中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共13条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
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：32/0  |  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：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)  
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019
作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi
收藏  |  浏览/下载：19/0  |  提交时间：2023/07/12
Neural network acceleration  low precision training  quantization  
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  
Self-Aware Neural Network Systems: A Survey and New Perspective 期刊论文
PROCEEDINGS OF THE IEEE, 2020, 卷号: 108, 期号: 7, 页码: 1047-1067
作者:  Du, Zidong;  Guo, Qi;  Zhao, Yongwei;  Chen, Yunji;  Xu, Zhiwei;  Zhi, Tian
收藏  |  浏览/下载：56/0  |  提交时间：2020/12/10
Artificial neural networks  Neurons  Self-aware  Monitoring  Sensors  Program processors  Logic gates  Self-aware neural network (NN) processors  
Addressing Sparsity in Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 10, 页码: 1858-1871
作者:  Zhou, Xuda;  Du, Zidong;  Zhang, Shijin;  Zhang, Lei;  Lan, Huiying;  Liu, Shaoli;  Li, Ling;  Guo, Qi;  Chen, Tianshi;  Chen, Yunji
收藏  |  浏览/下载：266/0  |  提交时间：2019/12/10
Accelerator  architecture  deep neural networks (DNNs)  sparsity