{"title":"处理器阵列上的单源最短路径问题","authors":"P. Narayanan","doi":"10.1109/FMPC.1992.234924","DOIUrl":null,"url":null,"abstract":"Algorithms for computing the shortest paths to every vertex from a single source vertex in nonnegatively weighted graphs are examined. A conventional data parallel algorithm and a replicated data algorithm for the single-source shortest path problem are presented. Both algorithms have been implemented on a Connection Machine CM-2 and a MasPar MP-1. Analytical and experimental speedups using the data replication technique are presented.<<ETX>>","PeriodicalId":117789,"journal":{"name":"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Single source shortest path problem on processor arrays\",\"authors\":\"P. Narayanan\",\"doi\":\"10.1109/FMPC.1992.234924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithms for computing the shortest paths to every vertex from a single source vertex in nonnegatively weighted graphs are examined. A conventional data parallel algorithm and a replicated data algorithm for the single-source shortest path problem are presented. Both algorithms have been implemented on a Connection Machine CM-2 and a MasPar MP-1. Analytical and experimental speedups using the data replication technique are presented.<<ETX>>\",\"PeriodicalId\":117789,\"journal\":{\"name\":\"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"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.1992.234924\",\"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.1992.234924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Single source shortest path problem on processor arrays
Algorithms for computing the shortest paths to every vertex from a single source vertex in nonnegatively weighted graphs are examined. A conventional data parallel algorithm and a replicated data algorithm for the single-source shortest path problem are presented. Both algorithms have been implemented on a Connection Machine CM-2 and a MasPar MP-1. Analytical and experimental speedups using the data replication technique are presented.<>