A stream-computing extension to OpenMP

Antoniu Pop, Albert Cohen
{"title":"A stream-computing extension to OpenMP","authors":"Antoniu Pop, Albert Cohen","doi":"10.1145/1944862.1944867","DOIUrl":null,"url":null,"abstract":"This paper introduces an extension to OpenMP3.0 enabling stream programming with minimal, incremental additions that seamlessly integrate into the current specification. The stream programming model decomposes programs into tasks and explicits the flow of data among them, thus exposing data, task and pipeline parallelism. It helps the programmers to express concurrency and data locality properties, avoiding non-portable low-level code and early optimizations. We survey the diverse motivations and constraints converging towards the design of our simple yet powerful language extension, and we present experimental results of a prototype implementation in a public branch of GCC 4.5.","PeriodicalId":394008,"journal":{"name":"International Conference on High Performance Embedded Architectures and Compilers","volume":"321 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"66","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on High Performance Embedded Architectures and Compilers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1944862.1944867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 66

Abstract

This paper introduces an extension to OpenMP3.0 enabling stream programming with minimal, incremental additions that seamlessly integrate into the current specification. The stream programming model decomposes programs into tasks and explicits the flow of data among them, thus exposing data, task and pipeline parallelism. It helps the programmers to express concurrency and data locality properties, avoiding non-portable low-level code and early optimizations. We survey the diverse motivations and constraints converging towards the design of our simple yet powerful language extension, and we present experimental results of a prototype implementation in a public branch of GCC 4.5.
OpenMP的流计算扩展
本文介绍了OpenMP3.0的扩展,通过最小的增量添加实现流编程,并无缝集成到当前规范中。流编程模型将程序分解为任务,并显式显示任务之间的数据流,从而暴露数据、任务和管道的并行性。它帮助程序员表达并发性和数据局域性属性,避免不可移植的低级代码和早期优化。我们调查了设计简单而强大的语言扩展的各种动机和约束,并在GCC 4.5的公共分支中展示了原型实现的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书