id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ms35t725z1p	Ann Franchesca Laguna	Accelerating Memory Intensive Algorithms and Applications using In-Memory Computing	2022		.txt	text/plain	367	22	37	We propose an in-memory transformer network accelerator (iMTransformer) that uses a combination of crossbars and CAMs to accelerate transformer networks. These memory-bandwidth limited applications can be accelerated by minimizing the data movement between the memory and the compute units through in-memory computing (IMC).	cache/ms35t725z1p.txt	txt/ms35t725z1p.txt