id	sid	tid	token	lemma	pos
p5547p91s2q	1	1	although	although	SCONJ
p5547p91s2q	1	2	moore	moore	PROPN
p5547p91s2q	1	3	's	's	PART
p5547p91s2q	1	4	law	law	NOUN
p5547p91s2q	1	5	held	hold	VERB
p5547p91s2q	1	6	for	for	ADP
p5547p91s2q	1	7	many	many	ADJ
p5547p91s2q	1	8	decades	decade	NOUN
p5547p91s2q	1	9	,	,	PUNCT
p5547p91s2q	1	10	the	the	DET
p5547p91s2q	1	11	gap	gap	NOUN
p5547p91s2q	1	12	between	between	ADP
p5547p91s2q	1	13	moore	moore	NOUN
p5547p91s2q	1	14	's	's	PART
p5547p91s2q	1	15	prediction	prediction	NOUN
p5547p91s2q	1	16	and	and	CCONJ
p5547p91s2q	1	17	current	current	ADJ
p5547p91s2q	1	18	capability	capability	NOUN
p5547p91s2q	1	19	has	have	AUX
p5547p91s2q	1	20	become	become	VERB
p5547p91s2q	1	21	larger	large	ADJ
p5547p91s2q	1	22	.	.	PUNCT
p5547p91s2q	2	1	as	as	SCONJ
p5547p91s2q	2	2	cost	cost	NOUN
p5547p91s2q	2	3	and	and	CCONJ
p5547p91s2q	2	4	performance	performance	NOUN
p5547p91s2q	2	5	benefits	benefit	NOUN
p5547p91s2q	2	6	associated	associate	VERB
p5547p91s2q	2	7	with	with	ADP
p5547p91s2q	2	8	moore	moore	NOUN
p5547p91s2q	2	9	's	's	PART
p5547p91s2q	2	10	law	law	NOUN
p5547p91s2q	2	11	scaling	scale	VERB
p5547p91s2q	2	12	slow	slow	ADV
p5547p91s2q	2	13	,	,	PUNCT
p5547p91s2q	2	14	researchers	researcher	NOUN
p5547p91s2q	2	15	are	be	AUX
p5547p91s2q	2	16	studying	study	VERB
p5547p91s2q	2	17	alternative	alternative	ADJ
p5547p91s2q	2	18	architectures	architecture	NOUN
p5547p91s2q	2	19	(	(	PUNCT
p5547p91s2q	2	20	e.g.	e.g.	ADV
p5547p91s2q	2	21	,	,	PUNCT
p5547p91s2q	2	22	based	base	VERB
p5547p91s2q	2	23	on	on	ADP
p5547p91s2q	2	24	analog	analog	NOUN
p5547p91s2q	2	25	and/or	and/or	CCONJ
p5547p91s2q	2	26	spiking	spiking	ADJ
p5547p91s2q	2	27	circuits	circuit	NOUN
p5547p91s2q	2	28	)	)	PUNCT
p5547p91s2q	2	29	and/or	and/or	CCONJ
p5547p91s2q	2	30	computational	computational	ADJ
p5547p91s2q	2	31	models	model	NOUN
p5547p91s2q	2	32	(	(	PUNCT
p5547p91s2q	2	33	e.g.	e.g.	ADV
p5547p91s2q	2	34	,	,	PUNCT
p5547p91s2q	2	35	convolutional	convolutional	ADJ
p5547p91s2q	2	36	and	and	CCONJ
p5547p91s2q	2	37	recurrent	recurrent	ADJ
p5547p91s2q	2	38	neural	neural	ADJ
p5547p91s2q	2	39	networks	network	NOUN
p5547p91s2q	2	40	)	)	PUNCT
p5547p91s2q	2	41	to	to	PART
p5547p91s2q	2	42	perform	perform	VERB
p5547p91s2q	2	43	application	application	NOUN
p5547p91s2q	2	44	level	level	NOUN
p5547p91s2q	2	45	tasks	task	NOUN
p5547p91s2q	2	46	faster	fast	ADV
p5547p91s2q	2	47	,	,	PUNCT
p5547p91s2q	2	48	more	more	ADJ
p5547p91s2q	2	49	energy	energy	NOUN
p5547p91s2q	2	50	efficient	efficient	ADJ
p5547p91s2q	2	51	and/or	and/or	CCONJ
p5547p91s2q	2	52	more	more	ADJ
p5547p91s2q	2	53	accurately.one	accurately.one	NUM
p5547p91s2q	2	54	one	one	NUM
p5547p91s2q	2	55	side	side	NOUN
p5547p91s2q	2	56	,	,	PUNCT
p5547p91s2q	2	57	more	more	ADJ
p5547p91s2q	2	58	domain	domain	NOUN
p5547p91s2q	2	59	-	-	PUNCT
p5547p91s2q	2	60	specific	specific	ADJ
p5547p91s2q	2	61	architectures	architecture	NOUN
p5547p91s2q	2	62	are	be	AUX
p5547p91s2q	2	63	proposed	propose	VERB
p5547p91s2q	2	64	,	,	PUNCT
p5547p91s2q	2	65	where	where	SCONJ
p5547p91s2q	2	66	a	a	DET
p5547p91s2q	2	67	hardware	hardware	NOUN
p5547p91s2q	2	68	-	-	PUNCT
p5547p91s2q	2	69	centric	centric	ADJ
p5547p91s2q	2	70	approach	approach	NOUN
p5547p91s2q	2	71	is	be	AUX
p5547p91s2q	2	72	used	use	VERB
p5547p91s2q	2	73	to	to	PART
p5547p91s2q	2	74	tailored	tailored	VERB
p5547p91s2q	2	75	the	the	DET
p5547p91s2q	2	76	architecture	architecture	NOUN
p5547p91s2q	2	77	to	to	ADP
p5547p91s2q	2	78	a	a	DET
p5547p91s2q	2	79	specific	specific	ADJ
p5547p91s2q	2	80	problem	problem	NOUN
p5547p91s2q	2	81	.	.	PUNCT
p5547p91s2q	3	1	these	these	DET
p5547p91s2q	3	2	type	type	NOUN
p5547p91s2q	3	3	of	of	ADP
p5547p91s2q	3	4	domain	domain	NOUN
p5547p91s2q	3	5	specific	specific	ADJ
p5547p91s2q	3	6	problem	problem	NOUN
p5547p91s2q	3	7	can	can	AUX
p5547p91s2q	3	8	exploit	exploit	VERB
p5547p91s2q	3	9	the	the	DET
p5547p91s2q	3	10	parallelism	parallelism	NOUN
p5547p91s2q	3	11	for	for	ADP
p5547p91s2q	3	12	the	the	DET
p5547p91s2q	3	13	specific	specific	ADJ
p5547p91s2q	3	14	domain	domain	NOUN
p5547p91s2q	3	15	,	,	PUNCT
p5547p91s2q	3	16	and	and	CCONJ
p5547p91s2q	3	17	make	make	VERB
p5547p91s2q	3	18	better	well	ADJ
p5547p91s2q	3	19	effective	effective	ADJ
p5547p91s2q	3	20	use	use	NOUN
p5547p91s2q	3	21	of	of	ADP
p5547p91s2q	3	22	the	the	DET
p5547p91s2q	3	23	memory	memory	NOUN
p5547p91s2q	3	24	hierarchy	hierarchy	NOUN
p5547p91s2q	3	25	.	.	PUNCT
p5547p91s2q	4	1	meanwhile	meanwhile	ADV
p5547p91s2q	4	2	,	,	PUNCT
p5547p91s2q	4	3	new	new	ADJ
p5547p91s2q	4	4	computational	computational	ADJ
p5547p91s2q	4	5	models	model	NOUN
p5547p91s2q	4	6	,	,	PUNCT
p5547p91s2q	4	7	especially	especially	ADV
p5547p91s2q	4	8	machine	machine	NOUN
p5547p91s2q	4	9	learning	learn	VERB
p5547p91s2q	4	10	related	relate	VERB
p5547p91s2q	4	11	algorithms	algorithm	NOUN
p5547p91s2q	4	12	have	have	AUX
p5547p91s2q	4	13	achieved	achieve	VERB
p5547p91s2q	4	14	tremendous	tremendous	ADJ
p5547p91s2q	4	15	success	success	NOUN
p5547p91s2q	4	16	in	in	ADP
p5547p91s2q	4	17	many	many	ADJ
p5547p91s2q	4	18	application	application	NOUN
p5547p91s2q	4	19	domains	domain	NOUN
p5547p91s2q	4	20	,	,	PUNCT
p5547p91s2q	4	21	specifically	specifically	ADV
p5547p91s2q	4	22	with	with	ADP
p5547p91s2q	4	23	deep	deep	ADJ
p5547p91s2q	4	24	neural	neural	ADJ
p5547p91s2q	4	25	networks	network	NOUN
p5547p91s2q	4	26	(	(	PUNCT
p5547p91s2q	4	27	dnns	dnns	PROPN
p5547p91s2q	4	28	)	)	PUNCT
p5547p91s2q	4	29	.	.	PUNCT
p5547p91s2q	5	1	the	the	DET
p5547p91s2q	5	2	design	design	NOUN
p5547p91s2q	5	3	space	space	NOUN
p5547p91s2q	5	4	of	of	ADP
p5547p91s2q	5	5	accelerator	accelerator	NOUN
p5547p91s2q	5	6	for	for	ADP
p5547p91s2q	5	7	such	such	ADJ
p5547p91s2q	5	8	computation	computation	NOUN
p5547p91s2q	5	9	can	can	AUX
p5547p91s2q	5	10	be	be	AUX
p5547p91s2q	5	11	extremely	extremely	ADV
p5547p91s2q	5	12	large	large	ADJ
p5547p91s2q	5	13	as	as	SCONJ
p5547p91s2q	5	14	they	they	PRON
p5547p91s2q	5	15	can	can	AUX
p5547p91s2q	5	16	employ	employ	VERB
p5547p91s2q	5	17	different	different	ADJ
p5547p91s2q	5	18	datapaths	datapath	NOUN
p5547p91s2q	5	19	,	,	PUNCT
p5547p91s2q	5	20	data	datum	NOUN
p5547p91s2q	5	21	mapping	mapping	NOUN
p5547p91s2q	5	22	strategies	strategy	NOUN
p5547p91s2q	5	23	,	,	PUNCT
p5547p91s2q	5	24	circuits	circuit	NOUN
p5547p91s2q	5	25	and	and	CCONJ
p5547p91s2q	5	26	device	device	NOUN
p5547p91s2q	5	27	technologies.it	technologies.it	NUM
p5547p91s2q	5	28	is	be	AUX
p5547p91s2q	5	29	hard	hard	ADJ
p5547p91s2q	5	30	to	to	PART
p5547p91s2q	5	31	quickly	quickly	ADV
p5547p91s2q	5	32	find	find	VERB
p5547p91s2q	5	33	an	an	DET
p5547p91s2q	5	34	optimal	optimal	ADJ
p5547p91s2q	5	35	design	design	NOUN
p5547p91s2q	5	36	to	to	PART
p5547p91s2q	5	37	meet	meet	VERB
p5547p91s2q	5	38	the	the	DET
p5547p91s2q	5	39	requirements	requirement	NOUN
p5547p91s2q	5	40	in	in	ADP
p5547p91s2q	5	41	certain	certain	ADJ
p5547p91s2q	5	42	applications.the	applications.the	DET
p5547p91s2q	5	43	dissertation	dissertation	NOUN
p5547p91s2q	5	44	focuses	focus	VERB
p5547p91s2q	5	45	on	on	ADP
p5547p91s2q	5	46	several	several	ADJ
p5547p91s2q	5	47	aspects	aspect	NOUN
p5547p91s2q	5	48	to	to	PART
p5547p91s2q	5	49	address	address	VERB
p5547p91s2q	5	50	the	the	DET
p5547p91s2q	5	51	challenge	challenge	NOUN
p5547p91s2q	5	52	.	.	PUNCT
p5547p91s2q	6	1	first	first	ADV
p5547p91s2q	6	2	,	,	PUNCT
p5547p91s2q	6	3	we	we	PRON
p5547p91s2q	6	4	investigated	investigate	VERB
p5547p91s2q	6	5	designing	design	VERB
p5547p91s2q	6	6	a	a	DET
p5547p91s2q	6	7	domain	domain	NOUN
p5547p91s2q	6	8	specific	specific	ADJ
p5547p91s2q	6	9	architecture	architecture	NOUN
p5547p91s2q	6	10	cellular	cellular	ADJ
p5547p91s2q	6	11	neural	neural	ADJ
p5547p91s2q	6	12	network	network	NOUN
p5547p91s2q	6	13	(	(	PUNCT
p5547p91s2q	6	14	cenn	cenn	PROPN
p5547p91s2q	6	15	)	)	PUNCT
p5547p91s2q	6	16	.	.	PUNCT
p5547p91s2q	7	1	a	a	DET
p5547p91s2q	7	2	cenn	cenn	NOUN
p5547p91s2q	7	3	is	be	AUX
p5547p91s2q	7	4	a	a	DET
p5547p91s2q	7	5	powerful	powerful	ADJ
p5547p91s2q	7	6	processor	processor	NOUN
p5547p91s2q	7	7	that	that	PRON
p5547p91s2q	7	8	can	can	AUX
p5547p91s2q	7	9	significantly	significantly	ADV
p5547p91s2q	7	10	improve	improve	VERB
p5547p91s2q	7	11	the	the	DET
p5547p91s2q	7	12	performance	performance	NOUN
p5547p91s2q	7	13	of	of	ADP
p5547p91s2q	7	14	spatio	spatio	NOUN
p5547p91s2q	7	15	-	-	ADJ
p5547p91s2q	7	16	temporal	temporal	ADJ
p5547p91s2q	7	17	applications	application	NOUN
p5547p91s2q	7	18	when	when	SCONJ
p5547p91s2q	7	19	compared	compare	VERB
p5547p91s2q	7	20	to	to	ADP
p5547p91s2q	7	21	the	the	DET
p5547p91s2q	7	22	more	more	ADV
p5547p91s2q	7	23	traditional	traditional	ADJ
p5547p91s2q	7	24	von	von	PROPN
p5547p91s2q	7	25	neumann	neumann	PROPN
p5547p91s2q	7	26	architecture	architecture	NOUN
p5547p91s2q	7	27	.	.	PUNCT
p5547p91s2q	8	1	we	we	PRON
p5547p91s2q	8	2	first	first	ADV
p5547p91s2q	8	3	show	show	VERB
p5547p91s2q	8	4	how	how	SCONJ
p5547p91s2q	8	5	tunneling	tunneling	NOUN
p5547p91s2q	8	6	field	field	NOUN
p5547p91s2q	8	7	effect	effect	NOUN
p5547p91s2q	8	8	transistor	transistor	NOUN
p5547p91s2q	8	9	(	(	PUNCT
p5547p91s2q	8	10	tfets	tfets	X
p5547p91s2q	8	11	)	)	PUNCT
p5547p91s2q	8	12	and	and	CCONJ
p5547p91s2q	8	13	mosfet	mosfet	NOUN
p5547p91s2q	8	14	can	can	AUX
p5547p91s2q	8	15	be	be	AUX
p5547p91s2q	8	16	utilized	utilize	VERB
p5547p91s2q	8	17	to	to	PART
p5547p91s2q	8	18	enhance	enhance	VERB
p5547p91s2q	8	19	the	the	DET
p5547p91s2q	8	20	performance	performance	NOUN
p5547p91s2q	8	21	of	of	ADP
p5547p91s2q	8	22	cenns	cenn	NOUN
p5547p91s2q	8	23	.	.	PUNCT
p5547p91s2q	9	1	we	we	PRON
p5547p91s2q	9	2	also	also	ADV
p5547p91s2q	9	3	show	show	VERB
p5547p91s2q	9	4	that	that	SCONJ
p5547p91s2q	9	5	tfets	tfet	NOUN
p5547p91s2q	9	6	can	can	AUX
p5547p91s2q	9	7	be	be	AUX
p5547p91s2q	9	8	useful	useful	ADJ
p5547p91s2q	9	9	to	to	PART
p5547p91s2q	9	10	realize	realize	VERB
p5547p91s2q	9	11	non	non	ADJ
p5547p91s2q	9	12	-	-	ADJ
p5547p91s2q	9	13	linear	linear	ADJ
p5547p91s2q	9	14	vccss	vccss	PROPN
p5547p91s2q	9	15	,	,	PUNCT
p5547p91s2q	9	16	which	which	PRON
p5547p91s2q	9	17	are	be	AUX
p5547p91s2q	9	18	either	either	CCONJ
p5547p91s2q	9	19	not	not	PART
p5547p91s2q	9	20	possible	possible	ADJ
p5547p91s2q	9	21	or	or	CCONJ
p5547p91s2q	9	22	exhibit	exhibit	VERB
p5547p91s2q	9	23	degraded	degraded	ADJ
p5547p91s2q	9	24	performance	performance	NOUN
p5547p91s2q	9	25	when	when	SCONJ
p5547p91s2q	9	26	implemented	implement	VERB
p5547p91s2q	9	27	via	via	ADP
p5547p91s2q	9	28	cmos.then	cmos.then	PROPN
p5547p91s2q	9	29	,	,	PUNCT
p5547p91s2q	9	30	we	we	PRON
p5547p91s2q	9	31	investigate	investigate	VERB
p5547p91s2q	9	32	cellular	cellular	ADJ
p5547p91s2q	9	33	neural	neural	ADJ
p5547p91s2q	9	34	network	network	NOUN
p5547p91s2q	9	35	(	(	PUNCT
p5547p91s2q	9	36	cenn)-based	cenn)-base	VERB
p5547p91s2q	9	37	co	co	NOUN
p5547p91s2q	9	38	-	-	NOUN
p5547p91s2q	9	39	processors	processor	NOUN
p5547p91s2q	9	40	at	at	ADP
p5547p91s2q	9	41	the	the	DET
p5547p91s2q	9	42	application	application	NOUN
p5547p91s2q	9	43	-	-	PUNCT
p5547p91s2q	9	44	level	level	NOUN
p5547p91s2q	9	45	for	for	ADP
p5547p91s2q	9	46	accuracy	accuracy	NOUN
p5547p91s2q	9	47	,	,	PUNCT
p5547p91s2q	9	48	delay	delay	NOUN
p5547p91s2q	9	49	and	and	CCONJ
p5547p91s2q	9	50	energy	energy	NOUN
p5547p91s2q	9	51	.	.	PUNCT
p5547p91s2q	10	1	we	we	PRON
p5547p91s2q	10	2	use	use	VERB
p5547p91s2q	10	3	two	two	NUM
p5547p91s2q	10	4	case	case	NOUN
p5547p91s2q	10	5	studies	study	NOUN
p5547p91s2q	10	6	for	for	ADP
p5547p91s2q	10	7	our	our	PRON
p5547p91s2q	10	8	designs	design	NOUN
p5547p91s2q	10	9	:	:	PUNCT
p5547p91s2q	10	10	cenn	cenn	NOUN
p5547p91s2q	10	11	based	base	VERB
p5547p91s2q	10	12	tracking	tracking	NOUN
p5547p91s2q	10	13	algorithm	algorithm	NOUN
p5547p91s2q	10	14	,	,	PUNCT
p5547p91s2q	10	15	and	and	CCONJ
p5547p91s2q	10	16	cenn	cenn	NOUN
p5547p91s2q	10	17	based	base	VERB
p5547p91s2q	10	18	convolutional	convolutional	ADJ
p5547p91s2q	10	19	neural	neural	NOUN
p5547p91s2q	10	20	network.in	network.in	ADP
p5547p91s2q	10	21	the	the	DET
p5547p91s2q	10	22	first	first	ADJ
p5547p91s2q	10	23	case	case	NOUN
p5547p91s2q	10	24	study	study	NOUN
p5547p91s2q	10	25	,	,	PUNCT
p5547p91s2q	10	26	a	a	DET
p5547p91s2q	10	27	cenn	cenn	X
p5547p91s2q	10	28	-	-	PUNCT
p5547p91s2q	10	29	friendly	friendly	ADJ
p5547p91s2q	10	30	target	target	NOUN
p5547p91s2q	10	31	-	-	PUNCT
p5547p91s2q	10	32	tracking	tracking	NOUN
p5547p91s2q	10	33	algorithm	algorithm	NOUN
p5547p91s2q	10	34	was	be	AUX
p5547p91s2q	10	35	developed	develop	VERB
p5547p91s2q	10	36	and	and	CCONJ
p5547p91s2q	10	37	mapped	map	VERB
p5547p91s2q	10	38	to	to	ADP
p5547p91s2q	10	39	an	an	DET
p5547p91s2q	10	40	array	array	NOUN
p5547p91s2q	10	41	architecture	architecture	NOUN
p5547p91s2q	10	42	developed	develop	VERB
p5547p91s2q	10	43	in	in	ADP
p5547p91s2q	10	44	conjunction	conjunction	NOUN
p5547p91s2q	10	45	with	with	ADP
p5547p91s2q	10	46	the	the	DET
p5547p91s2q	10	47	algorithm	algorithm	NOUN
p5547p91s2q	10	48	.	.	PUNCT
p5547p91s2q	11	1	we	we	PRON
p5547p91s2q	11	2	compare	compare	VERB
p5547p91s2q	11	3	the	the	DET
p5547p91s2q	11	4	energy	energy	NOUN
p5547p91s2q	11	5	,	,	PUNCT
p5547p91s2q	11	6	delay	delay	NOUN
p5547p91s2q	11	7	,	,	PUNCT
p5547p91s2q	11	8	and	and	CCONJ
p5547p91s2q	11	9	accuracy	accuracy	NOUN
p5547p91s2q	11	10	of	of	ADP
p5547p91s2q	11	11	our	our	PRON
p5547p91s2q	11	12	architecture	architecture	NOUN
p5547p91s2q	11	13	/	/	SYM
p5547p91s2q	11	14	algorithm	algorithm	PROPN
p5547p91s2q	11	15	(	(	PUNCT
p5547p91s2q	11	16	assuming	assume	VERB
p5547p91s2q	11	17	all	all	DET
p5547p91s2q	11	18	overheads	overhead	NOUN
p5547p91s2q	11	19	)	)	PUNCT
p5547p91s2q	11	20	to	to	ADP
p5547p91s2q	11	21	the	the	DET
p5547p91s2q	11	22	most	most	ADV
p5547p91s2q	11	23	accurate	accurate	ADJ
p5547p91s2q	11	24	von	von	PROPN
p5547p91s2q	11	25	neumann	neumann	PROPN
p5547p91s2q	11	26	algorithm	algorithm	PROPN
p5547p91s2q	11	27	(	(	PUNCT
p5547p91s2q	11	28	struck	strike	VERB
p5547p91s2q	11	29	)	)	PUNCT
p5547p91s2q	11	30	.	.	PUNCT
p5547p91s2q	12	1	von	von	PROPN
p5547p91s2q	12	2	neumann	neumann	PROPN
p5547p91s2q	12	3	cpu	cpu	PROPN
p5547p91s2q	12	4	data	data	PROPN
p5547p91s2q	12	5	is	be	AUX
p5547p91s2q	12	6	measured	measure	VERB
p5547p91s2q	12	7	on	on	ADP
p5547p91s2q	12	8	an	an	DET
p5547p91s2q	12	9	intel	intel	PROPN
p5547p91s2q	12	10	i5	i5	PROPN
p5547p91s2q	12	11	chip	chip	NOUN
p5547p91s2q	12	12	.	.	PUNCT
p5547p91s2q	13	1	in	in	ADP
p5547p91s2q	13	2	the	the	DET
p5547p91s2q	13	3	second	second	ADJ
p5547p91s2q	13	4	case	case	NOUN
p5547p91s2q	13	5	study	study	NOUN
p5547p91s2q	13	6	,	,	PUNCT
p5547p91s2q	13	7	we	we	PRON
p5547p91s2q	13	8	present	present	VERB
p5547p91s2q	13	9	the	the	DET
p5547p91s2q	13	10	design	design	NOUN
p5547p91s2q	13	11	and	and	CCONJ
p5547p91s2q	13	12	evaluation	evaluation	NOUN
p5547p91s2q	13	13	of	of	ADP
p5547p91s2q	13	14	an	an	DET
p5547p91s2q	13	15	accelerator	accelerator	NOUN
p5547p91s2q	13	16	for	for	ADP
p5547p91s2q	13	17	conns	conn	NOUN
p5547p91s2q	13	18	.	.	PUNCT
p5547p91s2q	14	1	the	the	DET
p5547p91s2q	14	2	system	system	NOUN
p5547p91s2q	14	3	-	-	PUNCT
p5547p91s2q	14	4	level	level	NOUN
p5547p91s2q	14	5	architecture	architecture	NOUN
p5547p91s2q	14	6	is	be	AUX
p5547p91s2q	14	7	based	base	VERB
p5547p91s2q	14	8	on	on	ADP
p5547p91s2q	14	9	mixed	mixed	ADJ
p5547p91s2q	14	10	-	-	PUNCT
p5547p91s2q	14	11	signal	signal	NOUN
p5547p91s2q	14	12	,	,	PUNCT
p5547p91s2q	14	13	cellular	cellular	ADJ
p5547p91s2q	14	14	neural	neural	ADJ
p5547p91s2q	14	15	networks	network	NOUN
p5547p91s2q	14	16	(	(	PUNCT
p5547p91s2q	14	17	cenns	cenns	ADJ
p5547p91s2q	14	18	)	)	PUNCT
p5547p91s2q	14	19	.	.	PUNCT
p5547p91s2q	15	1	specifically	specifically	ADV
p5547p91s2q	15	2	,	,	PUNCT
p5547p91s2q	15	3	we	we	PRON
p5547p91s2q	15	4	present	present	VERB
p5547p91s2q	15	5	(	(	PUNCT
p5547p91s2q	15	6	i	i	NOUN
p5547p91s2q	15	7	)	)	PUNCT
p5547p91s2q	15	8	the	the	DET
p5547p91s2q	15	9	implementation	implementation	NOUN
p5547p91s2q	15	10	of	of	ADP
p5547p91s2q	15	11	different	different	ADJ
p5547p91s2q	15	12	layers	layer	NOUN
p5547p91s2q	15	13	,	,	PUNCT
p5547p91s2q	15	14	including	include	VERB
p5547p91s2q	15	15	convolution	convolution	NOUN
p5547p91s2q	15	16	,	,	PUNCT
p5547p91s2q	15	17	relu	relu	NOUN
p5547p91s2q	15	18	,	,	PUNCT
p5547p91s2q	15	19	and	and	CCONJ
p5547p91s2q	15	20	pooling	pooling	NOUN
p5547p91s2q	15	21	,	,	PUNCT
p5547p91s2q	15	22	in	in	ADP
p5547p91s2q	15	23	a	a	DET
p5547p91s2q	15	24	conn	conn	NOUN
p5547p91s2q	15	25	using	use	VERB
p5547p91s2q	15	26	cenn	cenn	NOUN
p5547p91s2q	15	27	,	,	PUNCT
p5547p91s2q	15	28	(	(	PUNCT
p5547p91s2q	15	29	ii	ii	PROPN
p5547p91s2q	15	30	)	)	PUNCT
p5547p91s2q	15	31	modified	modify	VERB
p5547p91s2q	15	32	conn	conn	PROPN
p5547p91s2q	15	33	structures	structure	NOUN
p5547p91s2q	15	34	with	with	ADP
p5547p91s2q	15	35	cenn	cenn	PROPN
p5547p91s2q	15	36	-	-	PUNCT
p5547p91s2q	15	37	friendly	friendly	ADJ
p5547p91s2q	15	38	layers	layer	NOUN
p5547p91s2q	15	39	to	to	PART
p5547p91s2q	15	40	reduce	reduce	VERB
p5547p91s2q	15	41	computational	computational	ADJ
p5547p91s2q	15	42	overheads	overhead	NOUN
p5547p91s2q	15	43	typically	typically	ADV
p5547p91s2q	15	44	associated	associate	VERB
p5547p91s2q	15	45	with	with	ADP
p5547p91s2q	15	46	a	a	DET
p5547p91s2q	15	47	conn	conn	PROPN
p5547p91s2q	15	48	,	,	PUNCT
p5547p91s2q	15	49	(	(	PUNCT
p5547p91s2q	15	50	iii	iii	X
p5547p91s2q	15	51	)	)	PUNCT
p5547p91s2q	15	52	a	a	DET
p5547p91s2q	15	53	mixed	mixed	ADJ
p5547p91s2q	15	54	-	-	PUNCT
p5547p91s2q	15	55	signal	signal	NOUN
p5547p91s2q	15	56	cenn	cenn	NOUN
p5547p91s2q	15	57	architecture	architecture	NOUN
p5547p91s2q	15	58	that	that	PRON
p5547p91s2q	15	59	performs	perform	VERB
p5547p91s2q	15	60	conn	conn	PROPN
p5547p91s2q	15	61	computations	computation	NOUN
p5547p91s2q	15	62	in	in	ADP
p5547p91s2q	15	63	the	the	DET
p5547p91s2q	15	64	analog	analog	NOUN
p5547p91s2q	15	65	and	and	CCONJ
p5547p91s2q	15	66	mixed	mixed	ADJ
p5547p91s2q	15	67	signal	signal	NOUN
p5547p91s2q	15	68	domain	domain	NOUN
p5547p91s2q	15	69	,	,	PUNCT
p5547p91s2q	15	70	and	and	CCONJ
p5547p91s2q	15	71	(	(	PUNCT
p5547p91s2q	15	72	iv	iv	X
p5547p91s2q	15	73	)	)	PUNCT
p5547p91s2q	15	74	design	design	NOUN
p5547p91s2q	15	75	space	space	NOUN
p5547p91s2q	15	76	exploration	exploration	NOUN
p5547p91s2q	15	77	that	that	PRON
p5547p91s2q	15	78	identifies	identify	VERB
p5547p91s2q	15	79	what	what	PRON
p5547p91s2q	15	80	cenn	cenn	PROPN
p5547p91s2q	15	81	-	-	PUNCT
p5547p91s2q	15	82	based	base	VERB
p5547p91s2q	15	83	algorithm	algorithm	PROPN
p5547p91s2q	15	84	and	and	CCONJ
p5547p91s2q	15	85	architectural	architectural	ADJ
p5547p91s2q	15	86	features	feature	NOUN
p5547p91s2q	15	87	fare	fare	NOUN
p5547p91s2q	15	88	best	well	ADV
p5547p91s2q	15	89	compared	compare	VERB
p5547p91s2q	15	90	to	to	ADP
p5547p91s2q	15	91	existing	exist	VERB
p5547p91s2q	15	92	algorithms	algorithm	NOUN
p5547p91s2q	15	93	and	and	CCONJ
p5547p91s2q	15	94	architectures	architecture	NOUN
p5547p91s2q	15	95	when	when	SCONJ
p5547p91s2q	15	96	evaluated	evaluate	VERB
p5547p91s2q	15	97	over	over	ADP
p5547p91s2q	15	98	common	common	ADJ
p5547p91s2q	15	99	datasets	dataset	NOUN
p5547p91s2q	15	100	-mnist	-mnist	ADJ
p5547p91s2q	15	101	and	and	CCONJ
p5547p91s2q	15	102	cifar-10.we	cifar-10.we	PROPN
p5547p91s2q	15	103	also	also	ADV
p5547p91s2q	15	104	focus	focus	VERB
p5547p91s2q	15	105	on	on	ADP
p5547p91s2q	15	106	benchmarking	benchmarke	VERB
p5547p91s2q	15	107	and	and	CCONJ
p5547p91s2q	15	108	evaluating	evaluate	VERB
p5547p91s2q	15	109	dnn	dnn	NOUN
p5547p91s2q	15	110	architectures	architecture	NOUN
p5547p91s2q	15	111	.	.	PUNCT
p5547p91s2q	16	1	a	a	DET
p5547p91s2q	16	2	uniform	uniform	ADJ
p5547p91s2q	16	3	modeling	modeling	NOUN
p5547p91s2q	16	4	framework	framework	NOUN
p5547p91s2q	16	5	,	,	PUNCT
p5547p91s2q	16	6	evadnn	evadnn	PROPN
p5547p91s2q	16	7	,	,	PUNCT
p5547p91s2q	16	8	is	be	AUX
p5547p91s2q	16	9	presented	present	VERB
p5547p91s2q	16	10	to	to	PART
p5547p91s2q	16	11	estimate	estimate	VERB
p5547p91s2q	16	12	the	the	DET
p5547p91s2q	16	13	dynamic	dynamic	ADJ
p5547p91s2q	16	14	energy	energy	NOUN
p5547p91s2q	16	15	(	(	PUNCT
p5547p91s2q	16	16	a	a	DET
p5547p91s2q	16	17	major	major	ADJ
p5547p91s2q	16	18	component	component	NOUN
p5547p91s2q	16	19	of	of	ADP
p5547p91s2q	16	20	total	total	ADJ
p5547p91s2q	16	21	energy	energy	NOUN
p5547p91s2q	16	22	)	)	PUNCT
p5547p91s2q	16	23	consumed	consume	VERB
p5547p91s2q	16	24	by	by	ADP
p5547p91s2q	16	25	a	a	DET
p5547p91s2q	16	26	dnn	dnn	NOUN
p5547p91s2q	16	27	accelerator	accelerator	VERB
p5547p91s2q	16	28	.	.	PUNCT
p5547p91s2q	17	1	evadnn	evadnn	NOUN
p5547p91s2q	17	2	can	can	AUX
p5547p91s2q	17	3	accurately	accurately	ADV
p5547p91s2q	17	4	model	model	VERB
p5547p91s2q	17	5	energy	energy	NOUN
p5547p91s2q	17	6	contributions	contribution	NOUN
p5547p91s2q	17	7	from	from	ADP
p5547p91s2q	17	8	device	device	NOUN
p5547p91s2q	17	9	technology	technology	NOUN
p5547p91s2q	17	10	,	,	PUNCT
p5547p91s2q	17	11	circuits	circuit	NOUN
p5547p91s2q	17	12	,	,	PUNCT
p5547p91s2q	17	13	architecture	architecture	NOUN
p5547p91s2q	17	14	,	,	PUNCT
p5547p91s2q	17	15	a	a	DET
p5547p91s2q	17	16	given	give	VERB
p5547p91s2q	17	17	data	datum	NOUN
p5547p91s2q	17	18	mapping	mapping	NOUN
p5547p91s2q	17	19	strategy	strategy	NOUN
p5547p91s2q	17	20	,	,	PUNCT
p5547p91s2q	17	21	and	and	CCONJ
p5547p91s2q	17	22	underlying	underlying	ADJ
p5547p91s2q	17	23	network	network	NOUN
p5547p91s2q	17	24	structure	structure	NOUN
p5547p91s2q	17	25	.	.	PUNCT
p5547p91s2q	18	1	we	we	PRON
p5547p91s2q	18	2	applied	apply	VERB
p5547p91s2q	18	3	eva	eva	PROPN
p5547p91s2q	18	4	-	-	PUNCT
p5547p91s2q	18	5	dnn	dnn	NOUN
p5547p91s2q	18	6	on	on	ADP
p5547p91s2q	18	7	three	three	NUM
p5547p91s2q	18	8	accelerator	accelerator	NOUN
p5547p91s2q	18	9	architectures	architecture	NOUN
p5547p91s2q	18	10	from	from	ADP
p5547p91s2q	18	11	the	the	DET
p5547p91s2q	18	12	literature	literature	NOUN
p5547p91s2q	18	13	,	,	PUNCT
p5547p91s2q	18	14	namely	namely	ADV
p5547p91s2q	18	15	:	:	PUNCT
p5547p91s2q	18	16	eyeriss	eyeriss	PROPN
p5547p91s2q	18	17	,	,	PUNCT
p5547p91s2q	18	18	shidiannao	shidiannao	PROPN
p5547p91s2q	18	19	,	,	PUNCT
p5547p91s2q	18	20	and	and	CCONJ
p5547p91s2q	18	21	truenorth	truenorth	NOUN
p5547p91s2q	18	22	and	and	CCONJ
p5547p91s2q	18	23	demonstrate	demonstrate	VERB
p5547p91s2q	18	24	that	that	SCONJ
p5547p91s2q	18	25	the	the	DET
p5547p91s2q	18	26	model	model	NOUN
p5547p91s2q	18	27	can	can	AUX
p5547p91s2q	18	28	reliably	reliably	ADV
p5547p91s2q	18	29	estimate	estimate	VERB
p5547p91s2q	18	30	the	the	DET
p5547p91s2q	18	31	energy	energy	NOUN
p5547p91s2q	18	32	(	(	PUNCT
p5547p91s2q	18	33	maximum	maximum	ADJ
p5547p91s2q	18	34	error	error	NOUN
p5547p91s2q	18	35	of	of	ADP
p5547p91s2q	18	36	15	15	NUM
p5547p91s2q	18	37	%	%	NOUN
p5547p91s2q	18	38	)	)	PUNCT
p5547p91s2q	18	39	required	require	VERB
p5547p91s2q	18	40	by	by	ADP
p5547p91s2q	18	41	different	different	ADJ
p5547p91s2q	18	42	components	component	NOUN
p5547p91s2q	18	43	of	of	ADP
p5547p91s2q	18	44	different	different	ADJ
p5547p91s2q	18	45	accelerator	accelerator	NOUN
p5547p91s2q	18	46	architecture	architecture	NOUN
p5547p91s2q	18	47	topologies	topology	NOUN
p5547p91s2q	18	48	for	for	ADP
p5547p91s2q	18	49	a	a	DET
p5547p91s2q	18	50	given	give	VERB
p5547p91s2q	18	51	workload	workload	NOUN
p5547p91s2q	18	52	or	or	CCONJ
p5547p91s2q	18	53	network.in	network.in	ADP
p5547p91s2q	18	54	the	the	DET
p5547p91s2q	18	55	last	last	ADJ
p5547p91s2q	18	56	chapter	chapter	NOUN
p5547p91s2q	18	57	,	,	PUNCT
p5547p91s2q	18	58	we	we	PRON
p5547p91s2q	18	59	focus	focus	VERB
p5547p91s2q	18	60	on	on	ADP
p5547p91s2q	18	61	emerging	emerge	VERB
p5547p91s2q	18	62	device	device	NOUN
p5547p91s2q	18	63	based	base	VERB
p5547p91s2q	18	64	architecture	architecture	NOUN
p5547p91s2q	18	65	implementation	implementation	NOUN
p5547p91s2q	18	66	.	.	PUNCT
p5547p91s2q	19	1	emerging	emerge	VERB
p5547p91s2q	19	2	memory	memory	NOUN
p5547p91s2q	19	3	devices	device	NOUN
p5547p91s2q	19	4	are	be	AUX
p5547p91s2q	19	5	an	an	DET
p5547p91s2q	19	6	attractive	attractive	ADJ
p5547p91s2q	19	7	choice	choice	NOUN
p5547p91s2q	19	8	for	for	ADP
p5547p91s2q	19	9	implementing	implement	VERB
p5547p91s2q	19	10	very	very	ADJ
p5547p91s2q	19	11	energy	energy	NOUN
p5547p91s2q	19	12	-	-	PUNCT
p5547p91s2q	19	13	efficient	efficient	ADJ
p5547p91s2q	19	14	in	in	ADP
p5547p91s2q	19	15	-	-	PUNCT
p5547p91s2q	19	16	situ	situ	NOUN
p5547p91s2q	19	17	matrix	matrix	NOUN
p5547p91s2q	19	18	-	-	PUNCT
p5547p91s2q	19	19	vector	vector	NOUN
p5547p91s2q	19	20	multiplication	multiplication	NOUN
p5547p91s2q	19	21	(	(	PUNCT
p5547p91s2q	19	22	mvm	mvm	ADV
p5547p91s2q	19	23	)	)	PUNCT
p5547p91s2q	19	24	for	for	ADP
p5547p91s2q	19	25	use	use	NOUN
p5547p91s2q	19	26	in	in	ADP
p5547p91s2q	19	27	intelligent	intelligent	ADJ
p5547p91s2q	19	28	edge	edge	NOUN
p5547p91s2q	19	29	platforms	platform	NOUN
p5547p91s2q	19	30	.	.	PUNCT
p5547p91s2q	20	1	despite	despite	SCONJ
p5547p91s2q	20	2	their	their	PRON
p5547p91s2q	20	3	great	great	ADJ
p5547p91s2q	20	4	potential	potential	NOUN
p5547p91s2q	20	5	,	,	PUNCT
p5547p91s2q	20	6	device	device	NOUN
p5547p91s2q	20	7	level	level	NOUN
p5547p91s2q	20	8	nonidealities	nonidealitie	NOUN
p5547p91s2q	20	9	have	have	VERB
p5547p91s2q	20	10	a	a	DET
p5547p91s2q	20	11	large	large	ADJ
p5547p91s2q	20	12	impact	impact	NOUN
p5547p91s2q	20	13	on	on	ADP
p5547p91s2q	20	14	the	the	DET
p5547p91s2q	20	15	application	application	NOUN
p5547p91s2q	20	16	-	-	PUNCT
p5547p91s2q	20	17	level	level	NOUN
p5547p91s2q	20	18	accuracy	accuracy	NOUN
p5547p91s2q	20	19	of	of	ADP
p5547p91s2q	20	20	deep	deep	ADJ
p5547p91s2q	20	21	neural	neural	ADJ
p5547p91s2q	20	22	network	network	NOUN
p5547p91s2q	20	23	(	(	PUNCT
p5547p91s2q	20	24	dnn	dnn	PROPN
p5547p91s2q	20	25	)	)	PUNCT
p5547p91s2q	20	26	inference	inference	NOUN
p5547p91s2q	20	27	.	.	PUNCT
p5547p91s2q	21	1	we	we	PRON
p5547p91s2q	21	2	introduce	introduce	VERB
p5547p91s2q	21	3	a	a	DET
p5547p91s2q	21	4	low	low	ADJ
p5547p91s2q	21	5	-	-	PUNCT
p5547p91s2q	21	6	density	density	NOUN
p5547p91s2q	21	7	parity	parity	NOUN
p5547p91s2q	21	8	-	-	PUNCT
p5547p91s2q	21	9	check	check	NOUN
p5547p91s2q	21	10	code	code	NOUN
p5547p91s2q	21	11	(	(	PUNCT
p5547p91s2q	21	12	ldpc	ldpc	NOUN
p5547p91s2q	21	13	)	)	PUNCT
p5547p91s2q	21	14	based	base	VERB
p5547p91s2q	21	15	approach	approach	NOUN
p5547p91s2q	21	16	to	to	PART
p5547p91s2q	21	17	correct	correct	ADJ
p5547p91s2q	21	18	nonideality	nonideality	NOUN
p5547p91s2q	21	19	induced	induce	VERB
p5547p91s2q	21	20	errors	error	NOUN
p5547p91s2q	21	21	encountered	encounter	VERB
p5547p91s2q	21	22	during	during	ADP
p5547p91s2q	21	23	in	in	ADP
p5547p91s2q	21	24	-	-	PUNCT
p5547p91s2q	21	25	situ	situ	NOUN
p5547p91s2q	21	26	mvm	mvm	NOUN
p5547p91s2q	21	27	.	.	PROPN
p5547p91s2q	21	28	design	design	NOUN
p5547p91s2q	21	29	space	space	NOUN
p5547p91s2q	21	30	explorations	exploration	NOUN
p5547p91s2q	21	31	demonstrate	demonstrate	VERB
p5547p91s2q	21	32	that	that	SCONJ
p5547p91s2q	21	33	we	we	PRON
p5547p91s2q	21	34	can	can	AUX
p5547p91s2q	21	35	leverage	leverage	VERB
p5547p91s2q	21	36	the	the	DET
p5547p91s2q	21	37	resilience	resilience	NOUN
p5547p91s2q	21	38	endowed	endow	VERB
p5547p91s2q	21	39	by	by	ADP
p5547p91s2q	21	40	ecc	ecc	PROPN
p5547p91s2q	21	41	to	to	PART
p5547p91s2q	21	42	improve	improve	VERB
p5547p91s2q	21	43	energy	energy	NOUN
p5547p91s2q	21	44	efficiency	efficiency	NOUN
p5547p91s2q	21	45	(	(	PUNCT
p5547p91s2q	21	46	by	by	ADP
p5547p91s2q	21	47	reducing	reduce	VERB
p5547p91s2q	21	48	operating	operating	NOUN
p5547p91s2q	21	49	voltage	voltage	NOUN
p5547p91s2q	21	50	)	)	PUNCT
p5547p91s2q	21	51	.	.	PUNCT
p5547p91s2q	22	1	a	a	DET
p5547p91s2q	22	2	1.6x	1.6x	PROPN
p5547p91s2q	22	3	energy	energy	NOUN
p5547p91s2q	22	4	efficiency	efficiency	NOUN
p5547p91s2q	22	5	improvement	improvement	NOUN
p5547p91s2q	22	6	in	in	ADP
p5547p91s2q	22	7	dnn	dnn	NOUN
p5547p91s2q	22	8	inference	inference	NOUN
p5547p91s2q	22	9	on	on	ADP
p5547p91s2q	22	10	cifar-10	cifar-10	ADJ
p5547p91s2q	22	11	dataset	dataset	NOUN
p5547p91s2q	22	12	with	with	ADP
p5547p91s2q	22	13	resnet-20	resnet-20	PROPN
p5547p91s2q	22	14	is	be	AUX
p5547p91s2q	22	15	achieved	achieve	VERB
p5547p91s2q	22	16	at	at	ADP
p5547p91s2q	22	17	iso	iso	NOUN
p5547p91s2q	22	18	-	-	PUNCT
p5547p91s2q	22	19	accuracy	accuracy	NOUN
p5547p91s2q	22	20	.	.	PUNCT