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Accelerating DNN-based 3D point cloud processing for mobile computing 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 11, 页码: 11
作者:  Liu, Bosheng;  Chen, Xiaoming;  Han, Yinhe;  Li, Jiajun;  Xu, Haobo;  Li, Xiaowei
收藏  |  浏览/下载:226/0  |  提交时间:2019/12/10
deep neural network acceleration  point cloud data  neighbor point search  mobile robotics  hardware architecture  
SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 11, 页码: 1663-1677
作者:  Li, Jiajun;  Jiang, Shuhao;  Gong, Shijun;  Wu, Jingya;  Yan, Junchao;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载:41/0  |  提交时间:2020/12/10
Convolutional neural networks  accelerator architecture  hardware acceleration  
ShuttleNoC: Power-Adaptable Communication Infrastructure for Many-Core Processors 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 8, 页码: 1438-1451
作者:  Lu, Hang;  Chang, Yisong;  Yan, Guihai;  Lin, Ning;  Wei, Xin;  Li, Xiaowei
收藏  |  浏览/下载:76/0  |  提交时间:2019/12/10
Many-core processors  networks-on-chip (NoCs)  power management  shuttle networks-on-chip (ShuttleNoC)  
Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers 期刊论文
MOBILE NETWORKS & APPLICATIONS, 2019, 卷号: 24, 期号: 3, 页码: 1063-1077
作者:  Marahatta, Avinab;  Wang, Youshi;  Zhang, Fa;  Sangaiah, Arun Kumar;  Tyagi, Sumarga Kumar Sah;  Liu, Zhiyong
收藏  |  浏览/下载:84/0  |  提交时间:2019/08/16
Cloud computing  Cloud data center  Fault-tolerant  Dynamic task scheduling  Virtual machine  Migration  Energy-efficiency  
Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 6, 页码: 867-881
作者:  Lu, Wenyan;  Yan, Guihai;  Li, Jiajun;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei
收藏  |  浏览/下载:249/0  |  提交时间:2019/08/16
Convolutional neural networks  accelerator  architecture  parallelism  sparsity  
Cacheap: Portable and Collaborative I/O Optimization for Graph Processing 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2019, 卷号: 34, 期号: 3, 页码: 690-706
作者:  Zhao, Peng;  Ding, Chen;  Liu, Lei;  Yu, Jiping;  Han, Wentao;  Feng, Xiao-Bing
收藏  |  浏览/下载:75/0  |  提交时间:2019/08/16
out-of-core graph processing system  I/O optimization  memory cache  graph analytics  locality  
SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2019, 卷号: 24, 期号: 1, 页码: 27
作者:  Li, Jiajun;  Yan, Guihai;  Lu, Wenyan;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei
收藏  |  浏览/下载:70/0  |  提交时间:2019/04/03
Deep neural networks  convolutional neural networks  accelerator  architecture  resource utilization  complementary effect