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Portrait: A holistic computation and bandwidth balanced performance evaluation model for heterogeneous systems 期刊论文
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 卷号: 35, 页码: 8
作者:  Wu, Jingya;  Lu, Wenyan;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载：40/0  |  提交时间：2022/12/07
Accelerators  Heterogeneous systems  Bandwidth contention  Hardware hazard  PCIe  
Accurate reliability analysis methods for approximate computing circuits 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2022, 卷号: 27, 期号: 4, 页码: 729-740
作者:  Wang, Zhen;  Zhang, Guofa;  Ye, Jing;  Jiang, Jianhui;  Li, Fengyong;  Wang, Yong
收藏  |  浏览/下载：40/0  |  提交时间：2022/06/21
Reliability  Integrated circuit reliability  Correlation  Probability  Approximate computing  Integrated circuit modeling  Circuit faults  Approximate Computing Circuit (ACC)  correlation coefficient  iterative Probabilistic Transfer Matrix (PTM)  reliability  
BZIP: A compact data memory system for UTXO-based blockchains 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2020, 卷号: 109, 页码: 8
作者:  Jiang, Shuhao;  Li, Jiajun;  Gong, Shijun;  Yan, Junchao;  Yan, Guihai;  Sun, Yi;  Li, Xiaowei
收藏  |  浏览/下载：55/0  |  提交时间：2020/12/10
UTXO  Blockchain  Data Compression  IoT  
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：96/0  |  提交时间：2020/12/10
Computational modeling  Throughput  Adders  Machine learning  Acceleration  Kernel  Computational efficiency  Accelerator architectures  neural network hardware  multiplying circuits  
Evaluating and Constraining Hardware Assertions with Absent Scenarios 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2020, 卷号: 35, 期号: 5, 页码: 1198-1216
作者:  Chao, Hui-Na;  Li, Hua-Wei;  Song, Xiaoyu;  Wang, Tian-Cheng;  Li, Xiao-Wei
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
hardware formal verification  assertion generation  data mining  assertion evaluation  assertion coverage  
INOR-An Intelligent noise reduction method to defend against adversarial audio examples 期刊论文
NEUROCOMPUTING, 2020, 卷号: 401, 页码: 160-172
作者:  Guo, Qingli;  Ye, Jing;  Chen, Yiran;  Hu, Yu;  Lan, Yazhu;  Zhang, Guohe;  Li, Xiaowei
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Adversarial audio examples  Defense against adversarial audio examples  INOR  
Software-Based Self-Testing Using Bounded Model Checking for Out-of-Order Superscalar Processors 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 3, 页码: 714-727
作者:  Zhang, Ying;  Chakrabarty, Krishnendu;  Peng, Zebo;  Rezine, Ahmed;  Li, Huawei;  Eles, Petru;  Jiang, Jianhui
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Circuit faults  Built-in self-test  Out of order  Model checking  Integrated circuit modeling  Bounded model checking (BMC)  online testing  out-of-order superscalar processors  software-based self-testing (SBST)  
MultiPAD: A Multivariant Partition-Based Method for Audio Adversarial Examples Detection 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 63368-63380
作者:  Guo, Qingli;  Ye, Jing;  Hu, Yu;  Zhang, Guohe;  Li, Xiaowei;  Li, Huawei
收藏  |  浏览/下载：49/0  |  提交时间：2020/12/10
Speech recognition  Feature extraction  Decoding  Mathematical model  Acoustics  Psychoacoustic models  Radio frequency  Adversarial examples  audio  detection  multivariant partition  
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：55/0  |  提交时间：2020/12/10
Edge computing  online scheduling  deep learning  energy efficiency  approximate computing  
A QoS-QoR Aware CNN Accelerator Design Approach 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 11, 页码: 1995-2007
作者:  Wang, Ying;  Li, Huawei;  Cheng, Long;  Li, Xiaowei
收藏  |  浏览/下载：56/0  |  提交时间：2020/12/10
Approximate computing  convolutional neural network (CNN)  deep learning (DL)  quality of service (QoS)  real-time