{"title":"大规模并行计算机上的高性能增量调度—全球策略","authors":"Minyou Wu, W. Shu","doi":"10.1145/224170.224358","DOIUrl":null,"url":null,"abstract":"Runtime incremental parallel scheduling (RIPS) is a new approach for load balancing. In parallel scheduling, all processors cooperate together to balance the workload. Parallel scheduling accurately balances the load by using global load information. In incremental scheduling, the system scheduling activity alternates with the underlying computation work. RIPS produces high-quality load balancing and adapts to applications of nonuniform structures. This paper presents methods for scheduling a single job on a dedicated parallel machine.","PeriodicalId":269909,"journal":{"name":"Proceedings of the IEEE/ACM SC95 Conference","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"High-Performance Incremental Scheduling on Massively Parallel Computers — A Global Approach\",\"authors\":\"Minyou Wu, W. Shu\",\"doi\":\"10.1145/224170.224358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Runtime incremental parallel scheduling (RIPS) is a new approach for load balancing. In parallel scheduling, all processors cooperate together to balance the workload. Parallel scheduling accurately balances the load by using global load information. In incremental scheduling, the system scheduling activity alternates with the underlying computation work. RIPS produces high-quality load balancing and adapts to applications of nonuniform structures. This paper presents methods for scheduling a single job on a dedicated parallel machine.\",\"PeriodicalId\":269909,\"journal\":{\"name\":\"Proceedings of the IEEE/ACM SC95 Conference\",\"volume\":\"118 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE/ACM SC95 Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/224170.224358\",\"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 of the IEEE/ACM SC95 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/224170.224358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-Performance Incremental Scheduling on Massively Parallel Computers — A Global Approach
Runtime incremental parallel scheduling (RIPS) is a new approach for load balancing. In parallel scheduling, all processors cooperate together to balance the workload. Parallel scheduling accurately balances the load by using global load information. In incremental scheduling, the system scheduling activity alternates with the underlying computation work. RIPS produces high-quality load balancing and adapts to applications of nonuniform structures. This paper presents methods for scheduling a single job on a dedicated parallel machine.
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