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首页> 外文期刊>Journal of Advanced Simulation in Science and Engineering >Hierarchical Domain Decomposition Method for Devices including Moving Bodies
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Hierarchical Domain Decomposition Method for Devices including Moving Bodies

机译:包含移动体的设备的分层域分解方法

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This paper deals with three-dimensional non-steady eddy current analysis of a rotating machine as an example of a parallel finite element analysis including moving bodies. In general, high efficiency in parallel computing with a moving body is difficult to achieve. The hierarchical domain decomposition method (HDDM) is known as an efficient parallel finite element method. However, in cases that involve a moving body, the HDDM with static domain decomposition has not attained sufficient parallel efficiency. Moreover, the cost of dynamic domain decomposition is substantial. In this paper, we propose a new domain decomposition technique for the HDDM that enables us to achieve efficient scalability on massively parallel computers. Our method's parallel efficiency has been 93.3% on 96 computer nodes (1,536 cores) of the Oakleaf-FX supercomputer. Furthermore, an induction motor model with a seven million degrees of freedom mesh whose solution by conventional sequential computation requires more than a month has been successfully solved in approximately 1.60 hours using the proposed method.
机译:本文以旋转机械的三维非定常涡流分析为例,对包含运动物体的平行有限元分析进行了分析。通常,难以实现与移动体的并行计算的高效率。分层域分解方法(HDDM)被称为有效的并行有限元方法。但是,在涉及移动物体的情况下,具有静态域分解的HDDM尚未达到足够的并行效率。而且,动态域分解的成本是巨大的。在本文中,我们为HDDM提出了一种新的域分解技术,该技术使我们能够在大规模并行计算机上实现有效的可伸缩性。在Oakleaf-FX超级计算机的96个计算机节点(1,536个内核)上,我们方法的并行效率为93.3%。此外,使用所提出的方法,已经在大约1.60小时内成功解决了具有700万自由度网格的感应电动机模型,该模型通过常规顺序计算的求解需要一个多月的时间。

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