{"title":"一个并行科学代码的相位建模","authors":"P. Worley","doi":"10.1109/SHPCC.1992.232677","DOIUrl":null,"url":null,"abstract":"Describes a performance model for a parallel program that solves the nonlinear shallow water equations using the spectral transform method. The model is generated via a phase analysis, and consists of a sequence of simple models whose sum describes the performance of the entire code. This use of a sequence of simple models increases the range of validity of the model as the problem and machine parameters scale.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"64 9-10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Phase modeling of a parallel scientific code\",\"authors\":\"P. Worley\",\"doi\":\"10.1109/SHPCC.1992.232677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Describes a performance model for a parallel program that solves the nonlinear shallow water equations using the spectral transform method. The model is generated via a phase analysis, and consists of a sequence of simple models whose sum describes the performance of the entire code. This use of a sequence of simple models increases the range of validity of the model as the problem and machine parameters scale.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"64 9-10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHPCC.1992.232677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Describes a performance model for a parallel program that solves the nonlinear shallow water equations using the spectral transform method. The model is generated via a phase analysis, and consists of a sequence of simple models whose sum describes the performance of the entire code. This use of a sequence of simple models increases the range of validity of the model as the problem and machine parameters scale.<>