{"title":"Mapping Data to Processors in Distributed Memory Computations","authors":"M. Rosing, R. P. Weaver","doi":"10.1109/DMCC.1990.556295","DOIUrl":null,"url":null,"abstract":"Abstract : The authors present a structured scheme for allowing a programmer to specify the mapping of data to distributed memory multiprocessors. This scheme lets the programmer specify information about communication patterns as well as information about distributing data structures onto processors (including partitioning with replication). This mapping scheme allows the user to map arrays of data to arrays of processors. The user specifies how each axis of the data structure is mapped onto an axis of the processor structure. This mapping may either be one to one or one to many depending on the parallelism, load balancing, and communication requirements. The authors discuss the basics of how this scheme is implemented in the DINO language, the areas in which it has worked well, the few areas in which there were significant problems, and some ideas for future improvements.","PeriodicalId":204431,"journal":{"name":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1990.556295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
Abstract : The authors present a structured scheme for allowing a programmer to specify the mapping of data to distributed memory multiprocessors. This scheme lets the programmer specify information about communication patterns as well as information about distributing data structures onto processors (including partitioning with replication). This mapping scheme allows the user to map arrays of data to arrays of processors. The user specifies how each axis of the data structure is mapped onto an axis of the processor structure. This mapping may either be one to one or one to many depending on the parallelism, load balancing, and communication requirements. The authors discuss the basics of how this scheme is implemented in the DINO language, the areas in which it has worked well, the few areas in which there were significant problems, and some ideas for future improvements.
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