{"title":"Mapping onto three classes of parallel machines: a case study using the cyclic reduction algorithm","authors":"G. Saghi, H. Siegel, J. L. Gray","doi":"10.1109/IPPS.1993.262888","DOIUrl":null,"url":null,"abstract":"Mapping cyclic reduction, a known approach for the parallel solution of tridiagonal systems of equations, onto the MasPar MP-1, nCUBE 2, and PASM parallel machines is discussed. Each of these represents a different mode of parallelism. Issues addressed are SIMD/MIMD trade-offs, the effect on execution time of increasing the number of processors used, the impact of the inter-processor communications network on performance, the importance of predicting algorithm performance as a function of the mapping used, and the advantages of a partitionable system. Analytical results are validated by experimentation on all three machines.<<ETX>>","PeriodicalId":248927,"journal":{"name":"[1993] Proceedings Seventh International Parallel Processing Symposium","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings Seventh International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1993.262888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mapping cyclic reduction, a known approach for the parallel solution of tridiagonal systems of equations, onto the MasPar MP-1, nCUBE 2, and PASM parallel machines is discussed. Each of these represents a different mode of parallelism. Issues addressed are SIMD/MIMD trade-offs, the effect on execution time of increasing the number of processors used, the impact of the inter-processor communications network on performance, the importance of predicting algorithm performance as a function of the mapping used, and the advantages of a partitionable system. Analytical results are validated by experimentation on all three machines.<>
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