中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共8条,第1-8条 帮助

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Accelerating k-Shape Time Series Clustering Algorithm Using GPU 期刊论文  OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 10, 页码: 2718-2734
作者:  
Wang, Xun;  Song, Ruibao;  Xiao, Junmin;  Li, Tong;  Li, Xueqi
  |  收藏  |  浏览/下载:35/0  |  提交时间:2023/12/04
Simulation of dynamic fluid-solid interactions with an improved direct-forcing immersed boundary method 期刊论文  OAI收割
PARTICUOLOGY, 2015, 卷号: 18, 期号: FEB, 页码: 22-34
作者:  
Di, Shengbin;  Ge, Wei
收藏  |  浏览/下载:34/0  |  提交时间:2015/04/01
A strategy for raster-based geocomputation under different parallel computing platforms SCI/SSCI论文  OAI收割
2014
Qin C. Z.; Zhan L. J.; Zhu A. X.; Zhou C. H.
收藏  |  浏览/下载:42/0  |  提交时间:2014/12/24
A GPU-Based Parallel Genetic Algorithm for Generating Daily Activity Plans 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 卷号: 13, 期号: 3, 页码: 1474-1480
作者:  
Wang, Kai;  Shen, Zhen
收藏  |  浏览/下载:25/0  |  提交时间:2015/08/12
Real-Time Visualized Freehand 3D Ultrasound Reconstruction Based on GPU 期刊论文  OAI收割
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2010, 卷号: 14, 期号: 6, 页码: 1338-1345
作者:  
Dai, Yakang;  Tian, Jie;  Dong, Di;  Yan, Guorui;  Zheng, Hairong
收藏  |  浏览/下载:53/0  |  提交时间:2015/08/12
Image parallel processing based on GPU (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:  
Wang J.-L.;  Wang J.-L.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
In order to solve the compute-intensive character of image processing  based on advantages of GPU parallel operation  parallel acceleration processing technique is proposed for image. First  efficient architecture of GPU is introduced that improves computational efficiency  comparing with CPU. Then  Sobel edge detector and homomorphic filtering  two representative image processing algorithms  are embedded into GPU to validate the technique. Finally  tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time  between host memory and device memory  is taken into account  speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU  respectively  and GPU is practical for image processing. 2010 IEEE.  
Particle-Mesh Ewald(PME)算法的GPU加速 期刊论文  OAI收割
计算物理, 2010, 期号: 04, 页码: 548-554
作者:  
Xu J(徐骥);  Ge Y(葛蔚);  Ren Y(任瑛);  Li JH(李静海)
收藏  |  浏览/下载:41/0  |  提交时间:2014/08/27
A method of using GPU to accelerate seismic pre-stack time migration 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2009, 卷号: 52, 期号: 1, 页码: 245-252
作者:  
Li Bo;  Liu Guo-Feng;  Liu Hong
  |  收藏  |  浏览/下载:20/0  |  提交时间:2018/09/26