{"title":"可扩展分布式内存数据流计算的语言特性","authors":"J. Wozniak, M. Wilde, Ian T Foster","doi":"10.1109/DFM.2014.17","DOIUrl":null,"url":null,"abstract":"Dataflow languages offer a natural means to express concurrency but are not a natural representation of the architectural features of high-performance, distributed-memory computers. When used as the outermost language in a hierarchical programming model, dataflow is very effective at expressing the overall flow of a computation. In this work, we present strategies and techniques used by the Swift dataflow language to obtain good performance on extremely large computing systems. We also present multiple unique language features that offer practical utility and performance enhancements.","PeriodicalId":183526,"journal":{"name":"2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale Computing","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Language Features for Scalable Distributed-Memory Dataflow Computing\",\"authors\":\"J. Wozniak, M. Wilde, Ian T Foster\",\"doi\":\"10.1109/DFM.2014.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dataflow languages offer a natural means to express concurrency but are not a natural representation of the architectural features of high-performance, distributed-memory computers. When used as the outermost language in a hierarchical programming model, dataflow is very effective at expressing the overall flow of a computation. In this work, we present strategies and techniques used by the Swift dataflow language to obtain good performance on extremely large computing systems. We also present multiple unique language features that offer practical utility and performance enhancements.\",\"PeriodicalId\":183526,\"journal\":{\"name\":\"2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale Computing\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DFM.2014.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFM.2014.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Language Features for Scalable Distributed-Memory Dataflow Computing
Dataflow languages offer a natural means to express concurrency but are not a natural representation of the architectural features of high-performance, distributed-memory computers. When used as the outermost language in a hierarchical programming model, dataflow is very effective at expressing the overall flow of a computation. In this work, we present strategies and techniques used by the Swift dataflow language to obtain good performance on extremely large computing systems. We also present multiple unique language features that offer practical utility and performance enhancements.
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