{"title":"基于ILP的MPSoC数据并行多任务映射/调度技术","authors":"Hoeseok Yang, S. Ha","doi":"10.1109/SOCDC.2008.4815591","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a multi-task mapping/scheduling technique for heterogeneous and scalable MPSoC. To cope with ever increasing computational demand and to utilize large number of cores effectively, the proposed technique considers data parallelism as well as task parallelism. The solution is based on ILP (Integer Linear Programming) and its effectiveness is proven by experiments with real-life examples.","PeriodicalId":405078,"journal":{"name":"2008 International SoC Design Conference","volume":"206 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"52","resultStr":"{\"title\":\"ILP based data parallel multi-task mapping/scheduling technique for MPSoC\",\"authors\":\"Hoeseok Yang, S. Ha\",\"doi\":\"10.1109/SOCDC.2008.4815591\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a multi-task mapping/scheduling technique for heterogeneous and scalable MPSoC. To cope with ever increasing computational demand and to utilize large number of cores effectively, the proposed technique considers data parallelism as well as task parallelism. The solution is based on ILP (Integer Linear Programming) and its effectiveness is proven by experiments with real-life examples.\",\"PeriodicalId\":405078,\"journal\":{\"name\":\"2008 International SoC Design Conference\",\"volume\":\"206 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"52\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International SoC Design Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCDC.2008.4815591\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International SoC Design Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCDC.2008.4815591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ILP based data parallel multi-task mapping/scheduling technique for MPSoC
In this paper, we propose a multi-task mapping/scheduling technique for heterogeneous and scalable MPSoC. To cope with ever increasing computational demand and to utilize large number of cores effectively, the proposed technique considers data parallelism as well as task parallelism. The solution is based on ILP (Integer Linear Programming) and its effectiveness is proven by experiments with real-life examples.