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Characterizing and Understanding Defense Methods for GNNs on GPUs 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2023, 卷号: 22, 期号: 2, 页码: 137-140
作者:  Wu, Meng;  Yan, Mingyu;  Yang, Xiaocheng;  Li, Wenming;  Zhang, Zhimin;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载:6/0  |  提交时间:2023/12/04
Kernel  Purification  Estimation  Graphics processing units  Perturbation methods  Electric breakdown  Training  Graph neural networks  defense  execution semantic  execution pattern  overhead  
Characterizing and Understanding HGNNs on GPUs 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 2, 页码: 69-72
作者:  Yan, Mingyu;  Zou, Mo;  Yang, Xiaocheng;  Li, Wenming;  Ye, Xiaochun;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载:23/0  |  提交时间:2022/12/07
Kernel  Semantics  Aggregates  Mercury (metals)  Motion pictures  Graphics processing units  Electric breakdown  Heterogeneous graph neural networks  GNNs  characterization  execution semantic  execution pattern  
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 4, 页码: 936-949
作者:  Chen, Xiaobing;  Wang, Yuke;  Xie, Xinfeng;  Hu, Xing;  Basak, Abanti;  Liang, Ling;  Yan, Mingyu;  Deng, Lei;  Ding, Yufei;  Du, Zidong;  Xie, Yuan
收藏  |  浏览/下载:20/0  |  提交时间:2022/12/07
Deep learning accelerator  graph neural network (GNN)  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载:27/0  |  提交时间:2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
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:34/0  |  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  
Characterizing and Understanding GCNs on GPU 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2020, 卷号: 19, 期号: 1, 页码: 22-25
作者:  Yan, Mingyu;  Chen, Zhaodong;  Deng, Lei;  Ye, Xiaochun;  Zhang, Zhimin;  Fan, Dongrui;  Xie, Yuan
收藏  |  浏览/下载:46/0  |  提交时间:2020/12/10
Graph convolutional neural networks  characterization  execution pattern  GPU