GePaRDT:用于大规模并行处理数据流图的框架

Real-Time Image and Video Processing Pub Date : 2012-04-30 DOI:10.1117/12.921677

Alexander Schöch, Carlo Bach, Andreas Ettemeyer, Sabine Linz-Dittrich

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引用次数: 2

摘要

具有多个处理单元的计算机的趋势还在继续，看不到尽头。现代消费电脑配备2 - 6个处理单元。编程方法已经无法跟上这种快速的发展。在本文中，我们提出了一个使用数据流模型进行并行处理的框架:通用并行快速开发工具包，GePaRDT。这种直观的编程模型简化了许多处理单元的并发使用，而无需专门了解并行编程方法及其缺陷。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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GePaRDT: a framework for massively parallel processing of dataflow graphs

The trend towards computers with multiple processing units keeps going with no end in sight. Modern consumer computers come with 2 - 6 processing units. Programming methods have been unable to keep up with this fast development. In this paper we present a framework that uses a dataflow model for parallel processing: the Generic Parallel Rapid Development Toolkit, GePaRDT. This intuitive programming model eases the concurrent usage of many processing units without specialized knowledge about parallel programming methods and it's pitfalls.

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Real-Time Image and Video Processing

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