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Hardware Acceleration for SLAM in Mobile Systems 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 6, 页码: 1300-1322
作者:  Fan, Zhe;  Hao, Yi-Fan;  Zhi, Tian;  Guo, Qi;  Du, Zi-Dong
收藏  |  浏览/下载:8/0  |  提交时间:2024/05/20
hardware accelerator  instruction set  mobile system  simultaneous localization and mapping (SLAM) algorithm  
DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 899-910
作者:  Zhuang, Yi-Min;  Hu, Xing;  Chen, Xiao-Bing;  Zhi, Tian
收藏  |  浏览/下载:7/0  |  提交时间:2024/05/20
dynamic neural network (NN)  deep neural network (DNN) accelerator  dynamic pipelining  
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:30/0  |  提交时间:2022/12/07
Deep learning accelerator  graph neural network (GNN)  
Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222
作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Zeng, Xi;  Li, Ling;  Cheng, Limin;  Xu, Zhiwei;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载:38/0  |  提交时间:2022/06/21
Deep learning  Central Processing Unit  Process control  Task analysis  Computational modeling  Pipelines  Runtime  Neural net accelerators  system architectures  interaction wall  
Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 1, 页码: 116-128
作者:  Song, Xinkai;  Zhi, Tian;  Fan, Zhe;  Zhang, Zhenxing;  Zeng, Xi;  Li, Wei;  Hu, Xing;  Du, Zidong;  Guo, Qi;  Chen, Yunji
收藏  |  浏览/下载:35/0  |  提交时间:2022/06/21
Accelerator  architecture  graph neural networks (GNNs)