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Scalable Deformation of Unstructured Computational Meshes

机译:非结构化计算网格的可扩展变形

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Mesh deformation is a required component for many computational analyses of transient dynamic systems. Elliptic Smoothing has proven to be a promising mesh manipulation technique. Likewise, mesh deformation algorithms based on radial basis function volume interpolation methods have also proven to be effective. Regardless of the underlying algorithm, unstructured mesh smoothing in three dimensions is a computationally intensive process that requires execution on multiple processors to be effective for most problems of practical interest. Additionally, for large problems, the entire computational mesh does not typically exist on a single processor, which requires the smoothing to be distributed along with the mesh. The focus of this paper is to explore methods for increasing scalability to the mesh smoothing process by making the process distributive across multiple computer processors.
机译:网格变形是瞬态动力系统的许多计算分析所必需的组成部分。椭圆平滑已被证明是一种很有前途的网格处理技术。同样,基于径向基函数体积插值方法的网格变形算法也被证明是有效的。不管基础算法如何,三维非结构化网格平滑都是一个计算量大的过程,需要在多个处理器上执行才能有效解决大多数实际问题。另外,对于大问题,整个计算网格通常不存在于单个处理器上,这要求将平滑处理与网格一起分配。本文的重点是探索通过使过程分布在多个计算机处理器上来增加网格平滑过程的可伸缩性的方法。

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