集成任务和数据并行性的方法

IEEE Concurr. Pub Date : 1998-07-01 DOI:10.1109/4434.708258

H. Bal, M. Haines

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引用次数: 118

摘要

支持任务和数据并行的语言非常通用，可以在单个应用程序中利用这两种形式的并行性。然而，在编程模型中清晰地集成两种形式的并行性是很困难的。作者描述了四个尝试这种集成的编程系统:Fx、Opus、数据并行Orca和Braid。

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Approaches for integrating task and data parallelism

Languages that support task and data parallelism are highly general and can exploit both forms of parallelism in a single application. However, cleanly integrating the two forms of parallelism in a programming model is difficult. The authors describe four programming systems that attempt such an integration: Fx, Opus, data-parallel Orca, and Braid.

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IEEE Concurr.

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