GPU上的无网格表面跟踪

N. Chentanez, Matthias Müller, M. Macklin, Tae-Yong Kim
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引用次数: 1

摘要

我们提出了第一个完全在GPU上运行的基于网格的表面跟踪器。表面跟踪器是完全无网格和快速,这使得它适合在一个大的,无界的领域使用。处理拓扑变化的关键思想是检测和删除重叠的三角形以及位于体积内的三角形。然后以一种坚固而有效的方式连接或关闭孔。通过网格改进算法保持良好的网格质量。在本文中,我们描述了如何将所有这些步骤并行化以在GPU上高效运行。表面跟踪器保证生成无边界的流形网格。结果表明,该方法在欧拉和拉格朗日液体模拟中均具有良好的质量和效率。我们的并行实现运行速度比CPU版本快一个数量级以上。
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Grid-Free Surface Tracking on the GPU
We present the first mesh-based surface tracker that runs entirely on the GPU. The surface tracker is both completely grid-free and fast which makes it suitable for the use in a large, unbounded domain. The key idea for handling topological changes is to detect and delete overlapping triangles as well as triangles that lie inside the volume. The holes are then joined or closed in a robust and efficient manner. Good mesh quality is maintained by a mesh improvement algorithm. In this paper we describe how all these steps can be parallelized to run efficiently on a GPU. The surface tracker is guaranteed to produce a manifold mesh without boundary. Our results show the quality and efficiency of the method in both Eulerian and Lagrangian liquid simulations. Our parallel implementation runs more than an order of magnitude faster than the CPU version.
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