Structured Term Pruning for Computational Efficient Neural Networks Inference-Reference-Cited by-同舟云学术

Structured Term Pruning for Computational Efficient Neural Networks Inference

Published:2023-01 Issue:1 Volume:42 Page:190-203
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:

Huang Kai¹,Li Bowen¹^ORCID,Chen Siang¹^ORCID,Claesen Luc²^ORCID,Xi Wei³^ORCID,Chen Junjian³,Jiang Xiaowen¹^ORCID,Liu Zhili⁴,Xiong Dongliang¹,Yan Xiaolang¹

Affiliation:

1. Institute of VLSI Design, Zhejiang University, Hangzhou, China

2. Engineering Technology-Electronics-ICT Department, University of Hasselt, Diepenbeek, Belgium

3. Digital Grid Research Institute, Guangzhou, CSG, China

4. Product Center Department, Sec-Chip, Hangzhou, China

Funder

National Key Research and Development Program 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/ielx7/43/9996095/09759473.pdf?arnumber=9759473

Reference43 articles.

1. A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications

2. EIE: Efficient inference engine on compressed deep neural network;han;Proc 43rd ACM/IEEE Annu Int Symp Comput Architect (ISCA),2016

3. BitPruner: Network Pruning for Bit-serial Accelerators

4. Term Quantization: Furthering Quantization at Run Time

5. A SIGNED BINARY MULTIPLICATION TECHNIQUE

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