H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture-Reference-Cited by-同舟云学术

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H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)
language:
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Author:

Zhang Chengming¹,Geng Tong²,Guo Anqi³,Tian Jiannan¹,Herbordt Martin³,Li Ang²,Tao Dingwen¹

Affiliation:

1. School of Electrical Engineering and Computer Science, Washington State University,Pullman,WA,USA

2. Pacific Northwest National Laboratory,Mathematics and Computer Science Division,Richland,WA,USA

3. Boston University,Department of Electrical and Computer Engineering,Boston,MA,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10035104/10035106/10035160.pdf?arnumber=10035160

Reference36 articles.

1. BoostGCN: A Framework for Optimizing GCN Inference on FPGA

2. AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing

3. Engn: A high-throughput and energy-efficient accelerator for large graph neural networks;liang;IEEE Transactions on Computers,2020

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