A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors-Reference-Cited by-同舟云学术

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A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors

Published:2024-07 Issue:7 Volume:71 Page:3528-3532
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Chen Yuzhou¹^ORCID,Zhang Jinming¹^ORCID,Lyu Dongxu¹^ORCID,Li Zhenyu¹^ORCID,He Guanghui²^ORCID

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. School of Electronic Information and Electrical Engineering and the MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8920/10581876/10433078.pdf?arnumber=10433078

Reference17 articles.

1. DianNao

2. 9.5 A 6K-MAC Feature-Map-Sparsity-Aware Neural Processing Unit in 5nm Flagship Mobile SoC

3. STC: Significance-aware Transform-based Codec Framework for External Memory Access Reduction

4. EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators

5. Area Efficient Compression for Floating-Point Feature Maps in Convolutional Neural Network Accelerators

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