GTCO: Graph and Tensor Co-Design for Transformer-Based Image Recognition on Tensor Cores-Reference-Cited by-同舟云学术

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GTCO: Graph and Tensor Co-Design for Transformer-Based Image Recognition on Tensor Cores

Published:2024-02 Issue:2 Volume:43 Page:586-599
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:

Bai Yang¹^ORCID,Yao Xufeng¹,Sun Qi¹^ORCID,Zhao Wenqian¹^ORCID,Chen Shixin¹^ORCID,Wang Zixiao¹,Yu Bei¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR

Funder

SmartMore

The Research Grants Council of Hong Kong, SAR

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/ielx7/43/10410112/10255251.pdf?arnumber=10255251

Reference45 articles.

1. AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU

2. Deep Residual Learning for Image Recognition

3. Very deep convolutional networks for large-scale image recognition;Simonyan

4. Rethinking the Inception Architecture for Computer Vision

5. ACPNet:Anchor-Center Based Person Network for Human Pose Estimation and Instance Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

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