{"title":"流应用在多核处理器上的高效并行执行","authors":"T. Schüle","doi":"10.1109/PDP.2011.48","DOIUrl":null,"url":null,"abstract":"We propose a method for the parallel execution of applications that process continuous streams of data. Unlike pipeline-based approaches, which are frequently employed to parallelize software for multi-core processors, our method supports nonlinear structures that may contain conditionals. Nonlinear structures reduce the latency for processing an element from a stream, which is particularly important for embedded systems that are subject to real-time constraints.","PeriodicalId":341803,"journal":{"name":"2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Efficient Parallel Execution of Streaming Applications on Multi-core Processors\",\"authors\":\"T. Schüle\",\"doi\":\"10.1109/PDP.2011.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a method for the parallel execution of applications that process continuous streams of data. Unlike pipeline-based approaches, which are frequently employed to parallelize software for multi-core processors, our method supports nonlinear structures that may contain conditionals. Nonlinear structures reduce the latency for processing an element from a stream, which is particularly important for embedded systems that are subject to real-time constraints.\",\"PeriodicalId\":341803,\"journal\":{\"name\":\"2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDP.2011.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP.2011.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Parallel Execution of Streaming Applications on Multi-core Processors
We propose a method for the parallel execution of applications that process continuous streams of data. Unlike pipeline-based approaches, which are frequently employed to parallelize software for multi-core processors, our method supports nonlinear structures that may contain conditionals. Nonlinear structures reduce the latency for processing an element from a stream, which is particularly important for embedded systems that are subject to real-time constraints.