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Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 1763-1773
作者:  Xue, Xinghua;  Liu, Cheng;  Liu, Bo;  Huang, Haitong;  Wang, Ying;  Luo, Tao;  Zhang, Lei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Fault tolerant systems  Fault tolerance  Artificial neural networks  Convolution  Reliability  Computational modeling  Neurons  Fault-tolerance  soft errors  vulnerability analysis  winograd convolution (WG-Conv)  
On-Line Fault Protection for ReRAM-Based Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2023, 卷号: 72, 期号: 2, 页码: 423-437
作者:  Li, Wen;  Wang, Ying;  Liu, Cheng;  He, Yintao;  Liu, Lian;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:14/0  |  提交时间:2023/07/12
Training  Fault detection  Computational modeling  Image edge detection  Memristors  Neural networks  Kernel  Deep neural network  hard fault  ReRAM  reliability  soft fault  
A Fast Precision Tuning Solution for Always-On DNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1236-1248
作者:  Wang, Ying;  He, Yintao;  Cheng, Long;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:25/0  |  提交时间:2022/12/07
Computer architecture  Neural networks  Computational modeling  Approximate computing  Tuning  Switches  Microprocessors  Always-on  CNN  computing-in-memory (CiM)  resistive RAM  
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  
MV-Net: Toward Real-Time Deep Learning on Mobile GPGPU Systems 期刊论文
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2019, 卷号: 15, 期号: 4, 页码: 25
作者:  Tang, Yibin;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:48/0  |  提交时间:2020/12/10
Edge computing  online scheduling  deep learning  energy efficiency  approximate computing