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Advances in Parallelization For Large Scale Oct-Tree Mesh Generation

机译:大规模八叉树网格生成并行化的进展

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Despite great advancements in the parallelization of numerical simulation codes over the last 20 years, it is still common to perform grid generation in serial. Generating large scale grids in serial often requires using special "grid generation" compute machines that can have more than ten times the memory of average machines. While some parallel mesh generation techniques have been proposed, generating very large meshes for LES or aeroacoustic simulations is still a challenging problem. An automated method for the parallel generation of very large scale off-body hierarchical meshes is presented here. This work enables large scale parallel generation of off-body meshes by using a novel combination of parallel grid generation techniques and a hybrid "top down" and "bottom up" oct-tree method. Meshes are generated using hardware commonly found in parallel compute clusters. The capability to generate very large meshes is demonstrated by the generation of off-body meshes surrounding complex aerospace geometries. Results are shown including a one billion cell mesh generated around a Predator Unmanned Aerial Vehicle geometry, which was generated on 64 processors in under 45 minutes.
机译:尽管在过去的20年中数字仿真代码的并行化取得了长足的进步,但串行执行网格生成仍然很普遍。串行生成大型网格通常需要使用特殊的“网格生成”计算机,其内存可能是普通计算机的十倍以上。尽管已经提出了一些并行的网格生成技术,但是为LES或航空声学仿真生成非常大的网格仍然是一个具有挑战性的问题。这里介绍了一种自动生成超大规模体外分层网格的自动方法。通过使用并行网格生成技术的新颖组合以及混合的“自上而下”和“自下而上”的八叉树方法,这项工作可以实现体网格的大规模并行生成。网格是使用并行计算集群中常见的硬件生成的。生成围绕复杂航空几何体的体外网格体证明了生成非常大的网格体的能力。显示的结果包括围绕捕食者无人飞行器几何图形生成的十亿个单元网格,该网格在45分钟内在64个处理器上生成。

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