{"title":"评估网格连接多处理器运行表示N个物体之间引力相互作用的并行算法","authors":"Jamil S. Al-Azzeh","doi":"10.46300/9108.2021.15.5","DOIUrl":null,"url":null,"abstract":"In this study, a parallel algorithm to solve the problem of gravitational interaction between N bodies is considered. The peak performance of an 8 × 8 mesh-connected multiprocessor system while implementing the algorithm is evaluated. Further, the mappings of parallel threads of the algorithm onto the multiprocessor are studied based on two criteria for minimizing the communication delay. The corresponding real application performance of the multiprocessor is estimated.","PeriodicalId":89779,"journal":{"name":"International journal of computers in healthcare","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Mesh-connected Multiprocessor Running a Parallel Algorithm Representing the Gravitational Interaction Between N Bodies\",\"authors\":\"Jamil S. Al-Azzeh\",\"doi\":\"10.46300/9108.2021.15.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a parallel algorithm to solve the problem of gravitational interaction between N bodies is considered. The peak performance of an 8 × 8 mesh-connected multiprocessor system while implementing the algorithm is evaluated. Further, the mappings of parallel threads of the algorithm onto the multiprocessor are studied based on two criteria for minimizing the communication delay. The corresponding real application performance of the multiprocessor is estimated.\",\"PeriodicalId\":89779,\"journal\":{\"name\":\"International journal of computers in healthcare\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of computers in healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46300/9108.2021.15.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of computers in healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46300/9108.2021.15.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the Mesh-connected Multiprocessor Running a Parallel Algorithm Representing the Gravitational Interaction Between N Bodies
In this study, a parallel algorithm to solve the problem of gravitational interaction between N bodies is considered. The peak performance of an 8 × 8 mesh-connected multiprocessor system while implementing the algorithm is evaluated. Further, the mappings of parallel threads of the algorithm onto the multiprocessor are studied based on two criteria for minimizing the communication delay. The corresponding real application performance of the multiprocessor is estimated.