{"title":"ATM网络并行计算中的通信问题","authors":"Chengchang Huang, P. McKinley","doi":"10.1109/88.345959","DOIUrl":null,"url":null,"abstract":"To support distributed parallel computing across asynchronous transfer mode networks, the interplay between communications software and the network architecture is critical. In particular, we can improve communication performance significantly by efficiently designing collective communication operations, such as multicast and reduction.<<ETX>>","PeriodicalId":325213,"journal":{"name":"IEEE Parallel & Distributed Technology: Systems & Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"64","resultStr":"{\"title\":\"Communication issues in parallel computing across ATM networks\",\"authors\":\"Chengchang Huang, P. McKinley\",\"doi\":\"10.1109/88.345959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To support distributed parallel computing across asynchronous transfer mode networks, the interplay between communications software and the network architecture is critical. In particular, we can improve communication performance significantly by efficiently designing collective communication operations, such as multicast and reduction.<<ETX>>\",\"PeriodicalId\":325213,\"journal\":{\"name\":\"IEEE Parallel & Distributed Technology: Systems & Applications\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"64\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Parallel & Distributed Technology: Systems & Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/88.345959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Parallel & Distributed Technology: Systems & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/88.345959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communication issues in parallel computing across ATM networks
To support distributed parallel computing across asynchronous transfer mode networks, the interplay between communications software and the network architecture is critical. In particular, we can improve communication performance significantly by efficiently designing collective communication operations, such as multicast and reduction.<>
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