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Large-scale Parallel Magnetic Analysis using Hierarchical Domain Decomposition. Tool with Refine Function

机译:使用分层域分解进行大规模并联磁分析。具有细化功能的工具

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This paper deals with a large-scale 3D magnetostatic analysis using the Hierarchical Domain Decomposition Method (HDDM). To reduce time of generating large- or huge-scale meshes, the Refine tool that generates large- or huge-scale mesh from small- or medium-scale one in various parallel environments is considered. This parallelized Refine tool is embedded in hierarchical domain decomposition tool. As a result, time of generating mesh reduces drastically and huge-scale tetrahedral element mesh with 2 billion elements is successfully made in about 27 minutes with 4,096 cores (256 nodes) on the T2K Open Supercomputer. Furthermore, we confirm that a linear magnetostatic problem with 2.2 billion degrees of freedom is solved in about 4 hours on the T2K Open Supercomputer (256 nodes, 4,096 cores).
机译:本文涉及使用分层域分解方法(HDDM)的大规模3D磁静态分析。为了减少生成大规模或大规模网格的时间,考虑了从各种并行环境中的小型或中等级别产生大型或大规模网格的细化工具。该平行化精细工具嵌入在分层域分解工具中。结果,在T2K打开超级计算机上的4,096个核心(256个节点),在大约27分钟内成功制作了大约27分钟的大规模元件的发电时间和大规模的四面体元素网。此外,我们确认在T2K打开超级计算机(256个节点,4,096个核心)上约4小时内解决了22亿自由度的线性磁化问题。

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