四面体有限元电磁学并行三维网格细化的优化动态负载平衡方法

D. Ren, D. Giannacopoulos, R. Suda
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引用次数: 2

摘要

在研究四面体电磁学有限元特性的基础上,提出了一种新的动态负载平衡(DLB)并行、自适应、三维网格细化的自动性能调整方法。在现有DLB算法的基础上,优化了多处理器并行架构中各处理元素的任务池位置和初始数据分配。为了实现我们的方法,我们将该算法应用于并行三维分层四面体和八面体(HTO)网格细化的实现中。通过将新方法的性能指标与其他两种DLB算法在相同HTO实例几何网格细化模型和相同并行架构下的性能结果进行比较,证明了新方法在实现高性能并行网格细化方面的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An optimized Dynamic Load Balancing method for parallel 3-D mesh refinement for finite element electromagnetics with Tetrahedra
A new Dynamic Load Balancing (DLB) method for automatic performance tuning in parallel, adaptive, 3-D mesh refinement is developed based on study of characteristics of Finite Element Method (FEM) on electromagnetics with tetrahedra. On the top of existing DLB algorithms, the new design optimized the task pool location of each processing element (PE) and the initial data assignments in multiprocessor parallel architecture. To accomplish our method, we investigate it by applying the algorithm in implementations of parallel 3-D Hierarchical Tetrahedra and Octahedra (HTO) mesh refinement. By comparing the benchmark results derived from the performance measures of the new method with the performance results from other two existing DLB algorithms running the same HTO example geometric mesh refinement model and on the same parallel architecture, the benefits of the new method for achieving high performance parallel mesh refinement are demonstrated.
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