Fast Eulerian Fluid Simulation In Games Using Poisson Filters

A. Rabbani, Soufiane Khiat
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Abstract

We present separable Poisson filters to accelerate the projection step in Eulerian fluid simulation. These filters are analytically computed offline and are easy to integrate into any fluid algorithm with a Poisson pressure computation step. We take advantage of the recursive structure of the Jacobi method to construct and then reduce a kernel that is used to solve the Poisson pressure entirely on GPU. Our method demonstrates promising speedups that scale well with both the grid resolution and the target Jacobi iteration. CCS Concepts • Computing methodologies → Physical simulation;
游戏中使用泊松滤波器的快速欧拉流体模拟
提出了可分离泊松滤波器来加速欧拉流体模拟中的投影步长。这些过滤器可以离线解析计算,并且易于集成到任何具有泊松压力计算步骤的流体算法中。我们利用Jacobi方法的递归结构构造并简化了一个核,该核完全用于在GPU上求解泊松压力。我们的方法证明了有希望的加速,在网格分辨率和目标雅可比迭代中都能很好地扩展。•计算方法→物理模拟;
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