CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks

Published 2018 View Full Article

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Title
CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks
Authors
Keywords
-
Journal
IEEE JOURNAL OF SOLID-STATE CIRCUITS
Volume 54, Issue 1, Pages 217-230
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2018-12-18
DOI
10.1109/jssc.2018.2880918

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