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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:51/0  |  提交时间:2020/12/10
Accelerator  architecture  deep neural networks  sparsity  
Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network 期刊论文
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2019, 卷号: 47, 期号: 3, 页码: 345-359
作者:  Han, Dong;  Zhou, Shengyuan;  Zhi, Tian;  Wang, Yibo;  Liu, Shaoli
收藏  |  浏览/下载:72/0  |  提交时间:2019/08/16
Float-Fix  Neural network  Hardware accelerator  Data type  
DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning 期刊论文
COMMUNICATIONS OF THE ACM, 2016, 卷号: 59, 期号: 11, 页码: 105-112
作者:  Chen, Yunji;  Chen, Tianshi;  Xu, Zhiwei;  Sun, Ninghui;  Temam, Olivier
收藏  |  浏览/下载:70/0  |  提交时间:2019/12/13
Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2015, 卷号: 34, 期号: 8, 页码: 1223-1235
作者:  Du, Zidong;  Lingamneni, Avinash;  Chen, Yunji;  Palem, Krishna V.;  Temam, Olivier;  Wu, Chengyong
收藏  |  浏览/下载:54/0  |  提交时间:2019/12/13
Accelerator architectures  energy efficient  hardware neuron network  inexact computing