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Accelerated redistancing for level set-based process simulations with the fast iterative method

机译:使用快速迭代方法加快基于级别集的过程仿真的重新分配

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The finite iterative method is compared to an industry-hardened fast marching method for accelerating the redistancing step essential for Level Set-based process simulations in the area of technology computer-aided design. We discuss our implementation of the finite iterative method and depict extensions to improve the method for process simulations, in particular regarding stability. Contrary to previously published work, we investigate real-world structures with varying resolutions, originating from the area of process simulation. The serial execution performance as well as error norms are used to compare our approach with an industry-hardened fast marching method implementation. Parallel scalability is discussed based on a shared-memory OpenMP implementation. We show that our approach of the finite iterative method is an excellent candidate for accelerating Level Set-based process simulations, as it offers considerable performance gains both in serial and parallel execution mode, albeit being inferior with respect to accuracy.
机译:将有限迭代方法与行业强化的快速行进方法进行了比较,该方法用于加速技术计算机辅助设计领域中基于Level Set的过程仿真所必需的重新分配步骤。我们讨论了有限迭代方法的实现,并描述了扩展以改进过程仿真的方法,特别是在稳定性方面。与先前发表的工作相反,我们研究来自过程仿真领域的具有不同分辨率的现实世界结构。串行执行性能以及错误规范用于将我们的方法与经过行业强化的快速行进方法实现进行比较。讨论了基于共享内存OpenMP实现的并行可伸缩性。我们证明了我们的有限迭代方法是加速基于Level Set的过程仿真的极佳选择,因为它在串行和并行执行模式下均提供了可观的性能提升,尽管其准确性较差。

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