{"title":"并行自动负载均衡的直接仿真方法","authors":"P. Cremonesi","doi":"10.1109/MPCS.1994.367063","DOIUrl":null,"url":null,"abstract":"Performing Direct Simulation Monte Carlo (DSMC) calculations on parallel processors may result in a strongly unbalanced distribution of work. This situation affects the performances leading to very low speedups. A method that makes use of adaptive domain decomposition to dynamically distribute the computational work load is presented. The method had been implemented on a Transputer System with up to 8 processors (20 MHz Inmos T800), using the FORTRAN version of Parasoft Express Library for parallel computers. The problems studied were hypersonic flows of a chemically reacting gas in a two-dimensional domain. The adaptive decomposition method worked well in uniformly distributing the computational work over an arbitrary number of processors and reduced the average execution time by over 45% in certain cases.<<ETX>>","PeriodicalId":64175,"journal":{"name":"专用汽车","volume":"42 1","pages":"323-327"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic load balancing in parallel direct simulation methods\",\"authors\":\"P. Cremonesi\",\"doi\":\"10.1109/MPCS.1994.367063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performing Direct Simulation Monte Carlo (DSMC) calculations on parallel processors may result in a strongly unbalanced distribution of work. This situation affects the performances leading to very low speedups. A method that makes use of adaptive domain decomposition to dynamically distribute the computational work load is presented. The method had been implemented on a Transputer System with up to 8 processors (20 MHz Inmos T800), using the FORTRAN version of Parasoft Express Library for parallel computers. The problems studied were hypersonic flows of a chemically reacting gas in a two-dimensional domain. The adaptive decomposition method worked well in uniformly distributing the computational work over an arbitrary number of processors and reduced the average execution time by over 45% in certain cases.<<ETX>>\",\"PeriodicalId\":64175,\"journal\":{\"name\":\"专用汽车\",\"volume\":\"42 1\",\"pages\":\"323-327\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"专用汽车\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.1109/MPCS.1994.367063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"专用汽车","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/MPCS.1994.367063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic load balancing in parallel direct simulation methods
Performing Direct Simulation Monte Carlo (DSMC) calculations on parallel processors may result in a strongly unbalanced distribution of work. This situation affects the performances leading to very low speedups. A method that makes use of adaptive domain decomposition to dynamically distribute the computational work load is presented. The method had been implemented on a Transputer System with up to 8 processors (20 MHz Inmos T800), using the FORTRAN version of Parasoft Express Library for parallel computers. The problems studied were hypersonic flows of a chemically reacting gas in a two-dimensional domain. The adaptive decomposition method worked well in uniformly distributing the computational work over an arbitrary number of processors and reduced the average execution time by over 45% in certain cases.<>