{"title":"扩展超立方体多处理器中的处理器分配","authors":"Sumeet Ahuja, A. Sarje","doi":"10.1142/S0129053395000269","DOIUrl":null,"url":null,"abstract":"Processor allocation is an important issue for efficient utilization of a multiprocessor system. Several well-known methods exist for processor allocation in the hypercube multiprocessor. Some disadvantages of the hypercube structure have been overcome in the Extended Hypercube. The paper attempts at showing how the processor allocation schemes of hypercube can be extended to the Extended Hypercube structure. Results of a simulation study are also provided.","PeriodicalId":270006,"journal":{"name":"Int. J. High Speed Comput.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Processor Allocation in Extended Hypercube Multiprocessor\",\"authors\":\"Sumeet Ahuja, A. Sarje\",\"doi\":\"10.1142/S0129053395000269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Processor allocation is an important issue for efficient utilization of a multiprocessor system. Several well-known methods exist for processor allocation in the hypercube multiprocessor. Some disadvantages of the hypercube structure have been overcome in the Extended Hypercube. The paper attempts at showing how the processor allocation schemes of hypercube can be extended to the Extended Hypercube structure. Results of a simulation study are also provided.\",\"PeriodicalId\":270006,\"journal\":{\"name\":\"Int. J. High Speed Comput.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. High Speed Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0129053395000269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. High Speed Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0129053395000269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Processor Allocation in Extended Hypercube Multiprocessor
Processor allocation is an important issue for efficient utilization of a multiprocessor system. Several well-known methods exist for processor allocation in the hypercube multiprocessor. Some disadvantages of the hypercube structure have been overcome in the Extended Hypercube. The paper attempts at showing how the processor allocation schemes of hypercube can be extended to the Extended Hypercube structure. Results of a simulation study are also provided.