快速边界元法

IF 7.8 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Jiong Chen, Florian Schäfer, Mathieu Desbrun
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引用次数: 0

摘要

用于求解线性椭圆偏微分方程的边界元方法(BEM)在广泛的图形应用中得到了广泛的应用:它们通过线性边界积分方程(BIE)解决域边界上的变量,从而消除了对体积网格划分的需要。然而,边界元法通常会生成密集和病态的线性系统,导致计算可扩展性差,并且对大规模问题的内存需求很大,限制了其在实践中的适用性和效率。在本文中,我们通过将基于kaporin的方法推广到不对称预处理来解决这些限制:我们以大规模并行的方式构造任意BIE矩阵的逆lu分解的稀疏近似。我们的稀疏逆lu分解,当用作广义最小残差(GMRES)方法的前置条件时,显着提高了BIE求解的效率,通常在求解时间上产生数量级的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lightning-fast Boundary Element Method
Boundary element methods (BEM) for solving linear elliptic partial differential equations have gained traction in a wide range of graphics applications: they eliminate the need for volumetric meshing by solving for variables exclusively on the domain boundary through a linear boundary integral equation (BIE). However, BEM often generate dense and ill-conditioned linear systems that lead to poor computational scalability and substantial memory demands for large-scale problems, limiting their applicability and efficiency in practice. In this paper, we address these limitations by generalizing the Kaporin-based approach to asymmetric preconditioning: we construct a sparse approximation of the inverse-LU factorization of arbitrary BIE matrices in a massively parallel manner. Our sparse inverse-LU factorization, when employed as a preconditioner for the generalized minimal residual (GMRES) method, significantly enhances the efficiency of BIE solves, often yielding orders-of-magnitude speedups in solving times.
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来源期刊
ACM Transactions on Graphics
ACM Transactions on Graphics 工程技术-计算机:软件工程
CiteScore
14.30
自引率
25.80%
发文量
193
审稿时长
12 months
期刊介绍: ACM Transactions on Graphics (TOG) is a peer-reviewed scientific journal that aims to disseminate the latest findings of note in the field of computer graphics. It has been published since 1982 by the Association for Computing Machinery. Starting in 2003, all papers accepted for presentation at the annual SIGGRAPH conference are printed in a special summer issue of the journal.
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