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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Vydané v:	Advanced materials (Weinheim) Ročník 32; číslo 37; s. e2003437 - n/a
Hlavní autori:	Graves, Catherine E., Li, Can, Sheng, Xia, Miller, Darrin, Ignowski, Jim, Kiyama, Lennie, Strachan, John Paul
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Weinheim Wiley Subscription Services, Inc 01.09.2020
Predmet:	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
On-line prístup:	Získať plný text
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