L. Jamieson, M. Atallah, J. Cuny, D. Gannon, J. JáJá, V. Lo, R. Miller
{"title":"Issues on the algorithm-software continuum","authors":"L. Jamieson, M. Atallah, J. Cuny, D. Gannon, J. JáJá, V. Lo, R. Miller","doi":"10.1109/FMPC.1992.234957","DOIUrl":null,"url":null,"abstract":"To date, highest performance on parallel systems has required expertise spanning high-level algorithm design through architecture-dependent fine tuning of the implementation. Application users who are uninformed about architecture details are not able to take advantage of (or compensate for) idiosyncrasies of the target machine; parallel processing experts are often not able to explore radically different ways of solving a physical problem in order to adopt the approach best suited to a particular architecture. Moreover, software tools have not yet succeeded in automating the realization of high-performance parallel applications. The authors therefore deal with questions about how much of an algorithm designer a user of parallel systems can/should be expected to be, and how much software support is realistic to expect.<<ETX>>","PeriodicalId":117789,"journal":{"name":"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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.1992.234957","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
To date, highest performance on parallel systems has required expertise spanning high-level algorithm design through architecture-dependent fine tuning of the implementation. Application users who are uninformed about architecture details are not able to take advantage of (or compensate for) idiosyncrasies of the target machine; parallel processing experts are often not able to explore radically different ways of solving a physical problem in order to adopt the approach best suited to a particular architecture. Moreover, software tools have not yet succeeded in automating the realization of high-performance parallel applications. The authors therefore deal with questions about how much of an algorithm designer a user of parallel systems can/should be expected to be, and how much software support is realistic to expect.<>