利用Intel Parallel Studio工具在Intel MIC Xeon Phi架构上调优TVD HOPMOC方法

F. L. Cabral, Carla Osthoff, Gabriel P. Costa, Diego N. Brandão, M. Kischinhevsky, S. L. G. D. Oliveira
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引用次数: 9

摘要

研究了演化微分方程数值时间积分TVD方法的并行化问题。微分方程数值积分的Hopmoc方法是为了借鉴特征线积分的概念和空间分解的Hopscotch方法而发展起来的。在积分步骤的实现过程中,将网格点集初始分解为两个子集。然后,在迭代过程中对每个变量执行两次更新,一次显式更新,一次隐式更新。每次更新都需要一个集成半步骤。这是在基于修正特征法的半拉格朗日格式中沿着特征线进行的。本文在分析英特尔并行和线程顾问等工具的基础上,分析了实现并行版TVD Hopmoc的两种策略。一个简单的解决方案被块循环策略所取代,以避免在主循环中执行细粒度任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tuning Up TVD HOPMOC Method on Intel MIC Xeon Phi Architectures with Intel Parallel Studio Tools
This paper focuses on the parallelization of TVD Method scheme for numerical time integration of evolutionary differential equations. The Hopmoc method for numerical integration of differential equations was developed aiming at benefiting from both the concept of integration along characteristic lines as well as from the spatially decomposed Hopscotch method. The set of grid points is initially decomposed into two subsets during the implementation of the integration step. Then, two updates are performed, one explicit and one implicit, on each variable in the course of the iterative process. Each update requires an integration semi step. This is carried out along characteristic lines in a Semi-Lagrangian scheme based on the Modified Method of Characteristics. This work analises two strategies to implement the parallel version of TVD Hopmoc based on the analysis performed by Intel Tools such Parallel and Threading Advisor. A naive solution is substituted by a chunk loop strategy in order to avoid fine-grain tasks inside main loops.
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