Efficient Segment-wise Pruning for DCNN Inference Accelerators-Reference-Cited by-同舟云学术

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Efficient Segment-wise Pruning for DCNN Inference Accelerators

Published:2022-04-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)
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Author:

Yang Che-Chang¹,Shih Yung-Tai¹,Chen Chun-Chen¹,Huang Chih-Tsun¹,Liou Jing-Jia²,Chen Yao-Hua³,Lu Juin-Ming²

Affiliation:

1. National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan

2. National Tsing Hua University,Department of Electrical Engineering,Hsinchu,Taiwan

3. Industrial Technology Research Institute,Electronic & Optoelectronic System Research Laboratories,Hsinchu,Taiwan

Funder

Ministry of Science and Technology, Taiwan ROC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9768045/9768046/09768076.pdf?arnumber=9768076

Reference12 articles.

1. Densely connected convolutional networks;huang;2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2017

2. Deep Residual Learning for Image Recognition

3. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

4. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

5. Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

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