Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence

Michael A. Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, M. Garland, A. Aiken
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Abstract

Implicitly parallel programming systems must solve the joint problems of dependence analysis and coherence to ensure apparently-sequential semantics for applications run on distributed memory machines. Solving these problems in the presence of data-dependent control flow and arbitrary aliasing is a challenge that most existing systems eschew by compromising the expressivity of their programming models and/or the performance of their implementations. We demonstrate a general class of solutions to these problems via a reduction to the visibility problem from computer graphics.
动态依赖分析和分布式相干的可见性算法
隐式并行编程系统必须解决相关性分析和一致性的联合问题,以确保在分布式内存机器上运行的应用程序具有明显的顺序语义。在存在数据依赖的控制流和任意混叠的情况下解决这些问题是一个挑战,大多数现有系统通过牺牲其编程模型的表现力和/或其实现的性能来回避这些问题。我们通过简化计算机图形学的可见性问题来展示这些问题的一般解决方案。
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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