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Schwarz Method with Two-Sided Transmission Conditions for the Gravity Equations on Graphics Processing Unit

机译:图形处理单元上重力方程的双向传输条件的Schwarz方法

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In this paper, we solve the gravity equations on hybrid multi-CPU/GPU using high order finite elements. Domain decomposition methods are inherently parallel algorithms making them excellent candidates for implementation on hybrid architectures. Here, we propose a new stochastic-based optimization procedure for the optimized Schwarz domain decomposition method, which is implemented and tuned to graphics processors unit. To obtain high speed-up, several implementation optimizations should be carrefully performed, such as data transfert between CPU and GPU, matrix data storage, etc. We investigate, describe and present the optimizations we have developed for finite elements analysis, leading to better efficiency. Numerical experiments carried out on a reallistic test case, namely the Chicxulub crater, demonstrates the efficiency and robustness of the proposed method on massive hybrid multi-CPU/GPU platforms.
机译:在本文中,我们使用高阶有限元求解混合型多CPU / GPU上的重力方程。域分解方法本质上是并行算法,使其成为在混合体系结构上实现的极佳候选者。在这里,我们为优化的Schwarz域分解方法提出了一种新的基于随机的优化程序,该程序已实现并调整到图形处理器单元。为了获得较高的速度,应认真执行几种实现优化,例如CPU和GPU之间的数据传输,矩阵数据存储等。我们研究,描述和介绍我们为有限元分析开发的优化,以提高效率。在一个真实的测试案例Chicxulub火山口上进行的数值实验证明了该方法在大规模混合多CPU / GPU平台上的效率和鲁棒性。

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