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Scalable implementation of the parallel multigrid method on massively parallel computers

机译:大规模并行计算机上并行多网格方法的可扩展实现

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We consider a scalable implementation of multigrid methods for elliptic problems for fusion simulations on current and future high performance computer (HPC) architectures. Multigrid methods are the most efficient available solvers for elliptic problems. But, these methods require to handle the operations on several coarser levels where the communication costs are higher than the computation costs. We use only one core from a certain coarser level and get performance improvements on a large number of cores. Also, we consider the OpenMP/MPI hybridization implementation which is fitted on multi-core CPU architectures. The hybridization can use a small number of MPI tasks on the same number of cores and achieve performance improvements on a large number of cores. We investigate the scaling properties of the parallel multigrid solver with structured discretization on a regular hexagonal domain on a massively parallel computer (IFERC-CSC). (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们考虑针对椭圆问题的多网格方法的可扩展实现,以在当前和将来的高性能计算机(HPC)体系结构上进行融合仿真。多重网格方法是解决椭圆问题的最有效方法。但是,这些方法需要在通信成本高于计算成本的几个更粗糙的级别上处理操作。我们仅使用某个特定级别的内核,并在大量内核上获得了性能改进。另外,我们考虑了适用于多核CPU架构的OpenMP / MPI混合实现。混合可以在相同数量的核心上使用少量MPI任务,并在大量核心上实现性能提升。我们在大规模并行计算机(IFERC-CSC)上的规则六边形域上研究具有结构化离散化的并行多网格求解器的缩放特性。 (C)2015 Elsevier Ltd.保留所有权利。

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