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Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265
作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Liu, Tianyu;  Wu, Haibin;  Liu, Yanhuan;  Wu, Meng;  Wu, Xinxin;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Accelerator  output activation  prediction  sparse convolutional neural network  
Multi-Node Acceleration for Large-Scale GCNs 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3140-3152
作者:  Sun, Gongjian;  Yan, Mingyu;  Wang, Duo;  Li, Han;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载:26/0  |  提交时间:2023/07/12
Deep learning  graph neural network  hardware accelerator  multi-node system  communication optimization  
Hardware Acceleration for GCNs via Bidirectional Fusion 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2021, 卷号: 20, 期号: 1, 页码: 4
作者:  Li, Han;  Yan, Mingyu;  Yang, Xiaocheng;  Deng, Lei;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载:36/0  |  提交时间:2021/12/01
Random access memory  Computational modeling  Analytical models  Hardware  Engines  Computer architecture  Transforms  Graph convolutional neural networks  hardware accelerator  bidirectional execution  inter-phase fusion