{"title":"本地搜索DAG调度和任务分配","authors":"Minyou Wu, W. Shu, J. Gu","doi":"10.1109/ICPP.1997.622584","DOIUrl":null,"url":null,"abstract":"Scheduling DAGs to multiprocessors is one of the key issues in high-performance computing. Local search can be used to effectively improve the quality of a scheduling algorithm. In this paper, based on topological ordering, we present a fast local search algorithm which can improve the quality of DAG scheduling algorithms. This low complexity algorithm can effectively reduce the length of a given schedule.","PeriodicalId":221761,"journal":{"name":"Proceedings of the 1997 International Conference on Parallel Processing (Cat. No.97TB100162)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Local search for DAG scheduling and task assignment\",\"authors\":\"Minyou Wu, W. Shu, J. Gu\",\"doi\":\"10.1109/ICPP.1997.622584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scheduling DAGs to multiprocessors is one of the key issues in high-performance computing. Local search can be used to effectively improve the quality of a scheduling algorithm. In this paper, based on topological ordering, we present a fast local search algorithm which can improve the quality of DAG scheduling algorithms. This low complexity algorithm can effectively reduce the length of a given schedule.\",\"PeriodicalId\":221761,\"journal\":{\"name\":\"Proceedings of the 1997 International Conference on Parallel Processing (Cat. No.97TB100162)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1997 International Conference on Parallel Processing (Cat. No.97TB100162)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.1997.622584\",\"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 1997 International Conference on Parallel Processing (Cat. No.97TB100162)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.1997.622584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Local search for DAG scheduling and task assignment
Scheduling DAGs to multiprocessors is one of the key issues in high-performance computing. Local search can be used to effectively improve the quality of a scheduling algorithm. In this paper, based on topological ordering, we present a fast local search algorithm which can improve the quality of DAG scheduling algorithms. This low complexity algorithm can effectively reduce the length of a given schedule.