Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation-Reference-Cited by-同舟云学术

Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation

Published:2023-02 Issue:2 Volume:42 Page:644-657
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:

Chen Xizi¹^ORCID,Zhu Jingyang²,Jiang Jingbo³^ORCID,Tsui Chi-Ying¹^ORCID

Affiliation:

1. College of Informatics, Huazhong Agricultural University, Wuhan, China

2. Compute Architecture, NVIDIA Corporation, Shanghai, China

3. AI Chip Center for Emerging Smart Systems (ACCESS), Hong Kong Science Park, Hong Kong

Funder

AI Chip Center for Emerging Smart Systems (ACCESS), Hong Kong

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

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