A Fully Integrated Reprogrammable CMOS-RRAM Compute-in-Memory Coprocessor for Neuromorphic Applications
Analog compute-in-memory with resistive random access memory (RRAM) devices promises to overcome the data movement bottleneck in data-intensive artificial intelligence (AI) and machine learning. RRAM crossbar arrays improve the efficiency of vector-matrix multiplications (VMMs), which is a vital ope...
Main Authors: | Justin M. Correll, Vishishtha Bothra, Fuxi Cai, Yong Lim, Seung Hwan Lee, Seungjong Lee, Wei D. Lu, Zhengya Zhang, Michael P. Flynn |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Journal on Exploratory Solid-State Computational Devices and Circuits |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9085353/ |
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