{"title":"用于在分布式内存多处理器上调度的并行编程工具","authors":"T. Yang, A. Gerasoulis","doi":"10.1109/SHPCC.1992.232673","DOIUrl":null,"url":null,"abstract":"PYRROS is a tool for scheduling and parallel code generation for distributed memory message passing architectures. In this paper, the authors discuss several compile-time optimization techniques used in PYRROS. The scheduling part of PYRROS optimizes both data and program mapping so that the parallel time is minimized. The communication and storage optimization part facilitates the generation of efficient parallel codes. The related issues of partitioning and 'owner computes rule' are discussed and the importance of program scheduling is demonstrated.<<ETX>>","PeriodicalId":254515,"journal":{"name":"Proceedings Scalable High Performance Computing Conference SHPCC-92.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"A parallel programming tool for scheduling on distributed memory multiprocessors\",\"authors\":\"T. Yang, A. Gerasoulis\",\"doi\":\"10.1109/SHPCC.1992.232673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PYRROS is a tool for scheduling and parallel code generation for distributed memory message passing architectures. In this paper, the authors discuss several compile-time optimization techniques used in PYRROS. The scheduling part of PYRROS optimizes both data and program mapping so that the parallel time is minimized. The communication and storage optimization part facilitates the generation of efficient parallel codes. The related issues of partitioning and 'owner computes rule' are discussed and the importance of program scheduling is demonstrated.<<ETX>>\",\"PeriodicalId\":254515,\"journal\":{\"name\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Scalable High Performance Computing Conference SHPCC-92.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHPCC.1992.232673\",\"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.1992.232673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel programming tool for scheduling on distributed memory multiprocessors
PYRROS is a tool for scheduling and parallel code generation for distributed memory message passing architectures. In this paper, the authors discuss several compile-time optimization techniques used in PYRROS. The scheduling part of PYRROS optimizes both data and program mapping so that the parallel time is minimized. The communication and storage optimization part facilitates the generation of efficient parallel codes. The related issues of partitioning and 'owner computes rule' are discussed and the importance of program scheduling is demonstrated.<>
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