{"title":"计算机集群上基于域的分解并行分子动力学算法","authors":"JiuLing Zhao, Jiufen Zhao","doi":"10.1109/FSKD.2007.260","DOIUrl":null,"url":null,"abstract":"With MPI and C/C++, a parallel algorithm of molecular dynamics based on octal-tree domain decomposition method was implemented for micro canonical system (NVE), and run the code on a small cluster. The code speed-up was examined for a number of particles ranging from N = 192 to 10800 and for number of processors from P = 2 up to 8. As a result, the computing performance has been improved obviously, that is the computing speedup of the system can be three times or more than those computing on the single computer.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Domain-Based Decomposition Parallel Molecular Dynamics Algorithm on Computer Clusters\",\"authors\":\"JiuLing Zhao, Jiufen Zhao\",\"doi\":\"10.1109/FSKD.2007.260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With MPI and C/C++, a parallel algorithm of molecular dynamics based on octal-tree domain decomposition method was implemented for micro canonical system (NVE), and run the code on a small cluster. The code speed-up was examined for a number of particles ranging from N = 192 to 10800 and for number of processors from P = 2 up to 8. As a result, the computing performance has been improved obviously, that is the computing speedup of the system can be three times or more than those computing on the single computer.\",\"PeriodicalId\":201883,\"journal\":{\"name\":\"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2007.260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2007.260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Domain-Based Decomposition Parallel Molecular Dynamics Algorithm on Computer Clusters
With MPI and C/C++, a parallel algorithm of molecular dynamics based on octal-tree domain decomposition method was implemented for micro canonical system (NVE), and run the code on a small cluster. The code speed-up was examined for a number of particles ranging from N = 192 to 10800 and for number of processors from P = 2 up to 8. As a result, the computing performance has been improved obviously, that is the computing speedup of the system can be three times or more than those computing on the single computer.