{"title":"并行程序的编译时分区和调度","authors":"Vivek Sarkar, J. Hennessy","doi":"10.1145/12276.13313","DOIUrl":null,"url":null,"abstract":"Partitioning and scheduling techniques are necessary to implement parallel languages on multiprocessors. Multiprocessor performance is maximized when parallelism between tasks is optimally traded off with communication and synchronization overhead. We present compile-time partitioning and scheduling techniques to achieve this trade-off.","PeriodicalId":414056,"journal":{"name":"SIGPLAN Conferences and Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1986-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"184","resultStr":"{\"title\":\"Compile-time partitioning and scheduling of parallel programs\",\"authors\":\"Vivek Sarkar, J. Hennessy\",\"doi\":\"10.1145/12276.13313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Partitioning and scheduling techniques are necessary to implement parallel languages on multiprocessors. Multiprocessor performance is maximized when parallelism between tasks is optimally traded off with communication and synchronization overhead. We present compile-time partitioning and scheduling techniques to achieve this trade-off.\",\"PeriodicalId\":414056,\"journal\":{\"name\":\"SIGPLAN Conferences and Workshops\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1986-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"184\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGPLAN Conferences and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/12276.13313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGPLAN Conferences and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/12276.13313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compile-time partitioning and scheduling of parallel programs
Partitioning and scheduling techniques are necessary to implement parallel languages on multiprocessors. Multiprocessor performance is maximized when parallelism between tasks is optimally traded off with communication and synchronization overhead. We present compile-time partitioning and scheduling techniques to achieve this trade-off.