An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism

There is great attention to develop hardware accelerator with better energy efficiency, as well as throughput, than GPUs for convolutional neural network (CNN). The existing solutions have relatively limited parallelism as well as large power consumption (including leakage power). In this paper, we...

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Bibliographic Details
Main Authors: Ni, Leibin, Liu, Zichuan, Yu, Hao, Joshi, Rajiv V.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/85536
http://hdl.handle.net/10220/43795
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Institution: Nanyang Technological University
Language: English