id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
2514nk34r7x	Cristobal Alessandri	Ferroelectric Memory and Architecture for Deep Neural Network Training in Resistive Crossbar Arrays	2019		.txt	text/plain	325	14	27	In this thesis, this limitation is addressed in two ways:First, ferroelectrics are studied for multilevel memory devices in resistive crossbar arrays. For this reason, it has been proposed to use resistive crossbar arrays to minimize data movement and perform matrix-vector multiplications in the analog domain.	cache/2514nk34r7x.txt	txt/2514nk34r7x.txt