{"title":"Index domain alignment: minimizing cost of cross-referencing between distributed arrays","authors":"Jingke Li, M. Chen","doi":"10.1109/FMPC.1990.89493","DOIUrl":null,"url":null,"abstract":"The issue of data movement between processors due to cross-references between multiple distributed arrays is addressed. The problem of index domain alignment is formulated as finding a set of suitable alignment functions that map the index domains of the arrays into a common index domain so as to minimize the cost of data movement due to cross-references between the arrays. The cost function and the machine model used are abstractions of the current generation of distributed-memory machines. The problem as formulated is shown to be NP-complete. A heuristic algorithm is devised and shown to be efficient and to provide excellent results.<<ETX>>","PeriodicalId":193332,"journal":{"name":"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation","volume":"58 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"206","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMPC.1990.89493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 206
Abstract
The issue of data movement between processors due to cross-references between multiple distributed arrays is addressed. The problem of index domain alignment is formulated as finding a set of suitable alignment functions that map the index domains of the arrays into a common index domain so as to minimize the cost of data movement due to cross-references between the arrays. The cost function and the machine model used are abstractions of the current generation of distributed-memory machines. The problem as formulated is shown to be NP-complete. A heuristic algorithm is devised and shown to be efficient and to provide excellent results.<>