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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  
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2021, 卷号: 70, 期号: 9, 页码: 1511-1525
作者:  Liang, Shengwen;  Wang, Ying;  Liu, Cheng;  He, Lei;  Li, Huawei;  Xu, Dawen;  Li, Xiaowei
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Neural networks  Hardware  System-on-chip  Task analysis  Feature extraction  Memory management  Graph neural network  accelerator architecture  hardware acceleration  
SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 11, 页码: 1663-1677
作者:  Li, Jiajun;  Jiang, Shuhao;  Gong, Shijun;  Wu, Jingya;  Yan, Junchao;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载:41/0  |  提交时间:2020/12/10
Convolutional neural networks  accelerator architecture  hardware acceleration  
Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 6, 页码: 867-881
作者:  Lu, Wenyan;  Yan, Guihai;  Li, Jiajun;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei
收藏  |  浏览/下载:249/0  |  提交时间:2019/08/16
Convolutional neural networks  accelerator  architecture  parallelism  sparsity