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首页> 外文期刊>Computer Methods in Applied Mechanics and Engineering >Massively parallel grid generation on HPC systems
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Massively parallel grid generation on HPC systems

机译:在HPC系统上大规模并行生成网格

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摘要

The automatic grid generation on high performance computers is a challenging task under the restriction of computational power and memory availability. The increasing demand for high grid resolutions to simulate complex flow configurations necessitates parallel grid generation on multicore machines with distributed memory. In this study, a new robust algorithm to automatically generate hierarchical Cartesian meshes on distributed multicore HPC systems with multiple levels of refinement is presented. The number of cells is only restricted by the number of available cores and memory. The algorithm efficiently realizes a computational domain decompositioning for an arbitrary number of cores based on a Hilbert curve. The grids are efficiently stored and accessed via a high capacity parallel I/O method. The efficiency of the approach is demonstrated by considering human nasal cavity and internal combustion engine flow problems.
机译:在计算能力和内存可用性的限制下,高性能计算机上的自动网格生成是一项艰巨的任务。对高网格分辨率以模拟复杂流配置的需求不断增长,因此需要在具有分布式内存的多核计算机上并行生成网格。在这项研究中,提出了一种新的鲁棒算法,可以在具有多个细化级别的分布式多核HPC系统上自动生成分层笛卡尔网格。单元数仅受可用内核和内存数的限制。该算法基于希尔伯特曲线,针对任意数量的核有效地实现了计算域分解。通过大容量并行I / O方法可以有效地存储和访问网格。通过考虑人鼻腔和内燃机的流动问题证明了该方法的效率。

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