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A Memory and Computation Efficient Sparse Level-Set Method

机译:内存和计算有效的稀疏水平集方法

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摘要

Since its introduction, the level set method has become the favorite technique for capturing and tracking moving interfaces, and found applications in a wide variety of scientific fields. In this paper we present efficient data structures and algorithms for tracking dynamic interfaces through the level set method. Several approaches which address both computational and memory requirements have been very recently introduced. We show that our method is up to 8.5 times faster than these recent approaches. More importantly, our algorithm can greatly benefit from both fine- and coarse-grain parallelization by leveraging SIMD and/or multi-core parallel architectures.
机译:自引入以来,水平集方法已成为捕获和跟踪移动界面的最受欢迎的技术,并在广泛的科学领域中得到了应用。在本文中,我们介绍了通过级别集方法跟踪动态接口的有效数据结构和算法。最近已经引入了几种解决计算和存储需求的方法。我们表明,我们的方法比这些最新方法快8.5倍。更重要的是,通过利用SIMD和/或多核并行体系结构,我们的算法可以从细粒度并行化和粗粒度并行化中大大受益。

著录项

  • 来源
    《Journal of Scientific Computing》 |2011年第2期|p.243-264|共22页
  • 作者单位

    Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, P.O. Box 407,9700 AK Groningen, The Netherlands;

    rnDepartment of Mathematics and Computer Science, Eindhoven University of Technology, P.O. Box 513,5600 MB Eindhoven, The Netherlands;

    rnJohann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, P.O. Box 407,9700 AK Groningen, The Netherlands;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    level sets; sparse-grid method; tile management;

    机译:水平集;稀疏网格法;瓷砖管理;

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