{"title":"多核架构下数据并行任务调度的遗传算法","authors":"Yang Liu, Lin Meng, H. Tomiyama","doi":"10.2197/ipsjtsldm.12.74","DOIUrl":null,"url":null,"abstract":": This paper proposes a genetic algorithm for scheduling of multiple data-parallel tasks on multicores. Un- like traditional task scheduling, this work allows individual tasks to run on multiple cores in a data-parallel fashion. Experimental results show the e ff ectiveness of the proposed algorithm over state-of-the-art","PeriodicalId":38964,"journal":{"name":"IPSJ Transactions on System LSI Design Methodology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Genetic Algorithm for Scheduling of Data-parallel Tasks on Multicore Architectures\",\"authors\":\"Yang Liu, Lin Meng, H. Tomiyama\",\"doi\":\"10.2197/ipsjtsldm.12.74\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": This paper proposes a genetic algorithm for scheduling of multiple data-parallel tasks on multicores. Un- like traditional task scheduling, this work allows individual tasks to run on multiple cores in a data-parallel fashion. Experimental results show the e ff ectiveness of the proposed algorithm over state-of-the-art\",\"PeriodicalId\":38964,\"journal\":{\"name\":\"IPSJ Transactions on System LSI Design Methodology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IPSJ Transactions on System LSI Design Methodology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2197/ipsjtsldm.12.74\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IPSJ Transactions on System LSI Design Methodology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2197/ipsjtsldm.12.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
A Genetic Algorithm for Scheduling of Data-parallel Tasks on Multicore Architectures
: This paper proposes a genetic algorithm for scheduling of multiple data-parallel tasks on multicores. Un- like traditional task scheduling, this work allows individual tasks to run on multiple cores in a data-parallel fashion. Experimental results show the e ff ectiveness of the proposed algorithm over state-of-the-art