中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The Parallel Performance Optimization of The MS-CG Method

文献类型:会议论文

作者Wang, T; Xu, J; Wang, YT; Cao, WD; He, BJ
出版日期2018
会议日期FEB 08-10, 2018
会议地点Kuantan, MALAYSIA
关键词MOLECULAR-DYNAMICS
DOI10.1145/3185089.3185129
页码72-76
英文摘要Compared to all-atom molecular dynamics simulation, coarse-grained molecular dynamics simulation can simplify the molecular model, reduce the degrees of freedom and the calculation of interaction potentials, and improve the simulation scale and computation speed. The computational efficiency of the Multi-Scale Coarse-Graining (MS-CG) method is improved by parallel file reading, optimizing the equation solving algorithm, and the software interface is designed to integrate coarse-graining modeling process for user convenience. The experimental results show that the testing of parallel file reading can expanded to 120 or 240 cores for two different CG strategies on the Tianhe-2 supercomputer. Compared with single processor, the parallel file reading speeds up 54 and 72 times, and the parallel conjugate gradient algorithm speeds up 61 and 124 times respectively.
会议录PROCEEDINGS OF 2018 7TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2018)
会议录出版者ASSOC COMPUTING MACHINERY
会议录出版地NEW YORK
语种英语
URL标识查看原文
WOS研究方向Computer Science
ISBN号978-1-4503-5414-1
源URL[http://ir.itp.ac.cn/handle/311006/23551]  
专题SCI会议论文
作者单位1.Chinese Acad Sci, Inst Theoret Phys, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Software, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, T,Xu, J,Wang, YT,et al. The Parallel Performance Optimization of The MS-CG Method[C]. 见:. Kuantan, MALAYSIA. FEB 08-10, 2018.

入库方式: OAI收割

来源:理论物理研究所

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