Work

Efficient Segment-wise Pruning for DCNN Inference Accelerators

Year: 2022

Type: conference-paper

Source: International Symposium on VLSI Design, Automation and Test

DOI: 10.1109/vlsi-dat54769.2022.9768076

Authors: Che-Chang Yang, Yung-Tai Shih, Chun-Chen Chen, Chih-Tsun Huang, Jing-Jia Liou, Yao-Hua Chen, Juin-Ming Lu

Institutions: National Tsing Hua University, Industrial Technology Research Institute

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Ministry of Science and Technology, Taiwan

Award: G2622689195

OpenAlex ID: W4229451868

FWCI: 0.081

Cites: 12

Cited by: 1

Related to: 10