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...

Full description

Saved in:
Bibliographic Details
Main Authors: Huang, Hantao, Ni, Leibin, Wang, Kanwen, Wang, Yuangang, Yu, Hao
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/87049
http://hdl.handle.net/10220/45222
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Similar Items