{"title":"最近邻网络的自动数据分发","authors":"M. Philippsen","doi":"10.1109/FMPC.1992.234890","DOIUrl":null,"url":null,"abstract":"An algorithm for mapping an arbitrary, multidimensional array onto an arbitrarily shaped multidimensional nearest-neighbor network of a distributed memory machine is presented. The individual dimensions of the array are labeled with high-level usage descriptors that either can be provided by the programmer or can be derived by sophisticated static compiler analysis. The presented algorithm achieves an appropriate exploitation of nearest-neighbor communication and allows for efficient address calculations. The author describes the integration of this technique into an optimizing compiler for Modula-2 and derives extensions that render efficient translation of nested parallelism possible and that provide support for thread scheduling.<<ETX>>","PeriodicalId":117789,"journal":{"name":"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Automatic data distribution for nearest neighbor networks\",\"authors\":\"M. Philippsen\",\"doi\":\"10.1109/FMPC.1992.234890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm for mapping an arbitrary, multidimensional array onto an arbitrarily shaped multidimensional nearest-neighbor network of a distributed memory machine is presented. The individual dimensions of the array are labeled with high-level usage descriptors that either can be provided by the programmer or can be derived by sophisticated static compiler analysis. The presented algorithm achieves an appropriate exploitation of nearest-neighbor communication and allows for efficient address calculations. The author describes the integration of this technique into an optimizing compiler for Modula-2 and derives extensions that render efficient translation of nested parallelism possible and that provide support for thread scheduling.<<ETX>>\",\"PeriodicalId\":117789,\"journal\":{\"name\":\"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FMPC.1992.234890\",\"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 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMPC.1992.234890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic data distribution for nearest neighbor networks
An algorithm for mapping an arbitrary, multidimensional array onto an arbitrarily shaped multidimensional nearest-neighbor network of a distributed memory machine is presented. The individual dimensions of the array are labeled with high-level usage descriptors that either can be provided by the programmer or can be derived by sophisticated static compiler analysis. The presented algorithm achieves an appropriate exploitation of nearest-neighbor communication and allows for efficient address calculations. The author describes the integration of this technique into an optimizing compiler for Modula-2 and derives extensions that render efficient translation of nested parallelism possible and that provide support for thread scheduling.<>