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Amphis: Managing Reconfigurable Processor Architectures With Generative Adversarial Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 11, 页码: 3993-4003
作者:  Chen, Weiwei;  Wang, Ying;  Xu, Ying;  Gao, Chengsi;  Han, Yinhe;  Zhang, Lei
收藏  |  浏览/下载:14/0  |  提交时间:2023/07/12
Resource management  Predictive models  Runtime  Generators  Generative adversarial networks  Computational modeling  Training  Design space exploration  generative adversarial network (GAN)  reconfigurable processor  
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  
Architecting Effectual Computation for Machine Learning Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 10, 页码: 2654-2667
作者:  Lu, Hang;  Zhang, Mingzhe;  Han, Yinhe;  Wang, Qi;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:88/0  |  提交时间:2020/12/10
Computational modeling  Throughput  Adders  Machine learning  Acceleration  Kernel  Computational efficiency  Accelerator architectures  neural network hardware  multiplying circuits  
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:47/0  |  提交时间:2020/12/10
Edge computing  online scheduling  deep learning  energy efficiency  approximate computing