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Multigrid using Adaptive Unstructured Meshes for Massively Parallel Computation

机译:使用自适应非结构​​化网格的多基体进行大规模并行计算

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This paper presents research to make massively parallel computations efficient for up to 8192 cores using unstructured meshes. While most massively parallel computations are performed subject to algorithmic constraints such as regular or structured grids it is less common to see massively parallel computation with adaptive unstructured meshes. Here the parallelization of the main components used to realize very large simulations of upto 10 billions of unknowns is presented using a muligrid method over unstructured mesh. First the strategy used to generate the computational meshes used during the multigrid resolution of a large linear systems is presented. Then the computation of the interpolation or restriction operators is considered. Finally some parallel performance indicators of the multigrid method for solving Stokes equation on a large range of cores from 1 to 8192 cores is presented. These indicators were from simulations completed on one the French national super computers Curie. In the last section a calculation completed on our own cluster using only 128 cores, is presented. This represents well, what has to be realized at a larger scale. It goes from reality to virtual, the micro structure used in the computation is a real one and it is used in our simulation, for doing that all the calculation.
机译:本文介绍了使用非结构化网格对高达8192个核心的大规模平行计算。虽然大多数巨大的并行计算经受诸如规则或结构的网格的算法约束来执行诸如常规或结构化网格,但是看到具有自适应非结构​​化网格的大规模并行计算。这里,使用Muligrid方法在非结构化网格上呈现用于实现高达10数十亿未知数的非常大的模拟的主要组件的并行化。首先,呈现了用于生成在大线性系统的多个线性系统的多重线路分辨率期间使用的计算网格的策略。然后考虑内插或限制运算符的计算。最后,介绍了一些来自1至8192核的大范围内核心求解Stokes方程的多重功能的一些并行性能指示。这些指标来自模拟,在法国国民超级计算机居里完成。在最后一节中,呈现了仅使用128个核心的群集完成的计算。这效果很好,必须以更大的规模实现的。它从现实到虚拟,计算中使用的微结构是真实的结构,它在我们的模拟中使用,以便执行所有计算。

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