A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures-Reference-Cited by-同舟云学术

A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures

Published:2022-11 Issue:11 Volume:41 Page:3745-3756
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Zheng Long¹^ORCID,Liu Haifeng¹^ORCID,Huang Yu¹^ORCID,Chen Dan¹,Liu Chaoqiang¹,He Haiheng¹,Liao Xiaofei¹^ORCID,Jin Hai¹^ORCID,Xue Jingling²^ORCID

Affiliation:

1. National Engineering Research Center for Big Data Technology and System, Service Computing Technology and System Lab, Cluster and Grid Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/9928799/09925673.pdf?arnumber=9925673

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