ITP OpenIR  > SCI会议论文
The Parallel Performance Optimization of The MS-CG Method
Wang, T; Xu, J; Wang, YT; Cao, WD; He, BJ
2018
Conference Name7th International Conference on Software and Computer Applications (ICSCA)
Source PublicationPROCEEDINGS OF 2018 7TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2018)
Pages72-76
Conference DateFEB 08-10, 2018
Conference PlaceKuantan, MALAYSIA
Publication PlaceNEW YORK
PublisherASSOC COMPUTING MACHINERY
ISBN978-1-4503-5414-1
AbstractCompared 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.
KeywordMOLECULAR-DYNAMICS
DOI10.1145/3185089.3185129
URL查看原文
Indexed ByCPCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering ; Computer Science, Theory & Methods
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Document Type会议论文
Identifierhttp://ir.itp.ac.cn/handle/311006/23551
CollectionSCI会议论文
Affiliation1.Chinese Acad Sci, Inst Software, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Theoret Phys, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, T,Xu, J,Wang, YT,et al. The Parallel Performance Optimization of The MS-CG Method[C]. NEW YORK:ASSOC COMPUTING MACHINERY,2018:72-76.
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