10T SRAM Computing-in-Memory Macros for Binary and Multibit MAC Operation of DNN Edge Processors

10T SRAM Computing-in-Memory Macros for Binary and Multibit MAC Operation of DNN Edge Processors

Computing-in-memory (CIM) is a promising approach to reduce latency and improve the energy efficiency of the multiply-and-accumulate (MAC) operation under a memory wall constraint for artificial intelligence (AI) edge processors. This paper proposes an approach focusing on scalable CIM designs using...

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Bibliographic Details
Main Authors: Van Truong Nguyen, Jie-Seok Kim, Jong-Wook Lee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computing-in-memory
static random access memory
deep neural network
machine learning
edge processor
Online Access:https://ieeexplore.ieee.org/document/9429249/
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https://ieeexplore.ieee.org/document/9429249/

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