Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning-Reference-Cited by-同舟云学术

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Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning

Published:2019-11-01 Issue:6 Volume:39 Page:54-63
ISSN:0272-1732
Container-title:IEEE Micro
language:
Short-container-title:IEEE Micro

Author:

Yin Shihui,Seo Jae-sun,Kim Yulhwa,Han Xu,Barnaby Hugh,Yu Shimeng,Luo Yandong,He Wangxin,Sun Xiaoyu,Kim Jae-Joon

Funder

NSF-SRC-E2CDA

National Science Foundation

Defense Advanced Research Projects Agency

Nano-Material Technology Development Program

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx7/40/8894154/08894568.pdf?arnumber=8894568

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4. Memristive Based In-Memory Computing Using Novel RISC-V Architectures;2024 Panhellenic Conference on Electronics & Telecommunications (PACET);2024-03-28

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