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Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265
作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Liu, Tianyu;  Wu, Haibin;  Liu, Yanhuan;  Wu, Meng;  Wu, Xinxin;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun
收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20
Accelerator  output activation  prediction  sparse convolutional neural network  
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：32/0  |  提交时间：2022/12/07
Scheduling  Convolutional neural networks (CNNs)  GPUs  Service-level-objective (SLO)  Energy minimization  Inference services  
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2022, 卷号: 128, 页码: 20
作者:  Choong, Benjamin Chen Ming;  Luo, Tao;  Liu, Cheng;  He, Bingsheng;  Zhang, Wei;  Zhou, Joey Tianyi
收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
Artificial intelligence  Hardware-software co-design  Deep learning  Embedded systems  Emerging memory  
EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs 期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 卷号: 130, 页码: 253-268
作者:  Yao, Chunrong;  Liu, Wantao;  Tang, Weiqing;  Hu, Songlin
收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07
Energy-aware  Convolutional neural network (CNN) inference  High-performance GPUs  Workload scheduling  Service-Level-Objective (SLO)  
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 29-32
作者:  Xiao, Hang;  Xu, Haobo;  Wang, Ying;  Wang, Yujie;  Han, Yinhe
收藏  |  浏览/下载：26/0  |  提交时间：2022/12/07
Linear particle accelerator  Correlation  Kernel  Convolution  Linear regression  System-on-chip  Quantization (signal)  Neural network  acceleration  convolution  linear regression  bit-sparsity  
An Edge 3D CNN Accelerator for Low-Power Activity Recognition 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 5, 页码: 918-930
作者:  Wang, Ying;  Wang, Yongchen;  Shi, Cong;  Cheng, Long;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：42/0  |  提交时间：2021/12/01
Three-dimensional displays  Two dimensional displays  Arrays  Feature extraction  System-on-chip  Redundancy  3D CNN  activity analysis  CNN accelerator  network-on-chip  video  
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：64/0  |  提交时间：2020/12/10
CNNs  energy efficiency  high-performance GPU  inference  
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：52/0  |  提交时间：2020/12/10
Edge computing  online scheduling  deep learning  energy efficiency  approximate computing  
A Case of On-Chip Memory Subsystem Design for Low-Power CNN Accelerators 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 卷号: 37, 期号: 10, 页码: 1971-1984
作者:  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：72/0  |  提交时间：2019/12/10
Convolutional neural network (CNN)  deep learning  low power  memory subsystem  
无权访问的条目 学位论文
作者:  李响
Adobe PDF(1004Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2018/11/28