{"title":"Sequential specification of time-aware stream processing applications (Extended abstract)","authors":"Stefan J. Geuns, J. Hausmans, M. Bekooij","doi":"10.1145/2435227.2435231","DOIUrl":null,"url":null,"abstract":"Stream processing applications, and in particular Software Defined Radio applications, are typically executed on multi-core systems. Such applications often have real-time throughput constraints. Automatic parallelization of Nested Loop Programs (NLPs) is an attractive method to create embedded real-time stream processing applications for multi-core systems [1]. However, the description and parallelization of applications with a time dependent functional behavior has not been considered for NLPs. In such a description, semantic information about time dependent behavior must be made available for the compiler, such that an optimized time independent implementation can be generated automatically.","PeriodicalId":431615,"journal":{"name":"2012 IEEE 10th Symposium on Embedded Systems for Real-time Multimedia","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 10th Symposium on Embedded Systems for Real-time Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2435227.2435231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Stream processing applications, and in particular Software Defined Radio applications, are typically executed on multi-core systems. Such applications often have real-time throughput constraints. Automatic parallelization of Nested Loop Programs (NLPs) is an attractive method to create embedded real-time stream processing applications for multi-core systems [1]. However, the description and parallelization of applications with a time dependent functional behavior has not been considered for NLPs. In such a description, semantic information about time dependent behavior must be made available for the compiler, such that an optimized time independent implementation can be generated automatically.
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