{"title":"连接机系统的映射与编译通信","authors":"E. Dahl","doi":"10.1109/DMCC.1990.556279","DOIUrl":null,"url":null,"abstract":"Large processing speeds may be achieved by coordinating the work of many processors in a distributed memory architecture. FOT most applications, this approach mandates the communication of data amongst the distributed memories, and the cost of this communication can offset the advantage brought by massively parallel processing. We describe an optimization strategy that addresses this problem by dramatically reducing communication costs on the Connection Machine system.","PeriodicalId":204431,"journal":{"name":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":"{\"title\":\"Mapping and Compiled Communication on the Connection Machine System\",\"authors\":\"E. Dahl\",\"doi\":\"10.1109/DMCC.1990.556279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large processing speeds may be achieved by coordinating the work of many processors in a distributed memory architecture. FOT most applications, this approach mandates the communication of data amongst the distributed memories, and the cost of this communication can offset the advantage brought by massively parallel processing. We describe an optimization strategy that addresses this problem by dramatically reducing communication costs on the Connection Machine system.\",\"PeriodicalId\":204431,\"journal\":{\"name\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"volume\":\"2014 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"61\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1990.556279\",\"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 Fifth Distributed Memory Computing Conference, 1990.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1990.556279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mapping and Compiled Communication on the Connection Machine System
Large processing speeds may be achieved by coordinating the work of many processors in a distributed memory architecture. FOT most applications, this approach mandates the communication of data amongst the distributed memories, and the cost of this communication can offset the advantage brought by massively parallel processing. We describe an optimization strategy that addresses this problem by dramatically reducing communication costs on the Connection Machine system.