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On the Impact of Reordering in a Hierarchical Semi-Separable Compression Solver for Fractional Diffusion Problems

机译:关于分式扩散问题的分层半可分压缩解算器中重新排序的影响

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The performance of a hierarchical solver for systems of linear algebraic equations arising from finite elements (FEM) discretization of Fractional diffusion problems is the subject of this study. We consider the integral definition of Fractional Laplacian in a bounded domain, introduced through the Ritz potential. The problem is non-local and the related FEM system has a dense matrix. We utilize the Structured Matrix Package (STRUMPACK) and its implementation of a Hierarchical Semi-Separable compression in order to solve the system of linear equations. Our main aim is to improve the performance and accuracy of the method by proposing and analyzing 2 schemes for reordering of the unknowns. The numerical tests are run on the high performance cluster AVITOHOL at IICT-BAS.
机译:线性代数方程组的分层求解器的性能是由分数阶扩散问题的有限元(FEM)离散化引起的。我们考虑通过Ritz势引入的有界域中的分数阶Laplacian的积分定义。该问题是非局部的,并且相关的FEM系统具有密集矩阵。为了解决线性方程组,我们利用结构化矩阵包(STRUMPACK)及其分层半可分离压缩的实现。我们的主要目的是通过提出和分析两种未知数重排方案来提高该方法的性能和准确性。数值测试是在IICT-BAS的高性能集群AVITOHOL上进行的。

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