高效流体模拟

P. Gac, Emmanuelle Darles, P. Louis, L. Aveneau
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引用次数: 0

摘要

流体模拟基于Navier-Stokes方程。高效的仿真代码可能依赖于光滑粒子流体动力学工具箱(SPH),这是一种使用核密度估计的方法。为了优化仿真,人们提出了许多SPH的变体,如隐式不可压缩SPH (IISPH)或预测校正不可压缩SPH (PC-ISPH)。本章回顾了SPH的制定,并重点介绍了使用Nvidia通用统一设备架构(CUDA)的有效并行实现,而消息传递接口(MPI)是另一种选择。有效实现的关键是专用的加速结构,因此详细介绍了一些精心选择的并行设计模式。使用海洋的粗略模型,这种模拟可以直接用于模拟由水下地震引起的海啸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Simulation of Fluids
Fluid simulation is based on Navier-Stokes equations. Efficient simulation codes may rely on the smooth particle hydrodynamic toolbox (SPH), a method that uses kernel density estimation. Many variants of SPH have been proposed to optimize the simulation, like implicit incompressible SPH (IISPH) or predictive-corrective incompressible SPH (PC-ISPH). This chapter recalls the formulation of SPH and focuses on its effective parallel implementation using the Nvidia common unified device architecture (CUDA), while message passing interface (MPI) is another option. The key to effective implementation is a dedicated accelerating structure, and therefore some well-chosen parallel design patterns are detailed. Using a rough model of the ocean, this type of simulation can be used directly to simulate a tsunami resulting from an underwater earthquake.
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