Platform-independent runtime optimizations using OpenThreads

M. Haines, K. Langendoen
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引用次数: 12

Abstract

Although platform-independent runtime systems for parallel programming languages are desirable, the need for low-level optimizations usually precludes their existence. This is because most optimizations involve some combination of low-level communication and low-level threading the product of which is almost always platform-dependent. We propose a solution to the threading half of this dilemma by using a thread package, that allows fine-grain control over the behaviour of the threads while still providing performance comparable to hand-tuned, machine-dependent thread packages. This makes it possible to construct platform-independent thread modules for parallel runtime systems and, more importantly, to optimize them.
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使用OpenThreads进行与平台无关的运行时优化
尽管并行编程语言需要独立于平台的运行时系统,但由于需要低级优化,它们通常不存在。这是因为大多数优化涉及低级通信和低级线程的某种组合,其产物几乎总是依赖于平台。我们提出了一个解决方案,通过使用线程包来解决这个困境的线程部分,它允许对线程的行为进行细粒度控制,同时仍然提供与手动调优的、依赖于机器的线程包相当的性能。这使得为并行运行时系统构建与平台无关的线程模块成为可能,更重要的是,可以对它们进行优化。
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