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High-order asynchrony-tolerant finite difference schemes for partial differential equations

机译:偏序的高阶异步容差有限差分格式   微分方程

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摘要

Synchronizations of processing elements (PEs) in massively parallelsimulations, which arise due to communication or load imbalances between PEs,significantly affect the scalability of scientific applications. We haverecently proposed a method based on finite-difference schemes to solve partialdifferential equations in an asynchronous fashion -- synchronization betweenPEs is relaxed at a mathematical level. While standard schemes can maintaintheir stability in the presence of asynchrony, their accuracy is drasticallyaffected. In this work, we present a general methodology to deriveasynchrony-tolerant (AT) finite difference schemes of arbitrary order ofaccuracy, which can maintain their accuracy when synchronizations are relaxed.We show that there are several choices available in selecting a stencil toderive these schemes and discuss their effect on numerical and computationalperformance. We provide a simple classification of schemes based on the stenciland derive schemes that are representative of different classes. Theirnumerical error is rigorously analyzed within a statistical framework to obtainthe overall accuracy of the solution. Results from numerical experiments areused to validate the performance of the schemes.
机译:由于PE之间的通信或负载不平衡而导致的大规模并行仿真中的处理元素(PE)同步,极大地影响了科学应用的可扩展性。最近,我们提出了一种基于有限差分方案的方法,以异步方式求解偏微分方程-在数学级别放松PE之间的同步。尽管标准方案可以在存在异步的情况下保持其稳定性,但其准确性会受到严重影响。在这项工作中,我们提出了一种通用方法来推导任意精度阶数的异步(AT)有限差分方案,当放松同步时可以保持其精度。我们证明了在选择模板推导这些方案时有多种选择讨论它们对数值和计算性能的影响。我们基于代表不同类别的stenciland派生方案提供了方案的简单分类。在统计框架内严格分析其数值误差,以获取解决方案的整体准确性。数值实验的结果被用于验证方案的性能。

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