{"title":"超立方体系统中基于图的子多维数据集分配和任务迁移","authors":"O. Kang, B.M. Kim, H. Yoon, S. Maeng, J. Cho","doi":"10.1109/FMPC.1992.234931","DOIUrl":null,"url":null,"abstract":"The authors propose a task migration scheme based on the HSA (heuristic subcube allocation) strategy to solve the fragmentation problem in a hypercube. This scheme, called CSC (complementary subcube coalescence), uses a heuristic and an undirected graph, called the SC (subcube) graph. If an incoming request is not satisfied due to the system fragmentation, the task migration scheme is performed to generate higher dimension subcubes. Simulation results show that the HSA strategy gives better efficiency than the Buddy and GC strategies in the adaptive mode. Moreover, the HSA strategy has a significantly lower migration cost than that of the Buddy and GC strategies.<<ETX>>","PeriodicalId":117789,"journal":{"name":"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","volume":"2353 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A graph-based subcube allocation and task migration in hypercube systems\",\"authors\":\"O. Kang, B.M. Kim, H. Yoon, S. Maeng, J. Cho\",\"doi\":\"10.1109/FMPC.1992.234931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors propose a task migration scheme based on the HSA (heuristic subcube allocation) strategy to solve the fragmentation problem in a hypercube. This scheme, called CSC (complementary subcube coalescence), uses a heuristic and an undirected graph, called the SC (subcube) graph. If an incoming request is not satisfied due to the system fragmentation, the task migration scheme is performed to generate higher dimension subcubes. Simulation results show that the HSA strategy gives better efficiency than the Buddy and GC strategies in the adaptive mode. Moreover, the HSA strategy has a significantly lower migration cost than that of the Buddy and GC strategies.<<ETX>>\",\"PeriodicalId\":117789,\"journal\":{\"name\":\"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation\",\"volume\":\"2353 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FMPC.1992.234931\",\"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 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMPC.1992.234931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A graph-based subcube allocation and task migration in hypercube systems
The authors propose a task migration scheme based on the HSA (heuristic subcube allocation) strategy to solve the fragmentation problem in a hypercube. This scheme, called CSC (complementary subcube coalescence), uses a heuristic and an undirected graph, called the SC (subcube) graph. If an incoming request is not satisfied due to the system fragmentation, the task migration scheme is performed to generate higher dimension subcubes. Simulation results show that the HSA strategy gives better efficiency than the Buddy and GC strategies in the adaptive mode. Moreover, the HSA strategy has a significantly lower migration cost than that of the Buddy and GC strategies.<>