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A parallel compact-TVD method for compressible fluid dynamics employing shared and distributed-memory paradigms

机译:采用共享和分布式内存范例的可压缩流体动力学并行紧凑TVD方法

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摘要

A novel multi-block compact-TVD finite difference method for the simulation of compressible flows is presented. The method combines distributed and shared-memory paradigms to take advantage of the configuration of modern supercomputers that host many cores per shared-memory node. In our approach a domain decomposition technique is applied to a compact scheme using explicit flux formulas at block interfaces. This method offers great improvement in performance over earlier parallel compact methods that rely on the parallel solution of a linear system. A test case is presented to assess the accuracy and parallel performance of the new method.
机译:提出了一种新颖的多块紧凑TVD有限差分法,用于模拟可压缩流。该方法结合了分布式和共享内存范例,以利用现代超级计算机的配置优势,该超级计算机在每个共享内存节点上托管许多内核。在我们的方法中,将域分解技术应用于在块接口处使用显式通量公式的紧凑方案。与依赖线性系统并行解决方案的早期并行紧凑方法相比,该方法在性能上有很大的提高。提出了一个测试用例,以评估新方法的准确性和并行性能。

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