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Parallel FEM-DDM with BD-SGS Preconditioner for 3D Scattering by Large Inhomogeneous Objects

机译:BD-SGS预处理器的平行FEM-DDM用于3D散射的大不相同物体

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We present in this paper a flexible and efficient block diagonal symmetric Gauss-Seidel (BD-SGS) preconditioner for the hierarchical parallel FEM-DDM. In the hierarchical domain decomposition scheme, the whole FEM solution domain is first decomposed into large size subdomains with a total number equals to MPI processes. Then, each large subdomain is distributed to a MPI process and further decomposed into smaller ones to achieve good computation efficiency. Our preconditioner is based on this hierarchical parallel structure. It is specially designed to accelerate the convergence of iterative solution and reduce both the time and memory consumption of the reduced interface problems from FEM-DDM by constructing symmetric Gauss-Seidel preconditioner (SGS) for each large subdomain. Numerical examples are presented to demonstrate the efficiency, scalability, and capability of this specially designed BD-SGS preconditioner.
机译:我们在本文中展示了一个灵活且有效的块对角线对称高斯-Seidel(BD-SGS)预处理器,用于分层并行FEM-DDM。在分层域分解方案中,整个FEM解决方案域首先分解成大尺寸子域,总数等于MPI进程。然后,每个大的子域分布到MPI过程并进一步分解成更小的,以实现良好的计算效率。我们的预处理器基于此分层并行结构。它专门设计用于加速迭代解决方案的收敛,并通过为每个大子域构建对称高斯-Seidel预处理器(SGS)来减少来自FEM-DDM的减少的界面问题的时间和记忆消耗。提出了数值示例以证明该专门设计的BD-SGS预处理器的效率,可扩展性和能力。

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