyovkn4	540	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	540	15	overwriting	overwrite	VBG
work_les4de22qzd4pkbxjnruyovkn4	540	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	540	17	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	540	18	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	540	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	541	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	541	2	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	541	3	resides	reside	NNS
work_les4de22qzd4pkbxjnruyovkn4	541	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	541	5	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	541	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	541	7	so	so	RB
work_les4de22qzd4pkbxjnruyovkn4	541	8	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	541	9	check	check	VBP
work_les4de22qzd4pkbxjnruyovkn4	541	10	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	541	11	f0	f0	NN
work_les4de22qzd4pkbxjnruyovkn4	541	12	<	<	XX
work_les4de22qzd4pkbxjnruyovkn4	541	13	0.8	0.8	CD
work_les4de22qzd4pkbxjnruyovkn4	541	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	542	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	542	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	542	3	true	true	JJ
work_les4de22qzd4pkbxjnruyovkn4	542	4	so	so	IN
work_les4de22qzd4pkbxjnruyovkn4	542	5	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	542	6	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	542	7	moves	move	NNS
work_les4de22qzd4pkbxjnruyovkn4	542	8	down	down	RP
work_les4de22qzd4pkbxjnruyovkn4	542	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	542	10	left	left	JJ
work_les4de22qzd4pkbxjnruyovkn4	542	11	branch	branch	NN
work_les4de22qzd4pkbxjnruyovkn4	542	12	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	542	13	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	542	14	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	542	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	543	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	543	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	543	3	moves	move	NNS
work_les4de22qzd4pkbxjnruyovkn4	543	4	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	543	5	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	543	6	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	543	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	543	8	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	543	9	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	543	10	moves	move	NNS
work_les4de22qzd4pkbxjnruyovkn4	543	11	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	543	12	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	543	13	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	543	14	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	543	15	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	543	16	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	543	17	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	543	18	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	543	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	544	1	Note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	544	2	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	544	3	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	544	4	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	544	5	has	have	VBZ
work_les4de22qzd4pkbxjnruyovkn4	544	6	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	544	7	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	544	8	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	544	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	544	10	f0	f0	NN
work_les4de22qzd4pkbxjnruyovkn4	544	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	545	1	Its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	545	2	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	545	3	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	545	4	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	545	5	therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	545	6	kept	keep	VBN
work_les4de22qzd4pkbxjnruyovkn4	545	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	545	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	545	9	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	545	10	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	545	11	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	545	12	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	545	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	545	14	previous	previous	JJ
work_les4de22qzd4pkbxjnruyovkn4	545	15	step	step	NN
work_les4de22qzd4pkbxjnruyovkn4	545	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	546	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	546	2	process	process	NN
work_les4de22qzd4pkbxjnruyovkn4	546	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	546	4	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	546	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	546	6	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	546	7	17	17	CD
work_les4de22qzd4pkbxjnruyovkn4	546	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	547	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	547	2	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	547	3	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	547	4	node	node	RB
work_les4de22qzd4pkbxjnruyovkn4	547	5	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	547	6	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	547	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	547	8	now	now	RB
work_les4de22qzd4pkbxjnruyovkn4	547	9	up	up	RB
work_les4de22qzd4pkbxjnruyovkn4	547	10	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	547	11	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	547	12	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	547	13	date	date	NN
work_les4de22qzd4pkbxjnruyovkn4	547	14	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	547	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	547	16	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	547	17	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	547	18	so	so	RB
work_les4de22qzd4pkbxjnruyovkn4	547	19	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	547	20	write	write	VBP
work_les4de22qzd4pkbxjnruyovkn4	547	21	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	547	22	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	547	23	back	back	RB
work_les4de22qzd4pkbxjnruyovkn4	547	24	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	547	25	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	547	26	per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	547	27	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	547	28	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	547	29	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	547	30	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	547	31	giving	give	VBG
work_les4de22qzd4pkbxjnruyovkn4	547	32	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	547	33	18	18	CD
work_les4de22qzd4pkbxjnruyovkn4	547	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	548	1	Phase	phase	NN
work_les4de22qzd4pkbxjnruyovkn4	548	2	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	548	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	548	4	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	548	5	node	node	NNP
work_les4de22qzd4pkbxjnruyovkn4	548	6	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	548	7	If	if	IN
work_les4de22qzd4pkbxjnruyovkn4	548	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	548	9	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	548	10	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	548	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	548	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	548	13	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	548	14	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	548	15	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	548	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	548	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	548	18	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	548	19	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	548	20	need	need	VBP
work_les4de22qzd4pkbxjnruyovkn4	548	21	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	548	22	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	548	23	sorted	sort	VBN
work_les4de22qzd4pkbxjnruyovkn4	548	24	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	548	25	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	548	26	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	548	27	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	549	1	If	if	IN
work_les4de22qzd4pkbxjnruyovkn4	549	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	549	3	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	549	4	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	549	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	549	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	549	7	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	549	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	549	9	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	549	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	549	11	e.g.	e.g.	RB
work_les4de22qzd4pkbxjnruyovkn4	550	1	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	550	2	early	early	JJ
work_les4de22qzd4pkbxjnruyovkn4	550	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	550	4	levels	level	NNS
work_les4de22qzd4pkbxjnruyovkn4	550	5	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	550	6	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	550	7	step	step	NN
work_les4de22qzd4pkbxjnruyovkn4	550	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	550	9	unnecessary	unnecessary	JJ
work_les4de22qzd4pkbxjnruyovkn4	550	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	551	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	551	2	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	551	3	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	551	4	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	551	5	its	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	551	6	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	551	7	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	551	8	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	551	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	551	10	sorted	sort	VBN
work_les4de22qzd4pkbxjnruyovkn4	551	11	such	such	JJ
work_les4de22qzd4pkbxjnruyovkn4	551	12	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	551	13	8	8	CD
work_les4de22qzd4pkbxjnruyovkn4	551	14	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	551	15	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	551	16	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	551	17	four	four	CD
work_les4de22qzd4pkbxjnruyovkn4	551	18	new	new	JJ
work_les4de22qzd4pkbxjnruyovkn4	551	19	leaves	leave	NNS
work_les4de22qzd4pkbxjnruyovkn4	551	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	552	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	552	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	552	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	552	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	552	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	552	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	552	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	552	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	552	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	552	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	553	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	553	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	553	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	553	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	553	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	553	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	553	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	553	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	553	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	553	10	29/37	29/37	CD
work_les4de22qzd4pkbxjnruyovkn4	553	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	553	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	VBZ
work_les4de22qzd4pkbxjnruyovkn4	553	13	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	553	14	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	553	15	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	553	16	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	553	17	resides	reside	NNS
work_les4de22qzd4pkbxjnruyovkn4	553	18	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	553	19	contiguous	contiguous	JJ
work_les4de22qzd4pkbxjnruyovkn4	553	20	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	553	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	554	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	554	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	554	3	achieved	achieve	VBN
work_les4de22qzd4pkbxjnruyovkn4	554	4	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	554	5	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	554	6	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	554	7	key	key	NN
work_les4de22qzd4pkbxjnruyovkn4	554	8	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	554	9	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	554	10	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	554	11	sort	sort	NNP
work_les4de22qzd4pkbxjnruyovkn4	554	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	555	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	555	2	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	555	3	represents	represent	VBZ
work_les4de22qzd4pkbxjnruyovkn4	555	4	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	555	5	segment	segment	NN
work_les4de22qzd4pkbxjnruyovkn4	555	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	555	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	555	8	sort	sort	NN
work_les4de22qzd4pkbxjnruyovkn4	555	9	key	key	NN
work_les4de22qzd4pkbxjnruyovkn4	555	10	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	555	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	555	12	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	555	13	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	555	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	555	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	555	16	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	555	17	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	555	18	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	555	19	instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	555	20	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	555	21	tuple	tuple	NN
work_les4de22qzd4pkbxjnruyovkn4	555	22	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	555	23	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	555	24	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	555	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	556	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	556	2	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	556	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	556	4	segmented	segmented	JJ
work_les4de22qzd4pkbxjnruyovkn4	556	5	radix	radix	NN
work_les4de22qzd4pkbxjnruyovkn4	556	6	sort	sort	RB
work_les4de22qzd4pkbxjnruyovkn4	556	7	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	556	8	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	556	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	556	10	CUB	CUB	NNP
work_les4de22qzd4pkbxjnruyovkn4	556	11	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	556	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	557	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	557	2	delegates	delegate	VBZ
work_les4de22qzd4pkbxjnruyovkn4	557	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	557	4	sorting	sorting	NN
work_les4de22qzd4pkbxjnruyovkn4	557	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	557	6	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	557	7	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	557	8	segment	segment	NN
work_les4de22qzd4pkbxjnruyovkn4	557	9	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	557	10	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	557	11	separate	separate	JJ
work_les4de22qzd4pkbxjnruyovkn4	557	12	thread	thread	NN
work_les4de22qzd4pkbxjnruyovkn4	557	13	block	block	NN
work_les4de22qzd4pkbxjnruyovkn4	557	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	558	1	Note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	558	2	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	558	3	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	558	4	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	558	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	558	6	stable	stable	JJ
work_les4de22qzd4pkbxjnruyovkn4	558	7	so	so	IN
work_les4de22qzd4pkbxjnruyovkn4	558	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	558	9	original	original	JJ
work_les4de22qzd4pkbxjnruyovkn4	558	10	sorted	sorted	JJ
work_les4de22qzd4pkbxjnruyovkn4	558	11	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	558	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	558	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	558	14	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	558	15	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	558	16	will	will	MD
work_les4de22qzd4pkbxjnruyovkn4	558	17	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	558	18	preserved	preserve	VBN
work_les4de22qzd4pkbxjnruyovkn4	558	19	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	558	20	contiguous	contiguous	JJ
work_les4de22qzd4pkbxjnruyovkn4	558	21	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	558	22	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	558	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	558	24	after	after	IN
work_les4de22qzd4pkbxjnruyovkn4	558	25	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	558	26	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	558	27	node	node	JJ
work_les4de22qzd4pkbxjnruyovkn4	558	28	position	position	NN
work_les4de22qzd4pkbxjnruyovkn4	558	29	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	558	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	558	31	key	key	NN
work_les4de22qzd4pkbxjnruyovkn4	558	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	559	1	EVALUATION	evaluation	VB
work_les4de22qzd4pkbxjnruyovkn4	559	2	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	559	3	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	559	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	559	5	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	559	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	559	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	559	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	559	9	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	559	10	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	559	11	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	559	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	559	13	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	559	14	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	559	15	evaluated	evaluate	VBN
work_les4de22qzd4pkbxjnruyovkn4	559	16	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	559	17	several	several	JJ
work_les4de22qzd4pkbxjnruyovkn4	559	18	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	559	19	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	559	20	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	559	21	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	559	22	different	different	JJ
work_les4de22qzd4pkbxjnruyovkn4	559	23	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	559	24	configurations	configuration	NNS
work_les4de22qzd4pkbxjnruyovkn4	559	25	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	559	26	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	559	27	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	559	28	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	559	29	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	559	30	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	559	31	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	559	32	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	559	33	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	559	34	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	559	35	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	559	36	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	559	37	Intel	Intel	NNP
work_les4de22qzd4pkbxjnruyovkn4	559	38	processor	processor	NN
work_les4de22qzd4pkbxjnruyovkn4	559	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	560	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	560	2	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	560	3	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	560	4	14	14	CD
work_les4de22qzd4pkbxjnruyovkn4	560	5	Per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	560	6	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	560	7	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	560	8	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	560	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	561	1	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	561	2	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	561	3	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	561	4	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	561	5	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	561	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	561	7	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	561	8	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	561	9	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	561	10	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	561	11	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	561	12	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	561	13	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	561	14	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	561	15	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	561	16	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	561	17	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	561	18	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	561	19	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	561	20	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	561	21	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	561	22	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	561	23	Feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	561	24	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	561	25	0.75	0.75	CD
work_les4de22qzd4pkbxjnruyovkn4	561	26	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	561	27	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	561	28	2.7	2.7	CD
work_les4de22qzd4pkbxjnruyovkn4	561	29	4.1	4.1	CD
work_les4de22qzd4pkbxjnruyovkn4	561	30	3.6	3.6	CD
work_les4de22qzd4pkbxjnruyovkn4	561	31	3.9	3.9	CD
work_les4de22qzd4pkbxjnruyovkn4	561	32	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	561	33	15	15	CD
work_les4de22qzd4pkbxjnruyovkn4	561	34	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	561	35	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	561	36	map	map	NN
work_les4de22qzd4pkbxjnruyovkn4	561	37	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	562	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	562	2	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	562	3	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	562	4	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	562	5	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	562	6	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	562	7	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	562	8	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	562	9	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	562	10	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	562	11	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	562	12	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	562	13	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	562	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	562	15	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	562	16	16	16	CD
work_les4de22qzd4pkbxjnruyovkn4	562	17	Updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	562	18	missing	miss	VBG
work_les4de22qzd4pkbxjnruyovkn4	562	19	direction	direction	NN
work_les4de22qzd4pkbxjnruyovkn4	562	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	563	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	563	2	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	563	3	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	563	4	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	563	5	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	563	6	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	563	7	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	563	8	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	563	9	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	563	10	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	563	11	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	563	12	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	563	13	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	563	14	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	563	15	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	563	16	17	17	CD
work_les4de22qzd4pkbxjnruyovkn4	563	17	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	563	18	ID	ID	NNP
work_les4de22qzd4pkbxjnruyovkn4	563	19	map	map	NN
work_les4de22qzd4pkbxjnruyovkn4	563	20	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	563	21	update	update	NN
work_les4de22qzd4pkbxjnruyovkn4	563	22	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	563	23	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	563	24	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	563	25	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	563	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	564	1	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	564	2	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	564	3	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	564	4	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	564	5	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	6	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	7	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	564	8	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	564	9	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	564	10	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	564	11	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	564	12	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	564	13	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	564	14	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	564	15	f0	f0	NN
work_les4de22qzd4pkbxjnruyovkn4	564	16	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	564	17	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	564	18	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	564	19	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	564	20	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	21	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	22	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	23	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	24	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	25	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	26	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	27	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	564	28	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	564	29	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	564	30	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	564	31	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	32	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	33	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	564	34	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	35	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	36	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	564	37	Feature	Feature	NNP
work_les4de22qzd4pkbxjnruyovkn4	564	38	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	564	39	0.75	0.75	CD
work_les4de22qzd4pkbxjnruyovkn4	564	40	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	564	41	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	564	42	2.7	2.7	CD
work_les4de22qzd4pkbxjnruyovkn4	564	43	4.1	4.1	CD
work_les4de22qzd4pkbxjnruyovkn4	564	44	3.6	3.6	CD
work_les4de22qzd4pkbxjnruyovkn4	564	45	3.9	3.9	CD
work_les4de22qzd4pkbxjnruyovkn4	564	46	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	564	47	18	18	CD
work_les4de22qzd4pkbxjnruyovkn4	564	48	Per	per	IN
work_les4de22qzd4pkbxjnruyovkn4	564	49	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	564	50	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	564	51	array	array	NN
work_les4de22qzd4pkbxjnruyovkn4	564	52	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	564	53	updated	update	VBN
work_les4de22qzd4pkbxjnruyovkn4	564	54	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	565	1	f0	f0	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	2	f1	f1	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	3	Node	Node	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	4	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	565	5	d	d	DT
work_les4de22qzd4pkbxjnruyovkn4	565	6	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	565	7	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	565	8	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	565	9	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	565	10	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	565	11	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	565	12	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	565	13	Instance	instance	NN
work_les4de22qzd4pkbxjnruyovkn4	565	14	i	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	565	15	d	d	NN
work_les4de22qzd4pkbxjnruyovkn4	565	16	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	565	17	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	565	18	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	565	19	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	565	20	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	565	21	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	565	22	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	565	23	Feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	565	24	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	565	25	0.75	0.75	CD
work_les4de22qzd4pkbxjnruyovkn4	565	26	0.5	0.5	CD
work_les4de22qzd4pkbxjnruyovkn4	565	27	0.9	0.9	CD
work_les4de22qzd4pkbxjnruyovkn4	565	28	2.7	2.7	CD
work_les4de22qzd4pkbxjnruyovkn4	565	29	4.1	4.1	CD
work_les4de22qzd4pkbxjnruyovkn4	565	30	3.6	3.6	CD
work_les4de22qzd4pkbxjnruyovkn4	565	31	3.9	3.9	CD
work_les4de22qzd4pkbxjnruyovkn4	565	32	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	33	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	565	34	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	35	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	565	36	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	565	37	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	565	38	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	565	39	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	40	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	565	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	566	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	566	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	566	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	566	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	566	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	566	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	566	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	566	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	566	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	566	10	30/37	30/37	CD
work_les4de22qzd4pkbxjnruyovkn4	566	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	SYM
work_les4de22qzd4pkbxjnruyovkn4	566	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	566	13	configurations	configuration	NNS
work_les4de22qzd4pkbxjnruyovkn4	566	14	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	566	15	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	566	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	566	17	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	566	18	19	19	CD
work_les4de22qzd4pkbxjnruyovkn4	566	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	567	1	On	on	IN
work_les4de22qzd4pkbxjnruyovkn4	567	2	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	567	3	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	567	4	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	567	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	567	6	where	where	WRB
work_les4de22qzd4pkbxjnruyovkn4	567	7	there	there	EX
work_les4de22qzd4pkbxjnruyovkn4	567	8	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	567	9	limited	limited	JJ
work_les4de22qzd4pkbxjnruyovkn4	567	10	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	567	11	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	567	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	567	13	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	567	14	subset	subset	NN
work_les4de22qzd4pkbxjnruyovkn4	567	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	567	16	rows	row	NNS
work_les4de22qzd4pkbxjnruyovkn4	567	17	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	567	18	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	567	19	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	567	20	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	567	21	taken	take	VBN
work_les4de22qzd4pkbxjnruyovkn4	567	22	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	567	23	order	order	NN
work_les4de22qzd4pkbxjnruyovkn4	567	24	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	567	25	fit	fit	VB
work_les4de22qzd4pkbxjnruyovkn4	567	26	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	567	27	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	567	28	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	567	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	568	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	568	2	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	568	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	568	4	described	describe	VBN
work_les4de22qzd4pkbxjnruyovkn4	568	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	568	6	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	568	7	20	20	CD
work_les4de22qzd4pkbxjnruyovkn4	568	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	568	9	parameters	parameter	NNS
work_les4de22qzd4pkbxjnruyovkn4	568	10	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	568	11	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	568	12	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	568	13	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	568	14	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	568	15	shown	show	VBN
work_les4de22qzd4pkbxjnruyovkn4	568	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	568	17	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	568	18	21	21	CD
work_les4de22qzd4pkbxjnruyovkn4	568	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	569	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	569	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	569	3	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	569	4	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	569	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	569	6	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	569	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	569	8	supplied	supplied	JJ
work_les4de22qzd4pkbxjnruyovkn4	569	9	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	569	10	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	569	11	test	test	NN
work_les4de22qzd4pkbxjnruyovkn4	569	12	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	569	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	570	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	570	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	570	3	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	570	4	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	570	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	570	6	randomly	randomly	RB
work_les4de22qzd4pkbxjnruyovkn4	570	7	select	select	VB
work_les4de22qzd4pkbxjnruyovkn4	570	8	5,00,000	5,00,000	CD
work_les4de22qzd4pkbxjnruyovkn4	570	9	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	570	10	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	570	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	570	12	test	test	NN
work_les4de22qzd4pkbxjnruyovkn4	570	13	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	570	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	570	15	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	570	16	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	570	17	Chen	Chen	NNP
work_les4de22qzd4pkbxjnruyovkn4	570	18	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	570	19	Guestrin	Guestrin	NNP
work_les4de22qzd4pkbxjnruyovkn4	570	20	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	570	21	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	570	22	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	570	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	571	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	571	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	571	3	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	571	4	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	571	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	571	6	randomly	randomly	RB
work_les4de22qzd4pkbxjnruyovkn4	571	7	sample	sample	VB
work_les4de22qzd4pkbxjnruyovkn4	571	8	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	571	9	%	%	NN
work_les4de22qzd4pkbxjnruyovkn4	571	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	571	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	571	12	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	571	13	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	571	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	571	15	test	test	NN
work_les4de22qzd4pkbxjnruyovkn4	571	16	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	571	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	571	18	use	use	VB
work_les4de22qzd4pkbxjnruyovkn4	571	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	571	20	rest	rest	NN
work_les4de22qzd4pkbxjnruyovkn4	571	21	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	571	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	571	23	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	571	24	set	set	NN
work_les4de22qzd4pkbxjnruyovkn4	571	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	572	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	572	2	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	572	3	500	500	CD
work_les4de22qzd4pkbxjnruyovkn4	572	4	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	572	5	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	572	6	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	572	7	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	572	8	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	572	9	unless	unless	IN
work_les4de22qzd4pkbxjnruyovkn4	572	10	otherwise	otherwise	RB
work_les4de22qzd4pkbxjnruyovkn4	572	11	specified	specify	VBN
work_les4de22qzd4pkbxjnruyovkn4	572	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	573	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	573	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	573	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	573	4	common	common	JJ
work_les4de22qzd4pkbxjnruyovkn4	573	5	real	real	JJ
work_les4de22qzd4pkbxjnruyovkn4	573	6	world	world	NN
work_les4de22qzd4pkbxjnruyovkn4	573	7	setting	set	VBG
work_les4de22qzd4pkbxjnruyovkn4	573	8	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	573	9	provides	provide	VBZ
work_les4de22qzd4pkbxjnruyovkn4	573	10	sufficiently	sufficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	573	11	long	long	JJ
work_les4de22qzd4pkbxjnruyovkn4	573	12	run	run	NN
work_les4de22qzd4pkbxjnruyovkn4	573	13	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	573	14	times	time	NNS
work_les4de22qzd4pkbxjnruyovkn4	573	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	573	16	benchmarking	benchmarking	NN
work_les4de22qzd4pkbxjnruyovkn4	573	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	574	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	574	2	set	set	VBP
work_les4de22qzd4pkbxjnruyovkn4	574	3	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	574	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	574	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	574	6	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	574	7	rate	rate	NN
work_les4de22qzd4pkbxjnruyovkn4	574	8	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	574	9	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	574	10	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	574	11	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	574	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	574	13	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	574	14	default	default	NN
work_les4de22qzd4pkbxjnruyovkn4	574	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	574	16	0.3	0.3	CD
work_les4de22qzd4pkbxjnruyovkn4	574	17	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	574	18	too	too	RB
work_les4de22qzd4pkbxjnruyovkn4	574	19	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	574	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	574	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	574	22	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	574	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	574	24	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	574	25	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	574	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	575	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	575	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	575	3	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	575	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	575	5	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	575	6	datasets	dataset	VBZ
work_les4de22qzd4pkbxjnruyovkn4	575	7	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	575	8	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	575	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	575	10	default	default	NN
work_les4de22qzd4pkbxjnruyovkn4	575	11	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	575	12	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	575	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	575	14	six	six	CD
work_les4de22qzd4pkbxjnruyovkn4	575	15	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	575	16	both	both	DT
work_les4de22qzd4pkbxjnruyovkn4	575	17	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	575	18	these	these	DT
work_les4de22qzd4pkbxjnruyovkn4	575	19	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	575	20	tend	tend	VBP
work_les4de22qzd4pkbxjnruyovkn4	575	21	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	575	22	generate	generate	VB
work_les4de22qzd4pkbxjnruyovkn4	575	23	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	575	24	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	575	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	576	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	576	2	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	576	3	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	576	4	results	result	NNS
work_les4de22qzd4pkbxjnruyovkn4	576	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	576	6	larger	large	JJR
work_les4de22qzd4pkbxjnruyovkn4	576	7	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	576	8	so	so	IN
work_les4de22qzd4pkbxjnruyovkn4	576	9	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	576	10	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	576	11	set	set	VB
work_les4de22qzd4pkbxjnruyovkn4	576	12	max	max	NNP
work_les4de22qzd4pkbxjnruyovkn4	576	13	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	576	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	576	15	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	576	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	576	17	allowing	allow	VBG
work_les4de22qzd4pkbxjnruyovkn4	576	18	us	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	576	19	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	576	20	test	test	VB
work_les4de22qzd4pkbxjnruyovkn4	576	21	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	576	22	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	576	23	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	576	24	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	576	25	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	577	1	Both	both	DT
work_les4de22qzd4pkbxjnruyovkn4	577	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	577	3	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	577	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	577	5	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	577	6	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	577	7	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	577	8	binary	binary	JJ
work_les4de22qzd4pkbxjnruyovkn4	577	9	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	577	10	problems	problem	NNS
work_les4de22qzd4pkbxjnruyovkn4	577	11	so	so	IN
work_les4de22qzd4pkbxjnruyovkn4	577	12	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	577	13	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	577	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	577	15	binary	binary	NN
work_les4de22qzd4pkbxjnruyovkn4	577	16	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	577	17	logistic	logistic	JJ
work_les4de22qzd4pkbxjnruyovkn4	577	18	objective	objective	JJ
work_les4de22qzd4pkbxjnruyovkn4	577	19	function	function	NN
work_les4de22qzd4pkbxjnruyovkn4	577	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	577	21	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	577	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	578	1	Both	both	DT
work_les4de22qzd4pkbxjnruyovkn4	578	2	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	578	3	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	578	4	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	578	5	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	578	6	exhibit	exhibit	VB
work_les4de22qzd4pkbxjnruyovkn4	578	7	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	578	8	imbalanced	imbalanced	JJ
work_les4de22qzd4pkbxjnruyovkn4	578	9	class	class	NN
work_les4de22qzd4pkbxjnruyovkn4	578	10	distributions	distribution	NNS
work_les4de22qzd4pkbxjnruyovkn4	578	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	578	12	so	so	CC
work_les4de22qzd4pkbxjnruyovkn4	578	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	578	14	AUC	AUC	NNP
work_les4de22qzd4pkbxjnruyovkn4	578	15	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	578	16	area	area	NN
work_les4de22qzd4pkbxjnruyovkn4	578	17	under	under	IN
work_les4de22qzd4pkbxjnruyovkn4	578	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	578	19	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	578	20	19	19	CD
work_les4de22qzd4pkbxjnruyovkn4	578	21	Hardware	Hardware	NNP
work_les4de22qzd4pkbxjnruyovkn4	578	22	configurations	configuration	NNS
work_les4de22qzd4pkbxjnruyovkn4	578	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	579	1	Configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	579	2	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	579	3	GHz	GHz	NNS
work_les4de22qzd4pkbxjnruyovkn4	579	4	Cores	core	NNS
work_les4de22qzd4pkbxjnruyovkn4	579	5	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	579	6	arch	arch	JJ
work_les4de22qzd4pkbxjnruyovkn4	579	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	580	1	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	580	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	580	3	Intel	Intel	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	4	i5	i5	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	5	-	-	:
work_les4de22qzd4pkbxjnruyovkn4	580	6	4590	4590	CD
work_les4de22qzd4pkbxjnruyovkn4	580	7	3.30	3.30	CD
work_les4de22qzd4pkbxjnruyovkn4	580	8	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	580	9	Haswell	Haswell	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	10	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	580	11	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	580	12	Intel	Intel	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	13	i7	i7	NN
work_les4de22qzd4pkbxjnruyovkn4	580	14	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	580	15	6700	6700	CD
work_les4de22qzd4pkbxjnruyovkn4	580	16	K	K	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	17	4.00	4.00	CD
work_les4de22qzd4pkbxjnruyovkn4	580	18	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	580	19	Skylake	Skylake	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	20	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	580	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	580	22	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	580	23	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	24	Intel	Intel	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	25	Xeon	Xeon	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	26	E5	E5	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	27	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	580	28	2695	2695	CD
work_les4de22qzd4pkbxjnruyovkn4	580	29	v2	v2	NN
work_les4de22qzd4pkbxjnruyovkn4	580	30	2.40	2.40	CD
work_les4de22qzd4pkbxjnruyovkn4	580	31	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	580	32	Ivy	Ivy	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	33	Bridge	Bridge	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	34	Configuration	Configuration	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	35	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	36	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	37	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	580	38	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	580	39	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	40	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	580	41	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	580	42	arch	arch	VBP
work_les4de22qzd4pkbxjnruyovkn4	580	43	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	581	1	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	581	2	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	581	3	GTX970	GTX970	NNP
work_les4de22qzd4pkbxjnruyovkn4	581	4	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	581	5	Maxwell	Maxwell	NNP
work_les4de22qzd4pkbxjnruyovkn4	581	6	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	581	7	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	581	8	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	581	9	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	581	10	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	581	11	Pascal	pascal	JJ
work_les4de22qzd4pkbxjnruyovkn4	581	12	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	581	13	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	581	14	–	–	:
work_les4de22qzd4pkbxjnruyovkn4	581	15	–	–	:
work_les4de22qzd4pkbxjnruyovkn4	581	16	–	–	:
work_les4de22qzd4pkbxjnruyovkn4	581	17	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	581	18	20	20	CD
work_les4de22qzd4pkbxjnruyovkn4	581	19	Datasets	Datasets	NNPS
work_les4de22qzd4pkbxjnruyovkn4	581	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	582	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	582	2	Training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	582	3	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	582	4	Test	test	NN
work_les4de22qzd4pkbxjnruyovkn4	582	5	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	582	6	Features	Features	NNP
work_les4de22qzd4pkbxjnruyovkn4	582	7	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	582	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	582	9	473,134	473,134	CD
work_les4de22qzd4pkbxjnruyovkn4	582	10	165,660	165,660	CD
work_les4de22qzd4pkbxjnruyovkn4	582	11	700	700	CD
work_les4de22qzd4pkbxjnruyovkn4	582	12	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	582	13	b	b	CD
work_les4de22qzd4pkbxjnruyovkn4	582	14	10,500,000	10,500,000	CD
work_les4de22qzd4pkbxjnruyovkn4	582	15	500,000	500,000	CD
work_les4de22qzd4pkbxjnruyovkn4	582	16	28	28	CD
work_les4de22qzd4pkbxjnruyovkn4	582	17	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	582	18	c	c	NNP
work_les4de22qzd4pkbxjnruyovkn4	582	19	1,065,373	1,065,373	CD
work_les4de22qzd4pkbxjnruyovkn4	582	20	118,374	118,374	CD
work_les4de22qzd4pkbxjnruyovkn4	582	21	968	968	CD
work_les4de22qzd4pkbxjnruyovkn4	582	22	Notes	note	NNS
work_les4de22qzd4pkbxjnruyovkn4	582	23	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	582	24	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	582	25	https://webscope.sandbox.yahoo.com/catalog.php?datatype=c	https://webscope.sandbox.yahoo.com/catalog.php?datatype=c	NN
work_les4de22qzd4pkbxjnruyovkn4	582	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	583	1	b	b	LS
work_les4de22qzd4pkbxjnruyovkn4	583	2	https://archive.ics.uci.edu/ml/datasets/HIGGS	https://archive.ics.uci.edu/ml/datasets/HIGGS	NNP
work_les4de22qzd4pkbxjnruyovkn4	583	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	584	1	c	c	NNP
work_les4de22qzd4pkbxjnruyovkn4	584	2	https://www.kaggle.com/c/bosch-production-line-performance/data	https://www.kaggle.com/c/bosch-production-line-performance/data	NNP
work_les4de22qzd4pkbxjnruyovkn4	584	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	585	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	585	2	21	21	CD
work_les4de22qzd4pkbxjnruyovkn4	585	3	Parameters	Parameters	NNPS
work_les4de22qzd4pkbxjnruyovkn4	585	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	586	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	2	Objective	Objective	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	3	eval_metric	eval_metric	NN
work_les4de22qzd4pkbxjnruyovkn4	586	4	max_depth	max_depth	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	5	Eta	Eta	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	6	Boosting	Boosting	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	7	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	586	8	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	9	rank	rank	NN
work_les4de22qzd4pkbxjnruyovkn4	586	10	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	586	11	ndcg	ndcg	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	12	ndcg@10	ndcg@10	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	13	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	586	14	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	586	15	500	500	CD
work_les4de22qzd4pkbxjnruyovkn4	586	16	Higgs	higgs	NN
work_les4de22qzd4pkbxjnruyovkn4	586	17	binary	binary	NN
work_les4de22qzd4pkbxjnruyovkn4	586	18	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	586	19	logistic	logistic	JJ
work_les4de22qzd4pkbxjnruyovkn4	586	20	auc	auc	NN
work_les4de22qzd4pkbxjnruyovkn4	586	21	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	586	22	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	586	23	500	500	CD
work_les4de22qzd4pkbxjnruyovkn4	586	24	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	25	binary	binary	NN
work_les4de22qzd4pkbxjnruyovkn4	586	26	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	586	27	logistic	logistic	JJ
work_les4de22qzd4pkbxjnruyovkn4	586	28	auc	auc	NN
work_les4de22qzd4pkbxjnruyovkn4	586	29	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	586	30	0.1	0.1	CD
work_les4de22qzd4pkbxjnruyovkn4	586	31	500	500	CD
work_les4de22qzd4pkbxjnruyovkn4	586	32	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	33	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	586	34	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	35	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	586	36	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	586	37	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	586	38	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	586	39	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	40	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	586	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	587	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	587	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	587	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	587	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	587	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	10	31/37	31/37	CD
work_les4de22qzd4pkbxjnruyovkn4	587	11	https://webscope.sandbox.yahoo.com/catalog.php?datatype=c	https://webscope.sandbox.yahoo.com/catalog.php?datatype=c	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	12	https://archive.ics.uci.edu/ml/datasets/HIGGS	https://archive.ics.uci.edu/ml/datasets/HIGGS	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	13	https://www.kaggle.com/c/bosch-production-line-performance/data	https://www.kaggle.com/c/bosch-production-line-performance/data	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	14	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	NFP
work_les4de22qzd4pkbxjnruyovkn4	587	15	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	16	ROC	ROC	NNP
work_les4de22qzd4pkbxjnruyovkn4	587	17	curve	curve	NN
work_les4de22qzd4pkbxjnruyovkn4	587	18	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	587	19	evaluation	evaluation	NN
work_les4de22qzd4pkbxjnruyovkn4	587	20	metric	metric	NN
work_les4de22qzd4pkbxjnruyovkn4	587	21	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	587	22	appropriate	appropriate	JJ
work_les4de22qzd4pkbxjnruyovkn4	587	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	588	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	588	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	588	3	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	588	4	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	588	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	588	6	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	588	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	588	8	rank	rank	NN
work_les4de22qzd4pkbxjnruyovkn4	588	9	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	588	10	ndcg	ndcg	NNP
work_les4de22qzd4pkbxjnruyovkn4	588	11	objective	objective	NNP
work_les4de22qzd4pkbxjnruyovkn4	588	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	588	13	ndcg@10	ndcg@10	JJ
work_les4de22qzd4pkbxjnruyovkn4	588	14	evaluation	evaluation	NN
work_les4de22qzd4pkbxjnruyovkn4	588	15	metric	metric	JJ
work_les4de22qzd4pkbxjnruyovkn4	588	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	588	17	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	588	18	consistent	consistent	JJ
work_les4de22qzd4pkbxjnruyovkn4	588	19	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	588	20	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	588	21	evaluation	evaluation	NN
work_les4de22qzd4pkbxjnruyovkn4	588	22	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	588	23	Chen	Chen	NNP
work_les4de22qzd4pkbxjnruyovkn4	588	24	&	&	CC
work_les4de22qzd4pkbxjnruyovkn4	588	25	Guestrin	Guestrin	NNP
work_les4de22qzd4pkbxjnruyovkn4	588	26	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	588	27	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	588	28	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	588	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	589	1	All	all	DT
work_les4de22qzd4pkbxjnruyovkn4	589	2	other	other	JJ
work_les4de22qzd4pkbxjnruyovkn4	589	3	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	589	4	parameters	parameter	NNS
work_les4de22qzd4pkbxjnruyovkn4	589	5	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	589	6	left	leave	VBN
work_les4de22qzd4pkbxjnruyovkn4	589	7	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	589	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	589	9	default	default	NN
work_les4de22qzd4pkbxjnruyovkn4	589	10	values	value	NNS
work_les4de22qzd4pkbxjnruyovkn4	589	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	590	1	Accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	590	2	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	590	3	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	590	4	22	22	CD
work_les4de22qzd4pkbxjnruyovkn4	590	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	590	6	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	590	7	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	590	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	590	9	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	590	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	590	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	590	12	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	590	13	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	590	14	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	590	15	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	590	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	590	17	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	590	18	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	590	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	591	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	591	2	test	test	VBP
work_les4de22qzd4pkbxjnruyovkn4	591	3	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	591	4	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	591	5	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	591	6	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	591	7	so	so	RB
work_les4de22qzd4pkbxjnruyovkn4	591	8	use	use	VB
work_les4de22qzd4pkbxjnruyovkn4	591	9	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	591	10	subset	subset	NN
work_les4de22qzd4pkbxjnruyovkn4	591	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	591	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	591	13	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	591	14	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	591	15	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	591	16	fit	fit	VB
work_les4de22qzd4pkbxjnruyovkn4	591	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	591	18	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	591	19	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	591	20	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	591	21	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	591	22	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	591	23	use	use	VBP
work_les4de22qzd4pkbxjnruyovkn4	591	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	591	25	full	full	JJ
work_les4de22qzd4pkbxjnruyovkn4	591	26	test	test	NN
work_les4de22qzd4pkbxjnruyovkn4	591	27	set	set	VBN
work_les4de22qzd4pkbxjnruyovkn4	591	28	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	591	29	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	591	30	evaluation	evaluation	NN
work_les4de22qzd4pkbxjnruyovkn4	591	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	592	1	There	there	EX
work_les4de22qzd4pkbxjnruyovkn4	592	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	592	3	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	592	4	minor	minor	JJ
work_les4de22qzd4pkbxjnruyovkn4	592	5	variation	variation	NN
work_les4de22qzd4pkbxjnruyovkn4	592	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	592	7	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	592	8	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	592	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	592	10	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	592	11	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	592	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	593	1	Both	both	DT
work_les4de22qzd4pkbxjnruyovkn4	593	2	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	593	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	593	4	equivalent	equivalent	JJ
work_les4de22qzd4pkbxjnruyovkn4	593	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	593	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	593	7	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	593	8	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	593	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	593	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	593	11	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	593	12	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	593	13	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	593	14	marginally	marginally	RB
work_les4de22qzd4pkbxjnruyovkn4	593	15	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	593	16	accurate	accurate	JJ
work_les4de22qzd4pkbxjnruyovkn4	593	17	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	593	18	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	593	19	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	593	20	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	593	21	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	593	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	593	23	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	593	24	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	593	25	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	593	26	marginally	marginally	RB
work_les4de22qzd4pkbxjnruyovkn4	593	27	more	more	RBR
work_les4de22qzd4pkbxjnruyovkn4	593	28	accurate	accurate	JJ
work_les4de22qzd4pkbxjnruyovkn4	593	29	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	593	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	593	31	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	593	32	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	593	33	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	594	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	594	2	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	594	3	23	23	CD
work_les4de22qzd4pkbxjnruyovkn4	594	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	594	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	594	6	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	594	7	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	594	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	594	9	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	594	10	without	without	IN
work_les4de22qzd4pkbxjnruyovkn4	594	11	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	594	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	594	13	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	594	14	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	594	15	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	594	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	594	17	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	594	18	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	594	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	595	1	Variations	variation	NNS
work_les4de22qzd4pkbxjnruyovkn4	595	2	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	595	3	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	595	4	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	595	5	attributable	attributable	JJ
work_les4de22qzd4pkbxjnruyovkn4	595	6	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	595	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	595	8	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	595	9	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	595	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	595	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	595	12	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	595	13	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	595	14	choosing	choose	VBG
work_les4de22qzd4pkbxjnruyovkn4	595	15	splits	split	NNS
work_les4de22qzd4pkbxjnruyovkn4	595	16	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	595	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	595	18	halfway	halfway	NN
work_les4de22qzd4pkbxjnruyovkn4	595	19	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	595	20	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	595	21	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	595	22	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	595	23	examples	example	NNS
work_les4de22qzd4pkbxjnruyovkn4	595	24	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	595	25	instead	instead	RB
work_les4de22qzd4pkbxjnruyovkn4	595	26	choosing	choose	VBG
work_les4de22qzd4pkbxjnruyovkn4	595	27	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	595	28	split	split	NN
work_les4de22qzd4pkbxjnruyovkn4	595	29	value	value	NN
work_les4de22qzd4pkbxjnruyovkn4	595	30	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	595	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	595	32	right	right	JJ
work_les4de22qzd4pkbxjnruyovkn4	595	33	most	most	JJS
work_les4de22qzd4pkbxjnruyovkn4	595	34	training	training	NN
work_les4de22qzd4pkbxjnruyovkn4	595	35	example	example	NN
work_les4de22qzd4pkbxjnruyovkn4	595	36	minus	minus	CC
work_les4de22qzd4pkbxjnruyovkn4	595	37	some	some	DT
work_les4de22qzd4pkbxjnruyovkn4	595	38	constant	constant	NN
work_les4de22qzd4pkbxjnruyovkn4	595	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	596	1	Differences	difference	NNS
work_les4de22qzd4pkbxjnruyovkn4	596	2	also	also	RB
work_les4de22qzd4pkbxjnruyovkn4	596	3	occur	occur	VBP
work_les4de22qzd4pkbxjnruyovkn4	596	4	due	due	IN
work_les4de22qzd4pkbxjnruyovkn4	596	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	596	6	floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	596	7	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	596	8	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	596	9	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	596	10	discussed	discuss	VBN
work_les4de22qzd4pkbxjnruyovkn4	596	11	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	596	12	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	596	13	Floating	floating	JJ
work_les4de22qzd4pkbxjnruyovkn4	596	14	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	596	15	precision	precision	NN
work_les4de22qzd4pkbxjnruyovkn4	596	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	596	17	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	596	18	Speed	Speed	NNP
work_les4de22qzd4pkbxjnruyovkn4	596	19	Tables	Tables	NNP
work_les4de22qzd4pkbxjnruyovkn4	596	20	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	596	21	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	596	22	25	25	CD
work_les4de22qzd4pkbxjnruyovkn4	596	23	show	show	VB
work_les4de22qzd4pkbxjnruyovkn4	596	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	596	25	relative	relative	JJ
work_les4de22qzd4pkbxjnruyovkn4	596	26	speedup	speedup	NN
work_les4de22qzd4pkbxjnruyovkn4	596	27	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	596	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	596	29	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	596	30	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	596	31	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	596	32	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	596	33	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	596	34	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	596	35	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	596	36	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	596	37	500	500	CD
work_les4de22qzd4pkbxjnruyovkn4	596	38	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	596	39	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	596	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	597	1	For	for	IN
work_les4de22qzd4pkbxjnruyovkn4	597	2	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	597	3	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	597	4	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	597	5	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	597	6	lower	low	JJR
work_les4de22qzd4pkbxjnruyovkn4	597	7	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	597	8	desktop	desktop	NN
work_les4de22qzd4pkbxjnruyovkn4	597	9	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	597	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	597	11	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	597	12	ups	up	NNS
work_les4de22qzd4pkbxjnruyovkn4	597	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	597	14	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	597	15	4.09	4.09	CD
work_les4de22qzd4pkbxjnruyovkn4	597	16	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	597	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	597	18	6.62	6.62	CD
work_les4de22qzd4pkbxjnruyovkn4	597	19	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	597	20	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	597	21	achieved	achieve	VBN
work_les4de22qzd4pkbxjnruyovkn4	597	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	598	1	On	on	IN
work_les4de22qzd4pkbxjnruyovkn4	598	2	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	598	3	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	598	4	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	598	5	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	598	6	higher	high	JJR
work_les4de22qzd4pkbxjnruyovkn4	598	7	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	598	8	desktop	desktop	NN
work_les4de22qzd4pkbxjnruyovkn4	598	9	hardware	hardware	NN
work_les4de22qzd4pkbxjnruyovkn4	598	10	but	but	CC
work_les4de22qzd4pkbxjnruyovkn4	598	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	598	12	same	same	JJ
work_les4de22qzd4pkbxjnruyovkn4	598	13	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	598	14	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	598	15	cores	core	NNS
work_les4de22qzd4pkbxjnruyovkn4	598	16	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	598	17	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	598	18	ups	up	NNS
work_les4de22qzd4pkbxjnruyovkn4	598	19	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	598	20	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	598	21	3.16	3.16	CD
work_les4de22qzd4pkbxjnruyovkn4	598	22	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	598	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	598	24	5.57	5.57	CD
work_les4de22qzd4pkbxjnruyovkn4	598	25	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	598	26	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	598	27	achieved	achieve	VBN
work_les4de22qzd4pkbxjnruyovkn4	598	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	599	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	599	2	GTX	GTX	NNP
work_les4de22qzd4pkbxjnruyovkn4	599	3	970	970	CD
work_les4de22qzd4pkbxjnruyovkn4	599	4	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	599	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	599	6	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	599	7	#	#	NN
work_les4de22qzd4pkbxjnruyovkn4	599	8	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	599	9	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	599	10	sample	sample	VB
work_les4de22qzd4pkbxjnruyovkn4	599	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	599	12	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	599	13	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	599	14	they	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	599	15	do	do	VBP
work_les4de22qzd4pkbxjnruyovkn4	599	16	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	599	17	fit	fit	VB
work_les4de22qzd4pkbxjnruyovkn4	599	18	entirely	entirely	RB
work_les4de22qzd4pkbxjnruyovkn4	599	19	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	599	20	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	599	21	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	599	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	600	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	600	2	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	600	3	X	X	NNPS
work_les4de22qzd4pkbxjnruyovkn4	600	4	used	use	VBD
work_les4de22qzd4pkbxjnruyovkn4	600	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	600	6	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	600	7	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	600	8	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	600	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	600	10	able	able	JJ
work_les4de22qzd4pkbxjnruyovkn4	600	11	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	600	12	fit	fit	VB
work_les4de22qzd4pkbxjnruyovkn4	600	13	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	600	14	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	600	15	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	600	16	entirely	entirely	RB
work_les4de22qzd4pkbxjnruyovkn4	600	17	into	into	IN
work_les4de22qzd4pkbxjnruyovkn4	600	18	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	600	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	601	1	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	601	2	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	601	3	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	601	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	601	5	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	601	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	601	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	601	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	601	9	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	601	10	across	across	IN
work_les4de22qzd4pkbxjnruyovkn4	601	11	varying	varying	NN
work_les4de22qzd4pkbxjnruyovkn4	601	12	problem	problem	NN
work_les4de22qzd4pkbxjnruyovkn4	601	13	sizes	size	NNS
work_les4de22qzd4pkbxjnruyovkn4	601	14	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	601	15	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	601	16	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	601	17	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	601	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	602	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	602	2	experiment	experiment	NN
work_les4de22qzd4pkbxjnruyovkn4	602	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	602	4	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	602	5	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	602	6	subsets	subset	NNS
work_les4de22qzd4pkbxjnruyovkn4	602	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	602	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	602	9	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	602	10	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	602	11	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	602	12	20	20	CD
work_les4de22qzd4pkbxjnruyovkn4	602	13	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	602	14	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	602	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	603	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	603	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	603	3	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	603	4	’s	’	VBZ
work_les4de22qzd4pkbxjnruyovkn4	603	5	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	603	6	increases	increase	VBZ
work_les4de22qzd4pkbxjnruyovkn4	603	7	linearly	linearly	JJ
work_les4de22qzd4pkbxjnruyovkn4	603	8	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	603	9	respect	respect	NN
work_les4de22qzd4pkbxjnruyovkn4	603	10	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	603	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	603	12	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	603	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	603	14	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	603	15	rows	row	NNS
work_les4de22qzd4pkbxjnruyovkn4	603	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	604	1	It	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	604	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	604	3	approximately	approximately	RB
work_les4de22qzd4pkbxjnruyovkn4	604	4	equal	equal	JJ
work_les4de22qzd4pkbxjnruyovkn4	604	5	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	604	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	604	7	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	604	8	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	604	9	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	604	10	10,000	10,000	CD
work_les4de22qzd4pkbxjnruyovkn4	604	11	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	604	12	22	22	CD
work_les4de22qzd4pkbxjnruyovkn4	604	13	Accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	604	14	benchmarks	benchmark	NNS
work_les4de22qzd4pkbxjnruyovkn4	604	15	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	605	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	2	Subset	Subset	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	3	Metric	Metric	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	4	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	5	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	605	6	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	7	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	605	8	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	9	0.75	0.75	CD
work_les4de22qzd4pkbxjnruyovkn4	605	10	ndcg@10	ndcg@10	CD
work_les4de22qzd4pkbxjnruyovkn4	605	11	0.7784	0.7784	CD
work_les4de22qzd4pkbxjnruyovkn4	605	12	0.7768	0.7768	CD
work_les4de22qzd4pkbxjnruyovkn4	605	13	Higgs	higgs	NN
work_les4de22qzd4pkbxjnruyovkn4	605	14	0.25	0.25	CD
work_les4de22qzd4pkbxjnruyovkn4	605	15	auc	auc	NN
work_les4de22qzd4pkbxjnruyovkn4	605	16	0.8426	0.8426	CD
work_les4de22qzd4pkbxjnruyovkn4	605	17	0.8426	0.8426	CD
work_les4de22qzd4pkbxjnruyovkn4	605	18	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	605	19	0.35	0.35	CD
work_les4de22qzd4pkbxjnruyovkn4	605	20	auc	auc	NN
work_les4de22qzd4pkbxjnruyovkn4	605	21	0.6833	0.6833	CD
work_les4de22qzd4pkbxjnruyovkn4	605	22	0.6905	0.6905	CD
work_les4de22qzd4pkbxjnruyovkn4	605	23	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	605	24	23	23	CD
work_les4de22qzd4pkbxjnruyovkn4	605	25	Accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	605	26	benchmarks	benchmark	NNS
work_les4de22qzd4pkbxjnruyovkn4	605	27	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	605	28	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	605	29	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	605	30	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	605	31	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	606	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	2	Subset	Subset	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	3	Metric	Metric	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	4	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	5	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	606	6	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	606	7	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	606	8	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	606	9	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	606	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	606	11	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	12	0.75	0.75	CD
work_les4de22qzd4pkbxjnruyovkn4	606	13	ndcg@10	ndcg@10	CD
work_les4de22qzd4pkbxjnruyovkn4	606	14	0.7776	0.7776	CD
work_les4de22qzd4pkbxjnruyovkn4	606	15	Higgs	higgs	NN
work_les4de22qzd4pkbxjnruyovkn4	606	16	0.25	0.25	CD
work_les4de22qzd4pkbxjnruyovkn4	606	17	auc	auc	NN
work_les4de22qzd4pkbxjnruyovkn4	606	18	0.8428	0.8428	CD
work_les4de22qzd4pkbxjnruyovkn4	606	19	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	20	0.35	0.35	CD
work_les4de22qzd4pkbxjnruyovkn4	606	21	auc	auc	NN
work_les4de22qzd4pkbxjnruyovkn4	606	22	0.6849	0.6849	CD
work_les4de22qzd4pkbxjnruyovkn4	606	23	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	24	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	606	25	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	26	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	606	27	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	606	28	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	606	29	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	606	30	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	31	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	606	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	607	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	607	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	607	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	607	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	607	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	607	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	607	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	607	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	607	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	607	10	32/37	32/37	CD
work_les4de22qzd4pkbxjnruyovkn4	607	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	607	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	607	13	rows	row	NNS
work_les4de22qzd4pkbxjnruyovkn4	607	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	607	15	always	always	RB
work_les4de22qzd4pkbxjnruyovkn4	607	16	faster	fast	RBR
work_les4de22qzd4pkbxjnruyovkn4	607	17	thereafter	thereafter	RB
work_les4de22qzd4pkbxjnruyovkn4	607	18	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	607	19	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	607	20	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	607	21	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	608	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	608	2	gives	give	VBZ
work_les4de22qzd4pkbxjnruyovkn4	608	3	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	608	4	idea	idea	NN
work_les4de22qzd4pkbxjnruyovkn4	608	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	608	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	608	7	minimum	minimum	JJ
work_les4de22qzd4pkbxjnruyovkn4	608	8	batch	batch	NN
work_les4de22qzd4pkbxjnruyovkn4	608	9	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	608	10	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	608	11	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	608	12	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	608	13	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	608	14	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	608	15	begins	begin	VBZ
work_les4de22qzd4pkbxjnruyovkn4	608	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	608	17	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	608	18	effective	effective	JJ
work_les4de22qzd4pkbxjnruyovkn4	608	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	609	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	609	2	Fig	Fig	NNP
work_les4de22qzd4pkbxjnruyovkn4	609	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	610	1	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	610	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	610	3	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	610	4	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	610	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	610	6	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	610	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	610	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	610	9	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	610	10	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	610	11	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	610	12	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	610	13	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	610	14	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	610	15	against	against	IN
work_les4de22qzd4pkbxjnruyovkn4	610	16	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	610	17	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	610	18	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	610	19	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	610	20	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	610	21	high	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	610	22	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	610	23	end	end	NN
work_les4de22qzd4pkbxjnruyovkn4	610	24	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	610	25	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	610	26	server	server	NN
work_les4de22qzd4pkbxjnruyovkn4	610	27	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	610	28	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	610	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	610	30	Yahoo	Yahoo	NNP
work_les4de22qzd4pkbxjnruyovkn4	610	31	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	610	32	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	610	33	500	500	CD
work_les4de22qzd4pkbxjnruyovkn4	610	34	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	610	35	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	610	36	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	610	37	varying	vary	VBG
work_les4de22qzd4pkbxjnruyovkn4	610	38	numbers	number	NNS
work_les4de22qzd4pkbxjnruyovkn4	610	39	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	610	40	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	610	41	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	611	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	611	2	data	data	NN
work_les4de22qzd4pkbxjnruyovkn4	611	3	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	611	4	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	611	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	611	6	average	average	JJ
work_les4de22qzd4pkbxjnruyovkn4	611	7	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	611	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	611	9	eight	eight	CD
work_les4de22qzd4pkbxjnruyovkn4	611	10	runs	run	NNS
work_les4de22qzd4pkbxjnruyovkn4	611	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	612	1	Error	error	NN
work_les4de22qzd4pkbxjnruyovkn4	612	2	bars	bar	NNS
work_les4de22qzd4pkbxjnruyovkn4	612	3	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	612	4	too	too	RB
work_les4de22qzd4pkbxjnruyovkn4	612	5	small	small	JJ
work_les4de22qzd4pkbxjnruyovkn4	612	6	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	612	7	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	612	8	visible	visible	JJ
work_les4de22qzd4pkbxjnruyovkn4	612	9	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	612	10	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	612	11	scale	scale	NN
work_les4de22qzd4pkbxjnruyovkn4	612	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	613	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	613	2	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	613	3	X	X	NNP
work_les4de22qzd4pkbxjnruyovkn4	613	4	outperforms	outperform	VBZ
work_les4de22qzd4pkbxjnruyovkn4	613	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	613	6	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	613	7	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	613	8	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	613	9	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	613	10	approximately	approximately	RB
work_les4de22qzd4pkbxjnruyovkn4	613	11	1.2	1.2	CD
work_les4de22qzd4pkbxjnruyovkn4	613	12	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	613	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	613	14	even	even	RB
work_les4de22qzd4pkbxjnruyovkn4	613	15	if	if	IN
work_les4de22qzd4pkbxjnruyovkn4	613	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	613	17	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	613	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	613	19	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	613	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	613	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	613	22	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	613	23	core	core	NN
work_les4de22qzd4pkbxjnruyovkn4	613	24	machine	machine	NN
work_les4de22qzd4pkbxjnruyovkn4	613	25	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	613	26	chosen	choose	VBN
work_les4de22qzd4pkbxjnruyovkn4	613	27	optimally	optimally	RB
work_les4de22qzd4pkbxjnruyovkn4	613	28	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	614	1	Interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	614	2	algorithm	algorithm	JJ
work_les4de22qzd4pkbxjnruyovkn4	614	3	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	614	4	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	614	5	Table	Table	NNP
work_les4de22qzd4pkbxjnruyovkn4	614	6	26	26	CD
work_les4de22qzd4pkbxjnruyovkn4	614	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	614	8	Fig	fig	NN
work_les4de22qzd4pkbxjnruyovkn4	614	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	615	1	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	615	2	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	615	3	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	615	4	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	615	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	6	effect	effect	NN
work_les4de22qzd4pkbxjnruyovkn4	615	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	615	8	changing	change	VBG
work_les4de22qzd4pkbxjnruyovkn4	615	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	10	threshold	threshold	NN
work_les4de22qzd4pkbxjnruyovkn4	615	11	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	615	12	which	which	WDT
work_les4de22qzd4pkbxjnruyovkn4	615	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	14	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	615	15	switches	switch	VBZ
work_les4de22qzd4pkbxjnruyovkn4	615	16	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	615	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	18	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	615	19	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	615	20	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	615	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	22	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	615	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	615	24	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	25	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	615	26	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	615	27	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	615	28	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	615	29	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	615	30	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	616	1	Timings	timing	NNS
work_les4de22qzd4pkbxjnruyovkn4	616	2	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	616	3	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	616	4	100	100	CD
work_les4de22qzd4pkbxjnruyovkn4	616	5	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	616	6	iterations	iteration	NNS
work_les4de22qzd4pkbxjnruyovkn4	616	7	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	616	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	616	9	35	35	CD
work_les4de22qzd4pkbxjnruyovkn4	616	10	%	%	NN
work_les4de22qzd4pkbxjnruyovkn4	616	11	subset	subset	NN
work_les4de22qzd4pkbxjnruyovkn4	616	12	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	616	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	616	14	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	616	15	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	616	16	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	616	17	configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	616	18	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	616	19	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	616	20	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	617	1	Using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	617	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	617	3	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	617	4	version	version	NN
work_les4de22qzd4pkbxjnruyovkn4	617	5	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	617	6	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	617	7	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	617	8	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	617	9	benefits	benefit	NNS
work_les4de22qzd4pkbxjnruyovkn4	617	10	all	all	PDT
work_les4de22qzd4pkbxjnruyovkn4	617	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	617	12	way	way	NN
work_les4de22qzd4pkbxjnruyovkn4	617	13	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	617	14	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	617	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	617	16	fifth	fifth	JJ
work_les4de22qzd4pkbxjnruyovkn4	617	17	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	617	18	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	617	19	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	617	20	1.14	1.14	CD
work_les4de22qzd4pkbxjnruyovkn4	617	21	�	�	NN
work_les4de22qzd4pkbxjnruyovkn4	617	22	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	617	23	increase	increase	NN
work_les4de22qzd4pkbxjnruyovkn4	617	24	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	617	25	compared	compare	VBN
work_les4de22qzd4pkbxjnruyovkn4	617	26	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	617	27	just	just	RB
work_les4de22qzd4pkbxjnruyovkn4	617	28	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	617	29	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	617	30	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	617	31	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	617	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	618	1	After	after	IN
work_les4de22qzd4pkbxjnruyovkn4	618	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	618	3	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	618	4	temporary	temporary	JJ
work_les4de22qzd4pkbxjnruyovkn4	618	5	storage	storage	NN
work_les4de22qzd4pkbxjnruyovkn4	618	6	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	618	7	insufficient	insufficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	618	8	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	618	9	keep	keep	VB
work_les4de22qzd4pkbxjnruyovkn4	618	10	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	618	11	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	618	12	Configuration	Configuration	NNP
work_les4de22qzd4pkbxjnruyovkn4	618	13	#	#	NN
work_les4de22qzd4pkbxjnruyovkn4	618	14	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	618	15	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	618	16	benchmarks	benchmark	NNS
work_les4de22qzd4pkbxjnruyovkn4	618	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	619	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	2	Subset	Subset	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	3	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	619	4	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	619	5	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	619	6	s	s	NN
work_les4de22qzd4pkbxjnruyovkn4	619	7	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	619	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	9	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	619	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	619	11	s	s	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	619	13	Speedup	Speedup	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	14	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	15	0.75	0.75	CD
work_les4de22qzd4pkbxjnruyovkn4	619	16	1,577	1,577	CD
work_les4de22qzd4pkbxjnruyovkn4	619	17	376	376	CD
work_les4de22qzd4pkbxjnruyovkn4	619	18	4.19	4.19	CD
work_les4de22qzd4pkbxjnruyovkn4	619	19	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	20	0.25	0.25	CD
work_les4de22qzd4pkbxjnruyovkn4	619	21	7,961	7,961	CD
work_les4de22qzd4pkbxjnruyovkn4	619	22	1,201	1,201	CD
work_les4de22qzd4pkbxjnruyovkn4	619	23	6.62	6.62	CD
work_les4de22qzd4pkbxjnruyovkn4	619	24	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	619	25	0.35	0.35	CD
work_les4de22qzd4pkbxjnruyovkn4	619	26	1,019	1,019	CD
work_les4de22qzd4pkbxjnruyovkn4	619	27	249	249	CD
work_les4de22qzd4pkbxjnruyovkn4	619	28	4.09	4.09	CD
work_les4de22qzd4pkbxjnruyovkn4	619	29	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	619	30	25	25	CD
work_les4de22qzd4pkbxjnruyovkn4	619	31	Configuration	configuration	NN
work_les4de22qzd4pkbxjnruyovkn4	619	32	#	#	$
work_les4de22qzd4pkbxjnruyovkn4	619	33	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	619	34	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	619	35	benchmarks	benchmark	NNS
work_les4de22qzd4pkbxjnruyovkn4	619	36	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	620	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	2	Subset	Subset	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	3	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	620	4	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	620	5	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	620	6	s	s	NN
work_les4de22qzd4pkbxjnruyovkn4	620	7	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	620	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	9	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	620	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	620	11	s	s	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	620	13	Speedup	Speedup	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	14	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	15	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	620	16	877	877	CD
work_les4de22qzd4pkbxjnruyovkn4	620	17	277	277	CD
work_les4de22qzd4pkbxjnruyovkn4	620	18	3.16	3.16	CD
work_les4de22qzd4pkbxjnruyovkn4	620	19	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	20	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	620	21	14,504	14,504	CD
work_les4de22qzd4pkbxjnruyovkn4	620	22	3,052	3,052	CD
work_les4de22qzd4pkbxjnruyovkn4	620	23	4.75	4.75	CD
work_les4de22qzd4pkbxjnruyovkn4	620	24	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	25	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	620	26	3,294	3,294	CD
work_les4de22qzd4pkbxjnruyovkn4	620	27	591	591	CD
work_les4de22qzd4pkbxjnruyovkn4	620	28	5.57	5.57	CD
work_les4de22qzd4pkbxjnruyovkn4	620	29	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	620	30	9	9	CD
work_les4de22qzd4pkbxjnruyovkn4	620	31	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	620	32	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	620	33	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	620	34	vs	vs	IN
work_les4de22qzd4pkbxjnruyovkn4	620	35	problem	problem	NN
work_les4de22qzd4pkbxjnruyovkn4	620	36	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	620	37	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	621	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	621	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	621	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	621	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	621	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	621	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	621	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	621	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	621	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	621	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	622	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	622	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	622	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	622	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	622	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	622	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	622	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	622	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	622	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	622	10	33/37	33/37	CD
work_les4de22qzd4pkbxjnruyovkn4	622	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	622	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	622	13	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	622	14	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	622	15	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	622	16	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	622	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	623	1	Note	note	VB
work_les4de22qzd4pkbxjnruyovkn4	623	2	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	623	3	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	623	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	623	5	first	first	JJ
work_les4de22qzd4pkbxjnruyovkn4	623	6	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	623	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	623	8	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	623	9	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	623	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	623	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	623	12	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	623	13	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	623	14	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	623	15	equivalent	equivalent	JJ
work_les4de22qzd4pkbxjnruyovkn4	623	16	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	623	17	there	there	EX
work_les4de22qzd4pkbxjnruyovkn4	623	18	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	623	19	only	only	RB
work_les4de22qzd4pkbxjnruyovkn4	623	20	one	one	CD
work_les4de22qzd4pkbxjnruyovkn4	623	21	node	node	NN
work_les4de22qzd4pkbxjnruyovkn4	623	22	bucket	bucket	NN
work_les4de22qzd4pkbxjnruyovkn4	623	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	624	1	Surprisingly	surprisingly	RB
work_les4de22qzd4pkbxjnruyovkn4	624	2	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	624	3	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	624	4	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	624	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	624	6	still	still	RB
work_les4de22qzd4pkbxjnruyovkn4	624	7	faster	fast	JJR
work_les4de22qzd4pkbxjnruyovkn4	624	8	than	than	IN
work_les4de22qzd4pkbxjnruyovkn4	624	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	624	10	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	624	11	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	624	12	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	624	13	level	level	NN
work_les4de22qzd4pkbxjnruyovkn4	624	14	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	624	15	despite	despite	IN
work_les4de22qzd4pkbxjnruyovkn4	624	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	624	17	fact	fact	NN
work_les4de22qzd4pkbxjnruyovkn4	624	18	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	624	19	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	624	20	multiscan	multiscan	NN
work_les4de22qzd4pkbxjnruyovkn4	624	21	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	624	22	multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	624	23	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	624	24	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	624	25	sequentially	sequentially	RB
work_les4de22qzd4pkbxjnruyovkn4	624	26	iterate	iterate	VB
work_les4de22qzd4pkbxjnruyovkn4	624	27	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	624	28	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	624	29	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	624	30	=	=	SYM
work_les4de22qzd4pkbxjnruyovkn4	624	31	32	32	CD
work_les4de22qzd4pkbxjnruyovkn4	624	32	nodes	node	NNS
work_les4de22qzd4pkbxjnruyovkn4	624	33	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	624	34	each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	624	35	step	step	NN
work_les4de22qzd4pkbxjnruyovkn4	624	36	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	625	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	625	2	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	625	3	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	625	4	executing	execute	VBG
work_les4de22qzd4pkbxjnruyovkn4	625	5	instructions	instruction	NNS
work_les4de22qzd4pkbxjnruyovkn4	625	6	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	625	7	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	625	8	Figure	Figure	NNP
work_les4de22qzd4pkbxjnruyovkn4	625	9	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	625	10	Yahoo	Yahoo	NNP
work_les4de22qzd4pkbxjnruyovkn4	625	11	LTR	LTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	625	12	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	625	13	n	n	NN
work_les4de22qzd4pkbxjnruyovkn4	625	14	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	625	15	threads	thread	NNS
work_les4de22qzd4pkbxjnruyovkn4	625	16	vs	vs	IN
work_les4de22qzd4pkbxjnruyovkn4	625	17	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	625	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	626	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	626	2	26	26	CD
work_les4de22qzd4pkbxjnruyovkn4	626	3	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	626	4	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	626	5	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	626	6	interleaved	interleave	VBN
work_les4de22qzd4pkbxjnruyovkn4	626	7	levels	level	NNS
work_les4de22qzd4pkbxjnruyovkn4	626	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	627	1	Levels	level	NNS
work_les4de22qzd4pkbxjnruyovkn4	627	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	627	3	time	time	NN
work_les4de22qzd4pkbxjnruyovkn4	627	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	627	5	s	s	LS
work_les4de22qzd4pkbxjnruyovkn4	627	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	627	7	Accuracy	Accuracy	NNP
work_les4de22qzd4pkbxjnruyovkn4	627	8	Speedup	Speedup	NNP
work_les4de22qzd4pkbxjnruyovkn4	627	9	0	0	CD
work_les4de22qzd4pkbxjnruyovkn4	627	10	85.96	85.96	CD
work_les4de22qzd4pkbxjnruyovkn4	627	11	0.7045	0.7045	CD
work_les4de22qzd4pkbxjnruyovkn4	627	12	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	627	13	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	627	14	85.59	85.59	CD
work_les4de22qzd4pkbxjnruyovkn4	627	15	0.7102	0.7102	CD
work_les4de22qzd4pkbxjnruyovkn4	627	16	1.0	1.0	CD
work_les4de22qzd4pkbxjnruyovkn4	627	17	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	627	18	82.32	82.32	CD
work_les4de22qzd4pkbxjnruyovkn4	627	19	0.7047	0.7047	CD
work_les4de22qzd4pkbxjnruyovkn4	627	20	1.04	1.04	CD
work_les4de22qzd4pkbxjnruyovkn4	627	21	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	627	22	79.97	79.97	CD
work_les4de22qzd4pkbxjnruyovkn4	627	23	0.7066	0.7066	CD
work_les4de22qzd4pkbxjnruyovkn4	627	24	1.07	1.07	CD
work_les4de22qzd4pkbxjnruyovkn4	627	25	4	4	CD
work_les4de22qzd4pkbxjnruyovkn4	627	26	76.38	76.38	CD
work_les4de22qzd4pkbxjnruyovkn4	627	27	0.7094	0.7094	CD
work_les4de22qzd4pkbxjnruyovkn4	627	28	1.13	1.13	CD
work_les4de22qzd4pkbxjnruyovkn4	627	29	5	5	CD
work_les4de22qzd4pkbxjnruyovkn4	627	30	75.21	75.21	CD
work_les4de22qzd4pkbxjnruyovkn4	627	31	0.7046	0.7046	CD
work_les4de22qzd4pkbxjnruyovkn4	627	32	1.14	1.14	CD
work_les4de22qzd4pkbxjnruyovkn4	627	33	Figure	figure	NN
work_les4de22qzd4pkbxjnruyovkn4	627	34	11	11	CD
work_les4de22qzd4pkbxjnruyovkn4	627	35	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	627	36	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	627	37	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	627	38	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	627	39	threshold	threshold	NN
work_les4de22qzd4pkbxjnruyovkn4	627	40	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	628	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	628	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	628	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	628	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	628	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	628	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	628	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	628	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	628	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	628	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	629	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	629	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	629	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	629	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	629	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	629	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	629	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	629	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	629	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	629	10	34/37	34/37	CD
work_les4de22qzd4pkbxjnruyovkn4	629	11	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	629	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_les4de22qzd4pkbxjnruyovkn4	629	13	held	hold	VBN
work_les4de22qzd4pkbxjnruyovkn4	629	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	629	15	registers	register	NNS
work_les4de22qzd4pkbxjnruyovkn4	629	16	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	629	17	shared	share	VBN
work_les4de22qzd4pkbxjnruyovkn4	629	18	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	629	19	carries	carry	VBZ
work_les4de22qzd4pkbxjnruyovkn4	629	20	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	629	21	very	very	RB
work_les4de22qzd4pkbxjnruyovkn4	629	22	low	low	JJ
work_les4de22qzd4pkbxjnruyovkn4	629	23	cost	cost	NN
work_les4de22qzd4pkbxjnruyovkn4	629	24	relative	relative	JJ
work_les4de22qzd4pkbxjnruyovkn4	629	25	to	to	IN
work_les4de22qzd4pkbxjnruyovkn4	629	26	uncoalesced	uncoalesced	JJ
work_les4de22qzd4pkbxjnruyovkn4	629	27	re	re	NN
work_les4de22qzd4pkbxjnruyovkn4	629	28	-	-	NN
work_les4de22qzd4pkbxjnruyovkn4	629	29	ordering	ordering	NN
work_les4de22qzd4pkbxjnruyovkn4	629	30	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	629	31	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	629	32	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	629	33	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	629	34	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	629	35	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	629	36	as	as	IN
work_les4de22qzd4pkbxjnruyovkn4	629	37	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	629	38	performed	perform	VBN
work_les4de22qzd4pkbxjnruyovkn4	629	39	when	when	WRB
work_les4de22qzd4pkbxjnruyovkn4	629	40	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	629	41	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	629	42	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	630	1	Memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	630	2	consumption	consumption	NN
work_les4de22qzd4pkbxjnruyovkn4	630	3	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	630	4	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	630	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	630	6	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	630	7	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	630	8	consumption	consumption	NN
work_les4de22qzd4pkbxjnruyovkn4	630	9	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	630	10	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	630	11	27	27	CD
work_les4de22qzd4pkbxjnruyovkn4	630	12	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	630	13	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	630	14	three	three	CD
work_les4de22qzd4pkbxjnruyovkn4	630	15	benchmark	benchmark	JJ
work_les4de22qzd4pkbxjnruyovkn4	630	16	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	630	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	631	1	Each	each	DT
work_les4de22qzd4pkbxjnruyovkn4	631	2	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	631	3	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	631	4	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	631	5	fit	fit	JJ
work_les4de22qzd4pkbxjnruyovkn4	631	6	entirely	entirely	RB
work_les4de22qzd4pkbxjnruyovkn4	631	7	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	631	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	631	9	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	631	10	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	631	11	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	631	12	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	631	13	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	631	14	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	631	15	Titan	Titan	NNP
work_les4de22qzd4pkbxjnruyovkn4	631	16	X	x	NN
work_les4de22qzd4pkbxjnruyovkn4	631	17	card	card	NN
work_les4de22qzd4pkbxjnruyovkn4	631	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	632	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	632	2	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	632	3	28	28	CD
work_les4de22qzd4pkbxjnruyovkn4	632	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	632	5	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	632	6	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	632	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	632	8	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	632	9	consumption	consumption	NN
work_les4de22qzd4pkbxjnruyovkn4	632	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	632	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	632	12	original	original	JJ
work_les4de22qzd4pkbxjnruyovkn4	632	13	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	632	14	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	632	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	632	16	comparison	comparison	NN
work_les4de22qzd4pkbxjnruyovkn4	632	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	633	1	Host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	633	2	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	633	3	consumption	consumption	NN
work_les4de22qzd4pkbxjnruyovkn4	633	4	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	633	5	evaluated	evaluate	VBN
work_les4de22qzd4pkbxjnruyovkn4	633	6	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	633	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	633	8	valgrind	valgrind	NNP
work_les4de22qzd4pkbxjnruyovkn4	633	9	massif	massif	NNP
work_les4de22qzd4pkbxjnruyovkn4	633	10	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	633	11	http://valgrind.org/docs/manual/msmanual.html	http://valgrind.org/docs/manual/msmanual.html	NNP
work_les4de22qzd4pkbxjnruyovkn4	633	12	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	633	13	heap	heap	NNP
work_les4de22qzd4pkbxjnruyovkn4	633	14	profiler	profiler	NN
work_les4de22qzd4pkbxjnruyovkn4	633	15	tool	tool	NN
work_les4de22qzd4pkbxjnruyovkn4	633	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	634	1	Device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	634	2	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	634	3	usage	usage	NN
work_les4de22qzd4pkbxjnruyovkn4	634	4	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	634	5	recorded	record	VBN
work_les4de22qzd4pkbxjnruyovkn4	634	6	programmatically	programmatically	RB
work_les4de22qzd4pkbxjnruyovkn4	634	7	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	634	8	custom	custom	NN
work_les4de22qzd4pkbxjnruyovkn4	634	9	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	634	10	allocators	allocator	NNS
work_les4de22qzd4pkbxjnruyovkn4	634	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	635	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	635	2	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	635	3	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	635	4	requirements	requirement	NNS
work_les4de22qzd4pkbxjnruyovkn4	635	5	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	635	6	approximately	approximately	RB
work_les4de22qzd4pkbxjnruyovkn4	635	7	twice	twice	RB
work_les4de22qzd4pkbxjnruyovkn4	635	8	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	635	9	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	635	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	635	11	original	original	JJ
work_les4de22qzd4pkbxjnruyovkn4	635	12	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	635	13	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	635	14	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	636	1	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	636	2	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	636	3	because	because	IN
work_les4de22qzd4pkbxjnruyovkn4	636	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	636	5	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	636	6	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	636	7	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	636	8	able	able	JJ
work_les4de22qzd4pkbxjnruyovkn4	636	9	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	636	10	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	636	11	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	636	12	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	636	13	place	place	NN
work_les4de22qzd4pkbxjnruyovkn4	636	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	636	15	whereas	whereas	IN
work_les4de22qzd4pkbxjnruyovkn4	636	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	636	17	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	636	18	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	636	19	requires	require	VBZ
work_les4de22qzd4pkbxjnruyovkn4	636	20	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	636	21	functions	function	NNS
work_les4de22qzd4pkbxjnruyovkn4	636	22	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	636	23	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	636	24	not	not	RB
work_les4de22qzd4pkbxjnruyovkn4	636	25	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	636	26	place	place	NN
work_les4de22qzd4pkbxjnruyovkn4	636	27	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	636	28	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	636	29	maintain	maintain	VB
work_les4de22qzd4pkbxjnruyovkn4	636	30	separate	separate	JJ
work_les4de22qzd4pkbxjnruyovkn4	636	31	buffers	buffer	NNS
work_les4de22qzd4pkbxjnruyovkn4	636	32	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	636	33	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	636	34	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	636	35	output	output	NN
work_les4de22qzd4pkbxjnruyovkn4	636	36	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	637	1	CONCLUSION	CONCLUSION	NNP
work_les4de22qzd4pkbxjnruyovkn4	637	2	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	637	3	highly	highly	RB
work_les4de22qzd4pkbxjnruyovkn4	637	4	practical	practical	JJ
work_les4de22qzd4pkbxjnruyovkn4	637	5	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	637	6	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	637	7	accelerated	accelerate	VBN
work_les4de22qzd4pkbxjnruyovkn4	637	8	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	637	9	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	637	10	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	637	11	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	637	12	devised	devise	VBN
work_les4de22qzd4pkbxjnruyovkn4	637	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	637	14	evaluated	evaluate	VBN
work_les4de22qzd4pkbxjnruyovkn4	637	15	within	within	IN
work_les4de22qzd4pkbxjnruyovkn4	637	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	637	17	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	637	18	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	637	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	638	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	638	2	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	638	3	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	638	4	built	build	VBN
work_les4de22qzd4pkbxjnruyovkn4	638	5	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	638	6	top	top	NN
work_les4de22qzd4pkbxjnruyovkn4	638	7	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	638	8	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	638	9	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	638	10	primitives	primitive	NNS
work_les4de22qzd4pkbxjnruyovkn4	638	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	638	12	switches	switch	NNS
work_les4de22qzd4pkbxjnruyovkn4	638	13	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	638	14	two	two	CD
work_les4de22qzd4pkbxjnruyovkn4	638	15	modes	mode	NNS
work_les4de22qzd4pkbxjnruyovkn4	638	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	638	17	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	638	18	depending	depend	VBG
work_les4de22qzd4pkbxjnruyovkn4	638	19	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	638	20	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	638	21	depth	depth	NN
work_les4de22qzd4pkbxjnruyovkn4	638	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	639	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	639	2	‘	'	``
work_les4de22qzd4pkbxjnruyovkn4	639	3	interleaved	interleaved	JJ
work_les4de22qzd4pkbxjnruyovkn4	639	4	’	'	''
work_les4de22qzd4pkbxjnruyovkn4	639	5	mode	mode	NN
work_les4de22qzd4pkbxjnruyovkn4	639	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	639	7	operation	operation	NN
work_les4de22qzd4pkbxjnruyovkn4	639	8	shows	show	VBZ
work_les4de22qzd4pkbxjnruyovkn4	639	9	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	639	10	multiscan	multiscan	NNP
work_les4de22qzd4pkbxjnruyovkn4	639	11	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	639	12	multireduce	multireduce	VB
work_les4de22qzd4pkbxjnruyovkn4	639	13	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	639	14	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	639	15	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	639	16	limited	limited	JJ
work_les4de22qzd4pkbxjnruyovkn4	639	17	number	number	NN
work_les4de22qzd4pkbxjnruyovkn4	639	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	639	19	buckets	bucket	NNS
work_les4de22qzd4pkbxjnruyovkn4	639	20	can	can	MD
work_les4de22qzd4pkbxjnruyovkn4	639	21	be	be	VB
work_les4de22qzd4pkbxjnruyovkn4	639	22	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	639	23	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	639	24	avoid	avoid	VB
work_les4de22qzd4pkbxjnruyovkn4	639	25	expensive	expensive	JJ
work_les4de22qzd4pkbxjnruyovkn4	639	26	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	639	27	operations	operation	NNS
work_les4de22qzd4pkbxjnruyovkn4	639	28	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	639	29	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	639	30	depths	depth	NNS
work_les4de22qzd4pkbxjnruyovkn4	639	31	below	below	IN
work_les4de22qzd4pkbxjnruyovkn4	639	32	six	six	CD
work_les4de22qzd4pkbxjnruyovkn4	639	33	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	639	34	resulting	result	VBG
work_les4de22qzd4pkbxjnruyovkn4	639	35	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	639	36	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	639	37	increases	increase	NNS
work_les4de22qzd4pkbxjnruyovkn4	639	38	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	639	39	1.14	1.14	CD
work_les4de22qzd4pkbxjnruyovkn4	639	40	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	639	41	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	639	42	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	639	43	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	639	44	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	639	45	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	640	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	640	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	640	3	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	640	4	provides	provide	VBZ
work_les4de22qzd4pkbxjnruyovkn4	640	5	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	640	7	between	between	IN
work_les4de22qzd4pkbxjnruyovkn4	640	8	3	3	CD
work_les4de22qzd4pkbxjnruyovkn4	640	9	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	640	10	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	640	11	6	6	CD
work_les4de22qzd4pkbxjnruyovkn4	640	12	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	13	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	640	14	multicore	multicore	JJ
work_les4de22qzd4pkbxjnruyovkn4	640	15	CPUs	cpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	16	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	640	17	desktop	desktop	NN
work_les4de22qzd4pkbxjnruyovkn4	640	18	machines	machine	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	19	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	640	20	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	640	21	speed	speed	NN
work_les4de22qzd4pkbxjnruyovkn4	640	22	up	up	IN
work_les4de22qzd4pkbxjnruyovkn4	640	23	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	640	24	1.2	1.2	CD
work_les4de22qzd4pkbxjnruyovkn4	640	25	�	�	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	26	over	over	IN
work_les4de22qzd4pkbxjnruyovkn4	640	27	2	2	CD
work_les4de22qzd4pkbxjnruyovkn4	640	28	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	640	29	Xeon	Xeon	NNP
work_les4de22qzd4pkbxjnruyovkn4	640	30	CPUs	cpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	31	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	640	32	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	640	33	cores	core	NNS
work_les4de22qzd4pkbxjnruyovkn4	640	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	641	1	We	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	641	2	see	see	VBP
work_les4de22qzd4pkbxjnruyovkn4	641	3	significant	significant	JJ
work_les4de22qzd4pkbxjnruyovkn4	641	4	speedups	speedup	NNS
work_les4de22qzd4pkbxjnruyovkn4	641	5	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	641	6	all	all	DT
work_les4de22qzd4pkbxjnruyovkn4	641	7	parameters	parameter	NNS
work_les4de22qzd4pkbxjnruyovkn4	641	8	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	641	9	datasets	dataset	NNS
work_les4de22qzd4pkbxjnruyovkn4	641	10	above	above	IN
work_les4de22qzd4pkbxjnruyovkn4	641	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	641	12	certain	certain	JJ
work_les4de22qzd4pkbxjnruyovkn4	641	13	size	size	NN
work_les4de22qzd4pkbxjnruyovkn4	641	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	641	15	while	while	IN
work_les4de22qzd4pkbxjnruyovkn4	641	16	providing	provide	VBG
work_les4de22qzd4pkbxjnruyovkn4	641	17	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	641	18	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	641	19	that	that	WDT
work_les4de22qzd4pkbxjnruyovkn4	641	20	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	641	21	feature	feature	NN
work_les4de22qzd4pkbxjnruyovkn4	641	22	complete	complete	JJ
work_les4de22qzd4pkbxjnruyovkn4	641	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	641	24	able	able	JJ
work_les4de22qzd4pkbxjnruyovkn4	641	25	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	641	26	handle	handle	VB
work_les4de22qzd4pkbxjnruyovkn4	641	27	sparse	sparse	JJ
work_les4de22qzd4pkbxjnruyovkn4	641	28	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	641	29	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	642	1	Potential	potential	JJ
work_les4de22qzd4pkbxjnruyovkn4	642	2	drawbacks	drawback	NNS
work_les4de22qzd4pkbxjnruyovkn4	642	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	642	4	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	642	5	algorithm	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	642	6	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	642	7	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	642	8	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	642	9	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	642	10	input	input	NN
work_les4de22qzd4pkbxjnruyovkn4	642	11	matrix	matrix	NN
work_les4de22qzd4pkbxjnruyovkn4	642	12	must	must	MD
work_les4de22qzd4pkbxjnruyovkn4	642	13	fit	fit	VB
work_les4de22qzd4pkbxjnruyovkn4	642	14	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	642	15	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	642	16	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	642	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	642	18	device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	642	19	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	642	20	consumption	consumption	NN
work_les4de22qzd4pkbxjnruyovkn4	642	21	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	642	22	approximately	approximately	RB
work_les4de22qzd4pkbxjnruyovkn4	642	23	twice	twice	PDT
work_les4de22qzd4pkbxjnruyovkn4	642	24	that	that	DT
work_les4de22qzd4pkbxjnruyovkn4	642	25	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	642	26	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	642	27	host	host	NN
work_les4de22qzd4pkbxjnruyovkn4	642	28	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	642	29	used	use	VBN
work_les4de22qzd4pkbxjnruyovkn4	642	30	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	642	31	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	642	32	CPU	CPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	642	33	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	642	34	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	643	1	Despite	despite	IN
work_les4de22qzd4pkbxjnruyovkn4	643	2	this	this	DT
work_les4de22qzd4pkbxjnruyovkn4	643	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	643	4	we	-PRON-	PRP
work_les4de22qzd4pkbxjnruyovkn4	643	5	show	show	VBP
work_les4de22qzd4pkbxjnruyovkn4	643	6	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	643	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	643	8	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	643	9	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	643	10	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	643	11	efficient	efficient	JJ
work_les4de22qzd4pkbxjnruyovkn4	643	12	enough	enough	RB
work_les4de22qzd4pkbxjnruyovkn4	643	13	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	643	14	process	process	VB
work_les4de22qzd4pkbxjnruyovkn4	643	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	643	16	entire	entire	JJ
work_les4de22qzd4pkbxjnruyovkn4	643	17	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	643	18	dataset	dataset	NN
work_les4de22qzd4pkbxjnruyovkn4	643	19	containing	contain	VBG
work_les4de22qzd4pkbxjnruyovkn4	643	20	10	10	CD
work_les4de22qzd4pkbxjnruyovkn4	643	21	million	million	CD
work_les4de22qzd4pkbxjnruyovkn4	643	22	instances	instance	NNS
work_les4de22qzd4pkbxjnruyovkn4	643	23	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	643	24	28	28	CD
work_les4de22qzd4pkbxjnruyovkn4	643	25	features	feature	NNS
work_les4de22qzd4pkbxjnruyovkn4	643	26	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	643	27	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	643	28	single	single	JJ
work_les4de22qzd4pkbxjnruyovkn4	643	29	12	12	CD
work_les4de22qzd4pkbxjnruyovkn4	643	30	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	643	31	card	card	NN
work_les4de22qzd4pkbxjnruyovkn4	643	32	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	644	1	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	644	2	27	27	CD
work_les4de22qzd4pkbxjnruyovkn4	644	3	Memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	644	4	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	644	5	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	644	6	algorithm	algorithm	NNP
work_les4de22qzd4pkbxjnruyovkn4	644	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	645	1	Dataset	dataset	JJ
work_les4de22qzd4pkbxjnruyovkn4	645	2	Device	device	NN
work_les4de22qzd4pkbxjnruyovkn4	645	3	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	645	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	645	5	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	645	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	645	7	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	645	8	4.03	4.03	CD
work_les4de22qzd4pkbxjnruyovkn4	645	9	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	645	10	11.32	11.32	CD
work_les4de22qzd4pkbxjnruyovkn4	645	11	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	645	12	8.28	8.28	CD
work_les4de22qzd4pkbxjnruyovkn4	645	13	Table	table	NN
work_les4de22qzd4pkbxjnruyovkn4	645	14	28	28	CD
work_les4de22qzd4pkbxjnruyovkn4	645	15	Memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	645	16	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	645	17	CPU	cpu	NN
work_les4de22qzd4pkbxjnruyovkn4	645	18	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	645	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	646	1	Dataset	Dataset	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	2	Host	Host	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	3	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	646	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	646	5	GB	GB	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	646	7	YLTR	YLTR	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	8	1.80	1.80	CD
work_les4de22qzd4pkbxjnruyovkn4	646	9	Higgs	Higgs	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	10	6.55	6.55	CD
work_les4de22qzd4pkbxjnruyovkn4	646	11	Bosch	Bosch	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	12	3.28	3.28	CD
work_les4de22qzd4pkbxjnruyovkn4	646	13	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	646	15	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	16	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	646	17	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	646	18	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	646	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	646	20	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	21	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	646	22	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	647	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	647	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	647	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	647	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	647	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	10	35/37	35/37	CD
work_les4de22qzd4pkbxjnruyovkn4	647	11	http://valgrind.org/docs/manual/msmanual.html	http://valgrind.org/docs/manual/msmanual.html	CD
work_les4de22qzd4pkbxjnruyovkn4	647	12	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	CD
work_les4de22qzd4pkbxjnruyovkn4	647	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	VBZ
work_les4de22qzd4pkbxjnruyovkn4	647	14	Our	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	647	15	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	647	16	provides	provide	VBZ
work_les4de22qzd4pkbxjnruyovkn4	647	17	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	647	18	practical	practical	JJ
work_les4de22qzd4pkbxjnruyovkn4	647	19	means	mean	NNS
work_les4de22qzd4pkbxjnruyovkn4	647	20	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	647	21	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	22	users	user	NNS
work_les4de22qzd4pkbxjnruyovkn4	647	23	processing	process	VBG
work_les4de22qzd4pkbxjnruyovkn4	647	24	large	large	JJ
work_les4de22qzd4pkbxjnruyovkn4	647	25	data	data	NN
work_les4de22qzd4pkbxjnruyovkn4	647	26	sets	set	NNS
work_les4de22qzd4pkbxjnruyovkn4	647	27	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	647	28	significantly	significantly	RB
work_les4de22qzd4pkbxjnruyovkn4	647	29	reduce	reduce	VB
work_les4de22qzd4pkbxjnruyovkn4	647	30	processing	processing	NN
work_les4de22qzd4pkbxjnruyovkn4	647	31	times	time	NNS
work_les4de22qzd4pkbxjnruyovkn4	647	32	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	647	33	showing	show	VBG
work_les4de22qzd4pkbxjnruyovkn4	647	34	that	that	IN
work_les4de22qzd4pkbxjnruyovkn4	647	35	gradient	gradient	JJ
work_les4de22qzd4pkbxjnruyovkn4	647	36	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	647	37	tasks	task	NNS
work_les4de22qzd4pkbxjnruyovkn4	647	38	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	647	39	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	647	40	good	good	JJ
work_les4de22qzd4pkbxjnruyovkn4	647	41	candidate	candidate	NN
work_les4de22qzd4pkbxjnruyovkn4	647	42	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	647	43	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	647	44	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	647	45	acceleration	acceleration	NN
work_les4de22qzd4pkbxjnruyovkn4	647	46	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	647	47	are	be	VBP
work_les4de22qzd4pkbxjnruyovkn4	647	48	therefore	therefore	RB
work_les4de22qzd4pkbxjnruyovkn4	647	49	no	no	RB
work_les4de22qzd4pkbxjnruyovkn4	647	50	longer	long	RBR
work_les4de22qzd4pkbxjnruyovkn4	647	51	solely	solely	RB
work_les4de22qzd4pkbxjnruyovkn4	647	52	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	647	53	domain	domain	NN
work_les4de22qzd4pkbxjnruyovkn4	647	54	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	647	55	multicore	multicore	JJ
work_les4de22qzd4pkbxjnruyovkn4	647	56	CPUs	cpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	647	57	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	648	1	ADDITIONAL	additional	JJ
work_les4de22qzd4pkbxjnruyovkn4	648	2	INFORMATION	information	NN
work_les4de22qzd4pkbxjnruyovkn4	648	3	AND	and	CC
work_les4de22qzd4pkbxjnruyovkn4	648	4	DECLARATIONS	declaration	NNS
work_les4de22qzd4pkbxjnruyovkn4	648	5	Funding	Funding	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	6	This	this	DT
work_les4de22qzd4pkbxjnruyovkn4	648	7	research	research	NN
work_les4de22qzd4pkbxjnruyovkn4	648	8	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	648	9	supported	support	VBN
work_les4de22qzd4pkbxjnruyovkn4	648	10	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	648	11	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	648	12	Marsden	Marsden	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	13	Grant	Grant	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	14	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	648	15	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	648	16	Royal	Royal	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	17	Society	Society	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	18	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	648	19	New	New	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	20	Zealand	Zealand	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	21	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	648	22	UOW1502	UOW1502	NNP
work_les4de22qzd4pkbxjnruyovkn4	648	23	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	648	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	649	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	649	2	funders	funder	NNS
work_les4de22qzd4pkbxjnruyovkn4	649	3	had	have	VBD
work_les4de22qzd4pkbxjnruyovkn4	649	4	no	no	DT
work_les4de22qzd4pkbxjnruyovkn4	649	5	role	role	NN
work_les4de22qzd4pkbxjnruyovkn4	649	6	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	649	7	study	study	NN
work_les4de22qzd4pkbxjnruyovkn4	649	8	design	design	NN
work_les4de22qzd4pkbxjnruyovkn4	649	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	649	10	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	649	11	collection	collection	NN
work_les4de22qzd4pkbxjnruyovkn4	649	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	649	13	analysis	analysis	NN
work_les4de22qzd4pkbxjnruyovkn4	649	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	649	15	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	649	16	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	649	17	publish	publish	VB
work_les4de22qzd4pkbxjnruyovkn4	649	18	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	649	19	or	or	CC
work_les4de22qzd4pkbxjnruyovkn4	649	20	preparation	preparation	NN
work_les4de22qzd4pkbxjnruyovkn4	649	21	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	649	22	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	649	23	manuscript	manuscript	NN
work_les4de22qzd4pkbxjnruyovkn4	649	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	650	1	Grant	Grant	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	2	Disclosures	disclosure	VBZ
work_les4de22qzd4pkbxjnruyovkn4	650	3	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	650	4	following	follow	VBG
work_les4de22qzd4pkbxjnruyovkn4	650	5	grant	grant	NN
work_les4de22qzd4pkbxjnruyovkn4	650	6	information	information	NN
work_les4de22qzd4pkbxjnruyovkn4	650	7	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	650	8	disclosed	disclose	VBN
work_les4de22qzd4pkbxjnruyovkn4	650	9	by	by	IN
work_les4de22qzd4pkbxjnruyovkn4	650	10	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	650	11	authors	author	NNS
work_les4de22qzd4pkbxjnruyovkn4	650	12	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	650	13	Marsden	Marsden	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	14	Grant	Grant	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	15	from	from	IN
work_les4de22qzd4pkbxjnruyovkn4	650	16	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	650	17	Royal	Royal	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	18	Society	Society	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	19	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	650	20	New	New	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	21	Zealand	Zealand	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	22	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	650	23	UOW1502	UOW1502	NNP
work_les4de22qzd4pkbxjnruyovkn4	650	24	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	651	1	Competing	compete	VBG
work_les4de22qzd4pkbxjnruyovkn4	651	2	Interests	interest	NNS
work_les4de22qzd4pkbxjnruyovkn4	651	3	Eibe	Eibe	NNP
work_les4de22qzd4pkbxjnruyovkn4	651	4	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	651	5	is	be	VBZ
work_les4de22qzd4pkbxjnruyovkn4	651	6	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	651	7	Academic	Academic	NNP
work_les4de22qzd4pkbxjnruyovkn4	651	8	Editor	Editor	NNP
work_les4de22qzd4pkbxjnruyovkn4	651	9	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	651	10	PeerJ.	PeerJ.	NNP
work_les4de22qzd4pkbxjnruyovkn4	652	1	Author	author	NN
work_les4de22qzd4pkbxjnruyovkn4	652	2	Contributions	contribution	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	3	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	652	4	Rory	Rory	NNP
work_les4de22qzd4pkbxjnruyovkn4	652	5	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	652	6	conceived	conceive	VBD
work_les4de22qzd4pkbxjnruyovkn4	652	7	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	652	8	designed	design	VBD
work_les4de22qzd4pkbxjnruyovkn4	652	9	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	652	10	experiments	experiment	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	11	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	652	12	performed	perform	VBD
work_les4de22qzd4pkbxjnruyovkn4	652	13	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	652	14	experiments	experiment	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	652	16	analysed	analyse	VBD
work_les4de22qzd4pkbxjnruyovkn4	652	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	652	18	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	19	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	652	20	wrote	write	VBD
work_les4de22qzd4pkbxjnruyovkn4	652	21	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	652	22	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	652	23	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	652	24	prepared	prepare	VBN
work_les4de22qzd4pkbxjnruyovkn4	652	25	figures	figure	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	26	and/or	and/or	CC
work_les4de22qzd4pkbxjnruyovkn4	652	27	tables	table	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	28	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	652	29	performed	perform	VBD
work_les4de22qzd4pkbxjnruyovkn4	652	30	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	652	31	computation	computation	NN
work_les4de22qzd4pkbxjnruyovkn4	652	32	work	work	NN
work_les4de22qzd4pkbxjnruyovkn4	652	33	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	652	34	reviewed	review	VBN
work_les4de22qzd4pkbxjnruyovkn4	652	35	drafts	draft	NNS
work_les4de22qzd4pkbxjnruyovkn4	652	36	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	652	37	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	652	38	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	652	39	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	653	1	�	�	NNP
work_les4de22qzd4pkbxjnruyovkn4	653	2	Eibe	Eibe	NNP
work_les4de22qzd4pkbxjnruyovkn4	653	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	653	4	conceived	conceive	VBD
work_les4de22qzd4pkbxjnruyovkn4	653	5	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	653	6	designed	design	VBD
work_les4de22qzd4pkbxjnruyovkn4	653	7	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	653	8	experiments	experiment	NNS
work_les4de22qzd4pkbxjnruyovkn4	653	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	653	10	wrote	write	VBD
work_les4de22qzd4pkbxjnruyovkn4	653	11	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	653	12	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	653	13	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	653	14	reviewed	review	VBN
work_les4de22qzd4pkbxjnruyovkn4	653	15	drafts	draft	NNS
work_les4de22qzd4pkbxjnruyovkn4	653	16	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	653	17	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	653	18	paper	paper	NN
work_les4de22qzd4pkbxjnruyovkn4	653	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	654	1	Data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	654	2	Availability	availability	NN
work_les4de22qzd4pkbxjnruyovkn4	654	3	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	654	4	following	follow	VBG
work_les4de22qzd4pkbxjnruyovkn4	654	5	information	information	NN
work_les4de22qzd4pkbxjnruyovkn4	654	6	was	be	VBD
work_les4de22qzd4pkbxjnruyovkn4	654	7	supplied	supply	VBN
work_les4de22qzd4pkbxjnruyovkn4	654	8	regarding	regard	VBG
work_les4de22qzd4pkbxjnruyovkn4	654	9	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	654	10	availability	availability	NN
work_les4de22qzd4pkbxjnruyovkn4	654	11	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	654	12	Github	Github	NNS
work_les4de22qzd4pkbxjnruyovkn4	654	13	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	654	14	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	NN
work_les4de22qzd4pkbxjnruyovkn4	654	15	REFERENCES	reference	NNS
work_les4de22qzd4pkbxjnruyovkn4	654	16	Baxter	Baxter	NNP
work_les4de22qzd4pkbxjnruyovkn4	654	17	S.	S.	NNP
work_les4de22qzd4pkbxjnruyovkn4	654	18	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	654	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	655	1	Modern	modern	JJ
work_les4de22qzd4pkbxjnruyovkn4	655	2	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	655	3	—	—	:
work_les4de22qzd4pkbxjnruyovkn4	655	4	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	655	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	656	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	656	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	656	3	https://moderngpu.github.io/	https://moderngpu.github.io/	NNP
work_les4de22qzd4pkbxjnruyovkn4	656	4	performance.html	performance.html	NNS
work_les4de22qzd4pkbxjnruyovkn4	656	5	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	656	6	accessed	access	VBN
work_les4de22qzd4pkbxjnruyovkn4	656	7	14	14	CD
work_les4de22qzd4pkbxjnruyovkn4	656	8	June	June	NNP
work_les4de22qzd4pkbxjnruyovkn4	656	9	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	656	10	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	656	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	657	1	Blelloch	Blelloch	NNP
work_les4de22qzd4pkbxjnruyovkn4	657	2	GE	GE	NNP
work_les4de22qzd4pkbxjnruyovkn4	657	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	658	1	1990	1990	CD
work_les4de22qzd4pkbxjnruyovkn4	658	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	659	1	Prefix	prefix	JJ
work_les4de22qzd4pkbxjnruyovkn4	659	2	sums	sum	NNS
work_les4de22qzd4pkbxjnruyovkn4	659	3	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	659	4	their	-PRON-	PRP$
work_les4de22qzd4pkbxjnruyovkn4	659	5	applications	application	NNS
work_les4de22qzd4pkbxjnruyovkn4	659	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	660	1	Technical	technical	JJ
work_les4de22qzd4pkbxjnruyovkn4	660	2	report	report	NN
work_les4de22qzd4pkbxjnruyovkn4	660	3	CMU	CMU	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	4	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	660	5	CS-90	CS-90	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	6	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	660	7	190	190	CD
work_les4de22qzd4pkbxjnruyovkn4	660	8	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	660	9	School	School	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	10	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	660	11	Computer	Computer	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	12	Science	Science	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	13	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	660	14	Carnegie	Carnegie	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	15	Mellon	Mellon	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	16	University	University	NNP
work_les4de22qzd4pkbxjnruyovkn4	660	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	661	1	Chen	Chen	NNP
work_les4de22qzd4pkbxjnruyovkn4	661	2	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	661	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	661	4	Guestrin	Guestrin	NNP
work_les4de22qzd4pkbxjnruyovkn4	661	5	C.	C.	NNP
work_les4de22qzd4pkbxjnruyovkn4	661	6	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	661	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	662	1	Xgboost	xgboost	NN
work_les4de22qzd4pkbxjnruyovkn4	662	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	662	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	662	4	scalable	scalable	JJ
work_les4de22qzd4pkbxjnruyovkn4	662	5	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	662	6	boosting	boost	VBG
work_les4de22qzd4pkbxjnruyovkn4	662	7	system	system	NN
work_les4de22qzd4pkbxjnruyovkn4	662	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	663	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	663	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	663	3	Proceedings	proceeding	NNS
work_les4de22qzd4pkbxjnruyovkn4	663	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	663	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	663	6	22Nd	22nd	CD
work_les4de22qzd4pkbxjnruyovkn4	663	7	ACM	ACM	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	8	SIGKDD	SIGKDD	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	9	International	International	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	10	Conference	Conference	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	11	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	663	12	Knowledge	Knowledge	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	13	Discovery	Discovery	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	14	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	663	15	Data	Data	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	16	Mining	Mining	NNP
work_les4de22qzd4pkbxjnruyovkn4	663	17	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	664	1	New	New	NNP
work_les4de22qzd4pkbxjnruyovkn4	664	2	York	York	NNP
work_les4de22qzd4pkbxjnruyovkn4	664	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	664	4	ACM	ACM	NNP
work_les4de22qzd4pkbxjnruyovkn4	664	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	664	6	785–794	785–794	CD
work_les4de22qzd4pkbxjnruyovkn4	664	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	665	1	Chiu	Chiu	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	2	C	C	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	3	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	665	4	C	C	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	665	6	Luo	Luo	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	7	G	G	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	665	9	H	H	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	665	11	Yuan	Yuan	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	12	S	S	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	13	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	665	14	M.	M.	NNP
work_les4de22qzd4pkbxjnruyovkn4	665	15	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	665	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	666	1	A	a	DT
work_les4de22qzd4pkbxjnruyovkn4	666	2	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	666	3	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	666	4	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	666	5	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	666	6	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	666	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	667	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	667	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	667	3	Proceedings	Proceedings	NNP
work_les4de22qzd4pkbxjnruyovkn4	667	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	667	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	667	6	13th	13th	JJ
work_les4de22qzd4pkbxjnruyovkn4	667	7	International	International	NNP
work_les4de22qzd4pkbxjnruyovkn4	667	8	Conference	Conference	NNP
work_les4de22qzd4pkbxjnruyovkn4	667	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	667	10	Information	Information	NNP
work_les4de22qzd4pkbxjnruyovkn4	667	11	Integration	Integration	NNP
work_les4de22qzd4pkbxjnruyovkn4	667	12	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	667	13	Web	web	NN
work_les4de22qzd4pkbxjnruyovkn4	667	14	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	667	15	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	667	16	Applications	Applications	NNPS
work_les4de22qzd4pkbxjnruyovkn4	667	17	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	667	18	Services	Services	NNPS
work_les4de22qzd4pkbxjnruyovkn4	667	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	668	1	New	New	NNP
work_les4de22qzd4pkbxjnruyovkn4	668	2	York	York	NNP
work_les4de22qzd4pkbxjnruyovkn4	668	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	668	4	ACM	ACM	NNP
work_les4de22qzd4pkbxjnruyovkn4	668	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	668	6	399–402	399–402	CD
work_les4de22qzd4pkbxjnruyovkn4	668	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	669	1	Coates	coat	VBZ
work_les4de22qzd4pkbxjnruyovkn4	669	2	A	a	NN
work_les4de22qzd4pkbxjnruyovkn4	669	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	669	4	Huval	Huval	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	5	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	669	7	Wang	Wang	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	8	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	669	10	Wu	Wu	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	11	D	D	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	669	13	Catanzaro	Catanzaro	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	14	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	669	16	Andrew	Andrew	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	17	N.	N.	NNP
work_les4de22qzd4pkbxjnruyovkn4	669	18	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	669	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	670	1	Deep	deep	JJ
work_les4de22qzd4pkbxjnruyovkn4	670	2	learning	learn	VBG
work_les4de22qzd4pkbxjnruyovkn4	670	3	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	670	4	COTS	COTS	NNP
work_les4de22qzd4pkbxjnruyovkn4	670	5	HPC	HPC	NNP
work_les4de22qzd4pkbxjnruyovkn4	670	6	systems	system	NNS
work_les4de22qzd4pkbxjnruyovkn4	670	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	671	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	671	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	671	3	Proceedings	Proceedings	NNP
work_les4de22qzd4pkbxjnruyovkn4	671	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	671	5	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	671	6	30th	30th	JJ
work_les4de22qzd4pkbxjnruyovkn4	671	7	International	International	NNP
work_les4de22qzd4pkbxjnruyovkn4	671	8	Conference	Conference	NNP
work_les4de22qzd4pkbxjnruyovkn4	671	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	671	10	Machine	Machine	NNP
work_les4de22qzd4pkbxjnruyovkn4	671	11	Learning	Learning	NNP
work_les4de22qzd4pkbxjnruyovkn4	671	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	671	13	jmlr.org	jmlr.org	NNP
work_les4de22qzd4pkbxjnruyovkn4	671	14	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	671	15	1337–1345	1337–1345	CD
work_les4de22qzd4pkbxjnruyovkn4	671	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	672	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	672	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	672	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	672	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	672	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	672	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	672	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	672	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	672	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	672	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	673	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	673	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	673	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	673	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	673	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	10	36/37	36/37	CD
work_les4de22qzd4pkbxjnruyovkn4	673	11	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	https://github.com/dmlc/xgboost/tree/master/plugin/updater_gpu	CD
work_les4de22qzd4pkbxjnruyovkn4	673	12	https://moderngpu.github.io/performance.html	https://moderngpu.github.io/performance.html	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	13	https://moderngpu.github.io/performance.html	https://moderngpu.github.io/performance.html	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	14	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	15	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	16	Eilers	Eilers	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	17	M.	M.	NNP
work_les4de22qzd4pkbxjnruyovkn4	673	18	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	673	19	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	674	1	Multireduce	multireduce	NN
work_les4de22qzd4pkbxjnruyovkn4	674	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	674	3	multiscan	multiscan	VB
work_les4de22qzd4pkbxjnruyovkn4	674	4	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	674	5	modern	modern	JJ
work_les4de22qzd4pkbxjnruyovkn4	674	6	GPUs	gpu	NNS
work_les4de22qzd4pkbxjnruyovkn4	674	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	675	1	Master	Master	NNP
work_les4de22qzd4pkbxjnruyovkn4	675	2	’s	’s	POS
work_les4de22qzd4pkbxjnruyovkn4	675	3	thesis	thesis	NN
work_les4de22qzd4pkbxjnruyovkn4	675	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	675	5	Department	Department	NNP
work_les4de22qzd4pkbxjnruyovkn4	675	6	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	675	7	Computer	Computer	NNP
work_les4de22qzd4pkbxjnruyovkn4	675	8	Science	Science	NNP
work_les4de22qzd4pkbxjnruyovkn4	675	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	675	10	University	University	NNP
work_les4de22qzd4pkbxjnruyovkn4	675	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	675	12	Copenhagen	Copenhagen	NNP
work_les4de22qzd4pkbxjnruyovkn4	675	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	676	1	Friedman	Friedman	NNP
work_les4de22qzd4pkbxjnruyovkn4	676	2	J	J	NNP
work_les4de22qzd4pkbxjnruyovkn4	676	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	676	4	Hastie	Hastie	NNP
work_les4de22qzd4pkbxjnruyovkn4	676	5	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	676	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	676	7	Tibshirani	Tibshirani	NNP
work_les4de22qzd4pkbxjnruyovkn4	676	8	R.	R.	NNP
work_les4de22qzd4pkbxjnruyovkn4	676	9	2001	2001	CD
work_les4de22qzd4pkbxjnruyovkn4	676	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	677	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	677	2	elements	element	NNS
work_les4de22qzd4pkbxjnruyovkn4	677	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	677	4	statistical	statistical	JJ
work_les4de22qzd4pkbxjnruyovkn4	677	5	learning	learning	NN
work_les4de22qzd4pkbxjnruyovkn4	677	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	678	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	678	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	678	3	Springer	Springer	NNP
work_les4de22qzd4pkbxjnruyovkn4	678	4	Series	Series	NNP
work_les4de22qzd4pkbxjnruyovkn4	678	5	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	678	6	Statistics	Statistics	NNP
work_les4de22qzd4pkbxjnruyovkn4	678	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	679	1	Vol	Vol	NNP
work_les4de22qzd4pkbxjnruyovkn4	679	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	680	1	1	1	LS
work_les4de22qzd4pkbxjnruyovkn4	680	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	681	1	Berlin	Berlin	NNP
work_les4de22qzd4pkbxjnruyovkn4	681	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	681	3	Springer	Springer	NNP
work_les4de22qzd4pkbxjnruyovkn4	681	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	681	5	337–387	337–387	CD
work_les4de22qzd4pkbxjnruyovkn4	681	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	682	1	Grahn	Grahn	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	2	H	H	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	682	4	Lavesson	Lavesson	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	5	N	N	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	682	7	Lapajne	Lapajne	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	8	MH	MH	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	682	10	Slat	Slat	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	11	D.	D.	NNP
work_les4de22qzd4pkbxjnruyovkn4	682	12	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	682	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	683	1	CudaRF	cudarf	JJ
work_les4de22qzd4pkbxjnruyovkn4	683	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	683	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	683	4	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	683	5	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	683	6	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	683	7	implementation	implementation	NN
work_les4de22qzd4pkbxjnruyovkn4	683	8	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	683	9	random	random	JJ
work_les4de22qzd4pkbxjnruyovkn4	683	10	forests	forest	NNS
work_les4de22qzd4pkbxjnruyovkn4	683	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	684	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	684	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	684	3	Proceedings	proceeding	NNS
work_les4de22qzd4pkbxjnruyovkn4	684	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	684	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	684	6	9th	9th	JJ
work_les4de22qzd4pkbxjnruyovkn4	684	7	IEEE	IEEE	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	8	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	684	9	ACS	ACS	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	10	International	International	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	11	Conference	Conference	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	12	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	684	13	Computer	Computer	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	14	Systems	Systems	NNPS
work_les4de22qzd4pkbxjnruyovkn4	684	15	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	684	16	Applications	Applications	NNPS
work_les4de22qzd4pkbxjnruyovkn4	684	17	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	684	18	IEEE	IEEE	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	19	Computer	Computer	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	20	Society	Society	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	21	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	684	22	95–101	95–101	NNP
work_les4de22qzd4pkbxjnruyovkn4	684	23	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	685	1	Hall	Hall	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	2	M	M	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	685	4	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	5	E	E	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	685	7	Holmes	Holmes	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	8	G	G	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	9	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	685	10	Pfahringer	Pfahringer	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	11	B	B	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	12	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	685	13	Reutemann	Reutemann	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	14	P	P	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	685	16	Witten	Witten	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	17	IH	IH	NNP
work_les4de22qzd4pkbxjnruyovkn4	685	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	686	1	2009	2009	CD
work_les4de22qzd4pkbxjnruyovkn4	686	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	687	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	687	2	WEKA	WEKA	NNP
work_les4de22qzd4pkbxjnruyovkn4	687	3	data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	687	4	mining	mining	NN
work_les4de22qzd4pkbxjnruyovkn4	687	5	software	software	NN
work_les4de22qzd4pkbxjnruyovkn4	687	6	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	687	7	an	an	DT
work_les4de22qzd4pkbxjnruyovkn4	687	8	update	update	NN
work_les4de22qzd4pkbxjnruyovkn4	687	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	688	1	ACM	ACM	NNP
work_les4de22qzd4pkbxjnruyovkn4	688	2	SIGKDD	SIGKDD	NNP
work_les4de22qzd4pkbxjnruyovkn4	688	3	Explorations	Explorations	NNPS
work_les4de22qzd4pkbxjnruyovkn4	688	4	Newsletter	Newsletter	NNP
work_les4de22qzd4pkbxjnruyovkn4	688	5	11(1):10–18	11(1):10–18	CD
work_les4de22qzd4pkbxjnruyovkn4	688	6	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	688	7	10.1145/1656274.1656278	10.1145/1656274.1656278	NNP
work_les4de22qzd4pkbxjnruyovkn4	688	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	689	1	Harris	Harris	NNP
work_les4de22qzd4pkbxjnruyovkn4	689	2	M.	M.	NNP
work_les4de22qzd4pkbxjnruyovkn4	689	3	2007	2007	CD
work_les4de22qzd4pkbxjnruyovkn4	689	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	690	1	Optimizing	optimize	VBG
work_les4de22qzd4pkbxjnruyovkn4	690	2	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	690	3	reduction	reduction	NN
work_les4de22qzd4pkbxjnruyovkn4	690	4	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	690	5	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	690	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	691	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	691	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	691	3	http://developer.download	http://developer.download	NN
work_les4de22qzd4pkbxjnruyovkn4	691	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	692	1	nvidia.com/assets/cuda/files/reduction.pdf	nvidia.com/assets/cuda/files/reduction.pdf	NNP
work_les4de22qzd4pkbxjnruyovkn4	692	2	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	692	3	accessed	access	VBN
work_les4de22qzd4pkbxjnruyovkn4	692	4	31	31	CD
work_les4de22qzd4pkbxjnruyovkn4	692	5	March	March	NNP
work_les4de22qzd4pkbxjnruyovkn4	692	6	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	692	7	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	692	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	693	1	Harris	Harris	NNP
work_les4de22qzd4pkbxjnruyovkn4	693	2	M.	M.	NNP
work_les4de22qzd4pkbxjnruyovkn4	693	3	2013	2013	CD
work_les4de22qzd4pkbxjnruyovkn4	693	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	694	1	How	how	WRB
work_les4de22qzd4pkbxjnruyovkn4	694	2	to	to	TO
work_les4de22qzd4pkbxjnruyovkn4	694	3	access	access	VB
work_les4de22qzd4pkbxjnruyovkn4	694	4	global	global	JJ
work_les4de22qzd4pkbxjnruyovkn4	694	5	memory	memory	NN
work_les4de22qzd4pkbxjnruyovkn4	694	6	efficiently	efficiently	RB
work_les4de22qzd4pkbxjnruyovkn4	694	7	in	in	IN
work_les4de22qzd4pkbxjnruyovkn4	694	8	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	694	9	C	C	NNP
work_les4de22qzd4pkbxjnruyovkn4	694	10	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	694	11	C++	C++	NNP
work_les4de22qzd4pkbxjnruyovkn4	694	12	kernels	kernel	NNS
work_les4de22qzd4pkbxjnruyovkn4	694	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	695	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	695	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	695	3	http://devblogs.nvidia.com/parallelforall/how-access-global-memory-efficiently-cuda-c-kernels/	http://devblogs.nvidia.com/parallelforall/how-access-global-memory-efficiently-cuda-c-kernels/	NNP
work_les4de22qzd4pkbxjnruyovkn4	695	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	695	5	accessed	access	VBN
work_les4de22qzd4pkbxjnruyovkn4	695	6	24	24	CD
work_les4de22qzd4pkbxjnruyovkn4	695	7	November	November	NNP
work_les4de22qzd4pkbxjnruyovkn4	695	8	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	695	9	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	695	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	696	1	Harris	Harris	NNP
work_les4de22qzd4pkbxjnruyovkn4	696	2	M	M	NNP
work_les4de22qzd4pkbxjnruyovkn4	696	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	696	4	Sengupta	Sengupta	NNP
work_les4de22qzd4pkbxjnruyovkn4	696	5	S	S	NNP
work_les4de22qzd4pkbxjnruyovkn4	696	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	696	7	Owens	Owens	NNP
work_les4de22qzd4pkbxjnruyovkn4	696	8	JD	JD	NNP
work_les4de22qzd4pkbxjnruyovkn4	696	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	697	1	2007	2007	CD
work_les4de22qzd4pkbxjnruyovkn4	697	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	698	1	Parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	698	2	prefix	prefix	NN
work_les4de22qzd4pkbxjnruyovkn4	698	3	sum	sum	NN
work_les4de22qzd4pkbxjnruyovkn4	698	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	698	5	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	698	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	698	7	with	with	IN
work_les4de22qzd4pkbxjnruyovkn4	698	8	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	698	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	699	1	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	699	2	Gems	Gems	NNPS
work_les4de22qzd4pkbxjnruyovkn4	699	3	3(39):851–876	3(39):851–876	PRP
work_les4de22qzd4pkbxjnruyovkn4	699	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	700	1	Higham	Higham	NNP
work_les4de22qzd4pkbxjnruyovkn4	700	2	NJ	NJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	700	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	701	1	1993	1993	CD
work_les4de22qzd4pkbxjnruyovkn4	701	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	702	1	The	the	DT
work_les4de22qzd4pkbxjnruyovkn4	702	2	accuracy	accuracy	NN
work_les4de22qzd4pkbxjnruyovkn4	702	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	702	4	floating	float	VBG
work_les4de22qzd4pkbxjnruyovkn4	702	5	point	point	NN
work_les4de22qzd4pkbxjnruyovkn4	702	6	summation	summation	NN
work_les4de22qzd4pkbxjnruyovkn4	702	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	703	1	SIAM	SIAM	NNP
work_les4de22qzd4pkbxjnruyovkn4	703	2	Journal	Journal	NNP
work_les4de22qzd4pkbxjnruyovkn4	703	3	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	703	4	Scientific	Scientific	NNP
work_les4de22qzd4pkbxjnruyovkn4	703	5	Computing	Computing	NNP
work_les4de22qzd4pkbxjnruyovkn4	703	6	14(4):783–799	14(4):783–799	CD
work_les4de22qzd4pkbxjnruyovkn4	703	7	DOI	doi	NN
work_les4de22qzd4pkbxjnruyovkn4	703	8	10.1137/0914050	10.1137/0914050	CD
work_les4de22qzd4pkbxjnruyovkn4	703	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	704	1	Hillis	Hillis	NNP
work_les4de22qzd4pkbxjnruyovkn4	704	2	WD	WD	NNP
work_les4de22qzd4pkbxjnruyovkn4	704	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	704	4	Steele	Steele	NNP
work_les4de22qzd4pkbxjnruyovkn4	704	5	GL	GL	NNP
work_les4de22qzd4pkbxjnruyovkn4	704	6	Jr.	Jr.	NNP
work_les4de22qzd4pkbxjnruyovkn4	704	7	1986	1986	CD
work_les4de22qzd4pkbxjnruyovkn4	704	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	705	1	Data	datum	NNS
work_les4de22qzd4pkbxjnruyovkn4	705	2	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	705	3	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	705	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	706	1	Communications	communication	NNS
work_les4de22qzd4pkbxjnruyovkn4	706	2	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	706	3	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	706	4	ACM	ACM	NNP
work_les4de22qzd4pkbxjnruyovkn4	706	5	29(12):1170–1183	29(12):1170–1183	CD
work_les4de22qzd4pkbxjnruyovkn4	706	6	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	706	7	10.1007/978	10.1007/978	CD
work_les4de22qzd4pkbxjnruyovkn4	706	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	706	9	1	1	CD
work_les4de22qzd4pkbxjnruyovkn4	706	10	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	706	11	4612	4612	CD
work_les4de22qzd4pkbxjnruyovkn4	706	12	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	706	13	1220	1220	CD
work_les4de22qzd4pkbxjnruyovkn4	706	14	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	706	15	1_11	1_11	CD
work_les4de22qzd4pkbxjnruyovkn4	706	16	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	707	1	Hoberock	Hoberock	NNP
work_les4de22qzd4pkbxjnruyovkn4	707	2	J	J	NNP
work_les4de22qzd4pkbxjnruyovkn4	707	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	707	4	Bell	Bell	NNP
work_les4de22qzd4pkbxjnruyovkn4	707	5	N.	N.	NNP
work_les4de22qzd4pkbxjnruyovkn4	707	6	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	707	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	708	1	Thrust	Thrust	VBN
work_les4de22qzd4pkbxjnruyovkn4	708	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	708	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	708	4	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	708	5	template	template	NN
work_les4de22qzd4pkbxjnruyovkn4	708	6	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	708	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	709	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	709	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	709	3	https://thrust.github.io/.	https://thrust.github.io/.	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	1	Lo	Lo	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	2	W	W	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	3	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	710	4	T	T	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	5	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	710	6	Chang	Chang	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	7	Y	Y	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	710	9	S	S	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	10	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	710	11	Sheu	Sheu	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	12	R	R	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	13	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	710	14	K	K	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	15	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	710	16	Chiu	Chiu	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	17	C	C	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	18	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	710	19	C	C	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	20	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	710	21	Yuan	Yuan	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	22	S	S	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	23	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	710	24	M.	M.	NNP
work_les4de22qzd4pkbxjnruyovkn4	710	25	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	710	26	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	711	1	CUDT	CUDT	NNP
work_les4de22qzd4pkbxjnruyovkn4	711	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	711	3	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	711	4	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	711	5	based	base	VBN
work_les4de22qzd4pkbxjnruyovkn4	711	6	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	711	7	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	711	8	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	711	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	712	1	Scientific	scientific	JJ
work_les4de22qzd4pkbxjnruyovkn4	712	2	World	World	NNP
work_les4de22qzd4pkbxjnruyovkn4	712	3	Journal	Journal	NNP
work_les4de22qzd4pkbxjnruyovkn4	712	4	2014:1–12	2014:1–12	CD
work_les4de22qzd4pkbxjnruyovkn4	712	5	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	712	6	10.1155/2014/745640	10.1155/2014/745640	CD
work_les4de22qzd4pkbxjnruyovkn4	712	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	713	1	Matloff	Matloff	NNP
work_les4de22qzd4pkbxjnruyovkn4	713	2	N.	N.	NNP
work_les4de22qzd4pkbxjnruyovkn4	713	3	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	713	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	714	1	Programming	program	VBG
work_les4de22qzd4pkbxjnruyovkn4	714	2	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	714	3	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	714	4	machines	machine	NNS
work_les4de22qzd4pkbxjnruyovkn4	714	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	715	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	715	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	715	3	http://heather.cs.ucdavis.edu/	http://heather.cs.ucdavis.edu/	ADD
work_les4de22qzd4pkbxjnruyovkn4	715	4	~matloff/158	~matloff/158	NNP
work_les4de22qzd4pkbxjnruyovkn4	715	5	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	715	6	PLN	PLN	NNP
work_les4de22qzd4pkbxjnruyovkn4	715	7	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	715	8	ParProcBook.pdf	parprocbook.pdf	NN
work_les4de22qzd4pkbxjnruyovkn4	715	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	716	1	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	716	2	D	D	NNP
work_les4de22qzd4pkbxjnruyovkn4	716	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	716	4	Grimshaw	Grimshaw	NNP
work_les4de22qzd4pkbxjnruyovkn4	716	5	A.	A.	NNP
work_les4de22qzd4pkbxjnruyovkn4	717	1	2011	2011	CD
work_les4de22qzd4pkbxjnruyovkn4	717	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	718	1	High	high	JJ
work_les4de22qzd4pkbxjnruyovkn4	718	2	performance	performance	NN
work_les4de22qzd4pkbxjnruyovkn4	718	3	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	718	4	scalable	scalable	JJ
work_les4de22qzd4pkbxjnruyovkn4	718	5	radix	radix	NNP
work_les4de22qzd4pkbxjnruyovkn4	718	6	sorting	sort	VBG
work_les4de22qzd4pkbxjnruyovkn4	718	7	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	718	8	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	718	9	case	case	NN
work_les4de22qzd4pkbxjnruyovkn4	718	10	study	study	NN
work_les4de22qzd4pkbxjnruyovkn4	718	11	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	718	12	implementing	implement	VBG
work_les4de22qzd4pkbxjnruyovkn4	718	13	dynamic	dynamic	JJ
work_les4de22qzd4pkbxjnruyovkn4	718	14	parallelism	parallelism	NN
work_les4de22qzd4pkbxjnruyovkn4	718	15	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	718	16	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	718	17	computing	computing	NN
work_les4de22qzd4pkbxjnruyovkn4	718	18	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	719	1	Parallel	Parallel	NNP
work_les4de22qzd4pkbxjnruyovkn4	719	2	Processing	Processing	NNP
work_les4de22qzd4pkbxjnruyovkn4	719	3	Letters	Letters	NNPS
work_les4de22qzd4pkbxjnruyovkn4	719	4	21(2):245–272	21(2):245–272	CD
work_les4de22qzd4pkbxjnruyovkn4	719	5	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	719	6	10.1142	10.1142	CD
work_les4de22qzd4pkbxjnruyovkn4	719	7	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	719	8	s0129626411000187	s0129626411000187	NNP
work_les4de22qzd4pkbxjnruyovkn4	719	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	720	1	Merrill	Merrill	NNP
work_les4de22qzd4pkbxjnruyovkn4	720	2	D	D	NNP
work_les4de22qzd4pkbxjnruyovkn4	720	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	720	4	NVIDIA	NVIDIA	NNP
work_les4de22qzd4pkbxjnruyovkn4	720	5	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	720	6	Labs	Labs	NNP
work_les4de22qzd4pkbxjnruyovkn4	720	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	721	1	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	721	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	722	1	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	722	2	UnBound	UnBound	NNP
work_les4de22qzd4pkbxjnruyovkn4	722	3	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	722	4	CUB	CUB	NNP
work_les4de22qzd4pkbxjnruyovkn4	722	5	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	722	6	library	library	NN
work_les4de22qzd4pkbxjnruyovkn4	722	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	723	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	723	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	723	3	http://nvlabs.github	http://nvlabs.github	NNP
work_les4de22qzd4pkbxjnruyovkn4	723	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	724	1	io	io	NNP
work_les4de22qzd4pkbxjnruyovkn4	724	2	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	724	3	cub/.	cub/.	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	1	Nasridinov	Nasridinov	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	2	A	A	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	725	4	Lee	Lee	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	5	Y	Y	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	6	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	725	7	Park	Park	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	8	Y	Y	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	9	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	725	10	H.	H.	NNP
work_les4de22qzd4pkbxjnruyovkn4	725	11	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	725	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	726	1	Decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	726	2	tree	tree	NN
work_les4de22qzd4pkbxjnruyovkn4	726	3	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	726	4	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	726	5	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	726	6	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	726	7	ubiquitous	ubiquitous	JJ
work_les4de22qzd4pkbxjnruyovkn4	726	8	parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	726	9	computing	computing	NN
work_les4de22qzd4pkbxjnruyovkn4	726	10	approach	approach	NN
work_les4de22qzd4pkbxjnruyovkn4	726	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	727	1	Computing	compute	VBG
work_les4de22qzd4pkbxjnruyovkn4	727	2	96(5):403–413	96(5):403–413	CD
work_les4de22qzd4pkbxjnruyovkn4	727	3	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	727	4	10.1007	10.1007	CD
work_les4de22qzd4pkbxjnruyovkn4	727	5	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	727	6	s00607	s00607	CD
work_les4de22qzd4pkbxjnruyovkn4	727	7	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	727	8	013	013	CD
work_les4de22qzd4pkbxjnruyovkn4	727	9	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	727	10	0343-z	0343-z	NN
work_les4de22qzd4pkbxjnruyovkn4	727	11	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	728	1	Nvidia	Nvidia	NNP
work_les4de22qzd4pkbxjnruyovkn4	728	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	729	1	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	729	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	730	1	Block	Block	NNP
work_les4de22qzd4pkbxjnruyovkn4	730	2	scan	scan	NNP
work_les4de22qzd4pkbxjnruyovkn4	730	3	algorithms	algorithm	NNS
work_les4de22qzd4pkbxjnruyovkn4	730	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	731	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	731	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	731	3	http://nvlabs.github.io/cub/namespacecub	http://nvlabs.github.io/cub/namespacecub	NNP
work_les4de22qzd4pkbxjnruyovkn4	731	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	732	1	html#abec44bba36037c547e7e84906d0d23ab	html#abec44bba36037c547e7e84906d0d23ab	ADD
work_les4de22qzd4pkbxjnruyovkn4	732	2	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	732	3	accessed	access	VBN
work_les4de22qzd4pkbxjnruyovkn4	732	4	30	30	CD
work_les4de22qzd4pkbxjnruyovkn4	732	5	December	December	NNP
work_les4de22qzd4pkbxjnruyovkn4	732	6	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	732	7	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	732	8	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	733	1	Nvidia	Nvidia	NNP
work_les4de22qzd4pkbxjnruyovkn4	733	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	734	1	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	734	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	735	1	CUDA	CUDA	NNP
work_les4de22qzd4pkbxjnruyovkn4	735	2	C	C	NNP
work_les4de22qzd4pkbxjnruyovkn4	735	3	programming	programming	NN
work_les4de22qzd4pkbxjnruyovkn4	735	4	guide	guide	NN
work_les4de22qzd4pkbxjnruyovkn4	735	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	736	1	Available	available	JJ
work_les4de22qzd4pkbxjnruyovkn4	736	2	at	at	IN
work_les4de22qzd4pkbxjnruyovkn4	736	3	http://docs.nvidia.com/cuda/index.html	http://docs.nvidia.com/cuda/index.html	ADD
work_les4de22qzd4pkbxjnruyovkn4	736	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	737	1	Quinlan	Quinlan	NNP
work_les4de22qzd4pkbxjnruyovkn4	737	2	JR	JR	NNP
work_les4de22qzd4pkbxjnruyovkn4	737	3	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	737	4	2014	2014	CD
work_les4de22qzd4pkbxjnruyovkn4	737	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	738	1	C4.5	C4.5	NNP
work_les4de22qzd4pkbxjnruyovkn4	738	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	738	3	Programs	program	NNS
work_les4de22qzd4pkbxjnruyovkn4	738	4	for	for	IN
work_les4de22qzd4pkbxjnruyovkn4	738	5	Machine	Machine	NNP
work_les4de22qzd4pkbxjnruyovkn4	738	6	Learning	Learning	NNP
work_les4de22qzd4pkbxjnruyovkn4	738	7	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	739	1	San	San	NNP
work_les4de22qzd4pkbxjnruyovkn4	739	2	Francisco	Francisco	NNP
work_les4de22qzd4pkbxjnruyovkn4	739	3	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	739	4	Elsevier	Elsevier	NNP
work_les4de22qzd4pkbxjnruyovkn4	739	5	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	740	1	Sharp	Sharp	NNP
work_les4de22qzd4pkbxjnruyovkn4	740	2	T.	T.	NNP
work_les4de22qzd4pkbxjnruyovkn4	740	3	2008	2008	CD
work_les4de22qzd4pkbxjnruyovkn4	740	4	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	741	1	Implementing	implement	VBG
work_les4de22qzd4pkbxjnruyovkn4	741	2	decision	decision	NN
work_les4de22qzd4pkbxjnruyovkn4	741	3	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	741	4	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	741	5	forests	forest	NNS
work_les4de22qzd4pkbxjnruyovkn4	741	6	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	741	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	741	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	741	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	742	1	In	in	IN
work_les4de22qzd4pkbxjnruyovkn4	742	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	742	3	Proceedings	proceeding	NNS
work_les4de22qzd4pkbxjnruyovkn4	742	4	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	742	5	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	742	6	10th	10th	JJ
work_les4de22qzd4pkbxjnruyovkn4	742	7	European	European	NNP
work_les4de22qzd4pkbxjnruyovkn4	742	8	Conference	Conference	NNP
work_les4de22qzd4pkbxjnruyovkn4	742	9	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	742	10	Computer	Computer	NNP
work_les4de22qzd4pkbxjnruyovkn4	742	11	Vision	vision	NN
work_les4de22qzd4pkbxjnruyovkn4	742	12	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	743	1	Berlin	Berlin	NNP
work_les4de22qzd4pkbxjnruyovkn4	743	2	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	743	3	Springer	Springer	NNP
work_les4de22qzd4pkbxjnruyovkn4	743	4	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	743	5	595–608	595–608	CD
work_les4de22qzd4pkbxjnruyovkn4	743	6	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	744	1	Strnad	Strnad	NNP
work_les4de22qzd4pkbxjnruyovkn4	744	2	D	D	NNP
work_les4de22qzd4pkbxjnruyovkn4	744	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	744	4	Nerat	Nerat	NNP
work_les4de22qzd4pkbxjnruyovkn4	744	5	A.	a.	NN
work_les4de22qzd4pkbxjnruyovkn4	745	1	2016	2016	CD
work_les4de22qzd4pkbxjnruyovkn4	745	2	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	746	1	Parallel	parallel	JJ
work_les4de22qzd4pkbxjnruyovkn4	746	2	construction	construction	NN
work_les4de22qzd4pkbxjnruyovkn4	746	3	of	of	IN
work_les4de22qzd4pkbxjnruyovkn4	746	4	classification	classification	NN
work_les4de22qzd4pkbxjnruyovkn4	746	5	trees	tree	NNS
work_les4de22qzd4pkbxjnruyovkn4	746	6	on	on	IN
work_les4de22qzd4pkbxjnruyovkn4	746	7	a	a	DT
work_les4de22qzd4pkbxjnruyovkn4	746	8	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	746	9	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	747	1	Concurrency	Concurrency	NNP
work_les4de22qzd4pkbxjnruyovkn4	747	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	747	3	Computation	Computation	NNP
work_les4de22qzd4pkbxjnruyovkn4	747	4	:	:	:
work_les4de22qzd4pkbxjnruyovkn4	747	5	Practice	Practice	NNP
work_les4de22qzd4pkbxjnruyovkn4	747	6	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	747	7	Experience	Experience	NNP
work_les4de22qzd4pkbxjnruyovkn4	747	8	28(5):1417–1436	28(5):1417–1436	CD
work_les4de22qzd4pkbxjnruyovkn4	747	9	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	747	10	10.1002	10.1002	CD
work_les4de22qzd4pkbxjnruyovkn4	747	11	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	747	12	cpe.3660	cpe.3660	FW
work_les4de22qzd4pkbxjnruyovkn4	747	13	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	748	1	Mitchell	Mitchell	NNP
work_les4de22qzd4pkbxjnruyovkn4	748	2	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	748	3	Frank	Frank	NNP
work_les4de22qzd4pkbxjnruyovkn4	748	4	(	(	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	748	5	2017	2017	CD
work_les4de22qzd4pkbxjnruyovkn4	748	6	)	)	-RRB-
work_les4de22qzd4pkbxjnruyovkn4	748	7	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	748	8	PeerJ	PeerJ	NNP
work_les4de22qzd4pkbxjnruyovkn4	748	9	Comput	Comput	NNP
work_les4de22qzd4pkbxjnruyovkn4	748	10	.	.	.
work_les4de22qzd4pkbxjnruyovkn4	749	1	Sci	Sci	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	2	.	.	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	3	,	,	,
work_les4de22qzd4pkbxjnruyovkn4	749	4	DOI	DOI	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	5	10.7717	10.7717	CD
work_les4de22qzd4pkbxjnruyovkn4	749	6	/	/	SYM
work_les4de22qzd4pkbxjnruyovkn4	749	7	peerj	peerj	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	8	-	-	HYPH
work_les4de22qzd4pkbxjnruyovkn4	749	9	cs.127	cs.127	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	10	37/37	37/37	CD
work_les4de22qzd4pkbxjnruyovkn4	749	11	http://dx.doi.org/10.1145/1656274.1656278	http://dx.doi.org/10.1145/1656274.1656278	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	12	http://developer.download.nvidia.com/assets/cuda/files/reduction.pdf	http://developer.download.nvidia.com/assets/cuda/files/reduction.pdf	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	13	http://developer.download.nvidia.com/assets/cuda/files/reduction.pdf	http://developer.download.nvidia.com/assets/cuda/files/reduction.pdf	CD
work_les4de22qzd4pkbxjnruyovkn4	749	14	http://devblogs.nvidia.com/parallelforall/how-access-global-memory-efficiently-cuda-c-kernels/	http://devblogs.nvidia.com/parallelforall/how-access-global-memory-efficiently-cuda-c-kernels/	CD
work_les4de22qzd4pkbxjnruyovkn4	749	15	http://dx.doi.org/10.1137/0914050	http://dx.doi.org/10.1137/0914050	CD
work_les4de22qzd4pkbxjnruyovkn4	749	16	http://dx.doi.org/10.1007/978-1-4612-1220-1_11	http://dx.doi.org/10.1007/978-1-4612-1220-1_11	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	17	https://thrust.github.io/	https://thrust.github.io/	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	18	http://dx.doi.org/10.1155/2014/745640	http://dx.doi.org/10.1155/2014/745640	-LRB-
work_les4de22qzd4pkbxjnruyovkn4	749	19	http://heather.cs.ucdavis.edu/~matloff/158/PLN/ParProcBook.pdf	http://heather.cs.ucdavis.edu/~matloff/158/PLN/ParProcBook.pdf	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	20	http://heather.cs.ucdavis.edu/~matloff/158/PLN/ParProcBook.pdf	http://heather.cs.ucdavis.edu/~matloff/158/PLN/ParProcBook.pdf	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	21	http://dx.doi.org/10.1142/s0129626411000187	http://dx.doi.org/10.1142/s0129626411000187	VB
work_les4de22qzd4pkbxjnruyovkn4	749	22	http://nvlabs.github.io/cub/	http://nvlabs.github.io/cub/	PRP
work_les4de22qzd4pkbxjnruyovkn4	749	23	http://nvlabs.github.io/cub/	http://nvlabs.github.io/cub/	CD
work_les4de22qzd4pkbxjnruyovkn4	749	24	http://dx.doi.org/10.1007/s00607-013-0343-z	http://dx.doi.org/10.1007/s00607-013-0343-z	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	25	http://nvlabs.github.io/cub/namespacecub.html#abec44bba36037c547e7e84906d0d23ab	http://nvlabs.github.io/cub/namespacecub.html#abec44bba36037c547e7e84906d0d23ab	CD
work_les4de22qzd4pkbxjnruyovkn4	749	26	http://nvlabs.github.io/cub/namespacecub.html#abec44bba36037c547e7e84906d0d23ab	http://nvlabs.github.io/cub/namespacecub.html#abec44bba36037c547e7e84906d0d23ab	CD
work_les4de22qzd4pkbxjnruyovkn4	749	27	http://docs.nvidia.com/cuda/index.html	http://docs.nvidia.com/cuda/index.html	.
work_les4de22qzd4pkbxjnruyovkn4	749	28	http://dx.doi.org/10.1002/cpe.3660	http://dx.doi.org/10.1002/cpe.3660	ADD
work_les4de22qzd4pkbxjnruyovkn4	749	29	http://dx.doi.org/10.7717/peerj-cs.127	http://dx.doi.org/10.7717/peerj-cs.127	ADD
work_les4de22qzd4pkbxjnruyovkn4	749	30	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	31	Accelerating	accelerate	VBG
work_les4de22qzd4pkbxjnruyovkn4	749	32	the	the	DT
work_les4de22qzd4pkbxjnruyovkn4	749	33	XGBoost	XGBoost	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	34	algorithm	algorithm	NN
work_les4de22qzd4pkbxjnruyovkn4	749	35	using	use	VBG
work_les4de22qzd4pkbxjnruyovkn4	749	36	GPU	GPU	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	37	computing	compute	VBG
work_les4de22qzd4pkbxjnruyovkn4	749	38	Introduction	Introduction	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	39	Background	Background	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	40	and	and	CC
work_les4de22qzd4pkbxjnruyovkn4	749	41	Related	Related	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	42	Work	Work	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	43	Parallel	Parallel	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	44	Tree	Tree	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	45	Construction	Construction	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	46	Evaluation	Evaluation	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	47	Conclusion	Conclusion	NNP
work_les4de22qzd4pkbxjnruyovkn4	749	48	References	reference	NNS