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Tuning Up TVD HOPMOC Method on Intel MIC Xeon Phi Architectures with Intel Parallel Studio Tools

机译:使用Intel Parallel Studio工具在Intel MIC Xeon Phi架构上调优TVD HOPMOC方法

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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.
机译:本文着重研究演化微分方程数值时间积分的TVD方法方案的并行化。旨在利用沿特征线积分的概念以及空间分解的Hopscotch方法,开发出用于微分方程数值积分的Hopmoc方法。在集成步骤的实施过程中,该组网格点最初被分解为两个子集。然后,在迭代过程中对每个变量执行两次更新,一次显式更新和一个隐式更新。每个更新都需要一个集成半步骤。这是根据改进的特征方法在半拉格朗日方案中沿着特征线进行的。这项工作根据英特尔工具Parallel和Threading Advisor进行的分析,分析了两种实现TVD Hopmoc并行版本的策略。天真的解决方案被块循环策略代替,以避免主循环内的细粒度任务。

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