刚体仿真的图形划分算法

Yinchu Liu, S. Andrews
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引用次数: 1

摘要

为了提高刚体仿真的性能,我们提出了几种图形划分算法。该算法在由刚体(节点)和约束(边)组成的图上运行,产生非重叠和连续的子系统,这些子系统可以通过域分解技术并行模拟。我们证明了某些划分算法减少了求解器的计算时间,而减少子系统之间耦合的图细化技术,如Kernighan-Lin和Fiduccia-Mattheyses算法,提供了额外的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph Partitioning Algorithms for Rigid Body Simulations
We propose several graph partitioning algorithms for improving the performance of rigid body simulations. The algorithms operate on the graph formed by rigid bodies (nodes) and constraints (edges), producing non-overlapping and contiguous sub-systems that can be simulated in parallel by a domain decomposition technique. We demonstrate that certain partitioning algorithms reduce the computational time of the solver, and graph refinement techniques that reduce coupling between sub-systems, such as the Kernighan–Lin and Fiduccia–Mattheyses algorithms, give additional performance improvements.
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