id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
tx31qf89794	Dayane Alfenas Reis	Circuits and Architectures for Data-Centric Computing	2021		.txt	text/plain	428	11	27	In this work, computing-in-memory architectures (CiM) are proposed as solutions for overcoming the latency and energy problems associated with data transfer, as they enable a subset of logic, arithmetic, and memory operations associated with a given task are performed in memory (without transfers from/to a processor).Finally, like speed and energy consumption, the security and privacy of computer systems have become a critical research topic. Second, the high volume of data movement may result in a slowdown in the performance of data-intensive programs, and high energy consumption due to the various memory accesses needed by the application.	cache/tx31qf89794.txt	txt/tx31qf89794.txt