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Chip design with machine learning: a survey from algorithm perspective 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2023, 卷号: 66, 期号: 11, 页码: 31
作者:  He, Wenkai;  Li, Xiaqing;  Song, Xinkai;  Hao, Yifan;  Zhang, Rui;  Du, Zidong;  Chen, Yunji
收藏  |  浏览/下载：16/0  |  提交时间：2023/12/04
chip design  machine learning  chip design automation  design result estimation  design optimization and correction  design construction  
Learning controllable elements oriented representations for reinforcement learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 549, 页码: 13
作者:  Yi, Qi;  Zhang, Rui;  Peng, Shaohui;  Guo, Jiaming;  Hu, Xing;  Du, Zidong;  Guo, Qi;  Chen, Ruizhi;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Reinforcement learning  Representation learning  
Rescue to the Curse of universality 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2023, 卷号: 66, 期号: 9, 页码: 17
作者:  Zhao, Yongwei;  Du, Zidong;  Guo, Qi;  Xu, Zhiwei;  Chen, Yunji
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
universality  general-purpose architecture  specialized architecture  deep learning processor  universal circuit  
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：41/0  |  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：37/0  |  提交时间：2022/06/21
Accelerator  architecture  graph neural networks (GNNs)  
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21
作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载：45/0  |  提交时间：2021/12/01
Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis  
Space-address decoupled scratchpad memory management for neural network accelerators 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 13
作者:  Zhang, Zhenxing;  Sun, Shiyan;  Chen, Xunyu;  Zhi, Tian;  Guo, Qi;  Chen, Yunji
收藏  |  浏览/下载：72/0  |  提交时间：2020/12/10
deep neural network  memory management  scratchpad memory  
ParaML: A Polyvalent Multicore Accelerator for Machine Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 9, 页码: 1764-1777
作者:  Zhou, Shengyuan;  Guo, Qi;  Du, Zidong;  Liu, Daofu;  Chen, Tianshi;  Li, Ling;  Liu, Shaoli;  Zhou, Jinhong;  Temam, Olivier;  Feng, Xiaobing;  Zhou, Xuehai;  Chen, Yunji
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Neural networks  Machine learning  Testing  Support vector machines  Linear regression  Computers  Computer architecture  Accelerator  machine learning (ML) techniques  multicore accelerator  
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 968-985
作者:  Zeng, Xi;  Zhi, Tian;  Zhou, Xuda;  Du, Zidong;  Guo, Qi;  Liu, Shaoli;  Wang, Bingrui;  Wen, Yuanbo;  Wang, Chao;  Zhou, Xuehai;  Li, Ling;  Chen, Tianshi;  Sun, Ninghui;  Chen, Yunji
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Accelerator  architecture  deep neural networks  sparsity  
Machine Learning Computers With Fractal von Neumann Architecture 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 998-1014
作者:  Zhao, Yongwei;  Fan, Zhe;  Du, Zidong;  Zhi, Tian;  Li, Ling;  Guo, Qi;  Liu, Shaoli;  Xu, Zhiwei;  Chen, Tianshi;  Chen, Yunji
收藏  |  浏览/下载：62/0  |  提交时间：2020/12/10
Machine learning  Computers  Fractals  Programming  Computer architecture  Graphics processing units  Matrix decomposition  Machine learning  architecture  neural networks  programming efficiency