A highly-parallel and energy-efficient 3D multi-layer CMOS-RRAM accelerator for tensorized neural network

A highly-parallel and energy-efficient 3D multi-layer CMOS-RRAM accelerator for tensorized neural network

It is a grand challenge to develop highly parallel yet energy-efficient machine learning hardware accelerator. This paper introduces a three-dimensional (3-D) multilayer CMOSRRAM accelerator for atensorized neural network. Highly parallel matrix-vector multiplication can be performed with low power...

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書目詳細資料
Main Authors:	Huang, Hantao, Ni, Leibin, Wang, Kanwen, Wang, Yuangang, Yu, Hao
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2018
主題:	Tensorized Neural Network (TNN) RRAM Computing
在線閱讀:	https://hdl.handle.net/10356/87049 http://hdl.handle.net/10220/45222
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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