In‐Memory Computing with Memristor Content Addressable Memories for Pattern Matching

The dramatic rise of data‐intensive workloads has revived application‐specific computational hardware for continuing speed and power improvements, frequently achieved by limiting data movement and implementing “in‐memory computation”. However, conventional complementary metal oxide semiconductor (CM...

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Bibliographic Details
Published in:	Advanced materials (Weinheim) Vol. 32; no. 37; pp. e2003437 - n/a
Main Authors:	Graves, Catherine E., Li, Can, Sheng, Xia, Miller, Darrin, Ignowski, Jim, Kiyama, Lennie, Strachan, John Paul
Format:	Journal Article
Language:	English
Published:	Weinheim Wiley Subscription Services, Inc 01.09.2020
Subjects:	Arrays Associative memory Automata theory Circuit design CMOS Computation content addressable memory Finite state machines in‐memory computing Mapping Materials science Memristors Pattern matching Power efficiency Power management Random access memory Resistance
ISSN:	0935-9648, 1521-4095, 1521-4095
Online Access:	Get full text
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