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Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13
作者:  Chen, Yanming;  Wu, Gang;  Shuai, Mingrui;  Lou, Shubin;  Zhang, Yiwen;  An, Zhulin
收藏  |  浏览/下载:17/0  |  提交时间:2024/05/20
Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs  
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs 期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 265-281
作者:  Yao, Chunrong;  Liu, Wantao;  Liu, Zhibing;  Yan, Longchuan;  Hu, Songlin;  Tang, Weiqing
收藏  |  浏览/下载:35/0  |  提交时间:2022/12/07
Scheduling  Convolutional neural networks (CNNs)  GPUs  Service-level-objective (SLO)  Energy minimization  Inference services  
Search-Free Inference Acceleration for Sparse Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2156-2169
作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Wu, Jigang;  Chang, Liang;  Liu, Peng;  Xu, Haobo
收藏  |  浏览/下载:32/0  |  提交时间:2022/12/07
Internal interconnection  memory bandwidth  sparse accelerators  sparse convolution neural networks (CNNs)  
Practical Attacks on Deep Neural Networks by Memory Trojaning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 6, 页码: 1230-1243
作者:  Hu, Xing;  Zhao, Yang;  Deng, Lei;  Liang, Ling;  Zuo, Pengfei;  Ye, Jing;  Lin, Yingyan;  Xie, Yuan
收藏  |  浏览/下载:46/0  |  提交时间:2021/12/01
Trojan horses  Hardware  Integrated circuit modeling  Computational modeling  Security  Payloads  Convolutional neural networks (CNNs)  deep learning accelerator  deep learning attack  hardware Trojan  
Recognizing Global Dams From High-Resolution Remotely Sensed Images Using Convolutional Neural Networks 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 6363-6371
作者:  Fang, Weizhen;  Sun, Yiyuan;  Ji, Rui;  Wan, Wei;  Ma, Lei
收藏  |  浏览/下载:34/0  |  提交时间:2021/12/01
Dams  Image recognition  Remote sensing  Earth  Training  Internet  Object recognition  Convolutional neural networks (CNNs)  dams  deep learning  Google earth  object recognition  
Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 26
作者:  Yao, Chunrong;  Liu, Wantao;  Tang, Weiqing;  Guo, Jinrong;  Hu, Songlin;  Lu, Yijun;  Jiang, Wei
收藏  |  浏览/下载:66/0  |  提交时间:2020/12/10
CNNs  energy efficiency  high-performance GPU  inference