加速平滑粒子流体力学使用GPU

Xiaopeng Gao, Zhiqiang Wang, Han Wan, Xiang Long
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引用次数: 8

摘要

目前,基于物理的流体模拟得到了广泛的应用;然而,传统的串行算法由于其复杂性和计算量大,无法满足实时性的要求。现代GPU的发展使这成为可能。本文在GPU上利用CUDA实现了不可压缩流体的光滑粒子流体力学(SPH)方法。由于该算法完全在GPU上执行,因此该方法可以充分利用现代图形硬件的巨大计算能力。实验结果表明,基于GPU的SPH实现在102K粒子的模拟中可以达到89帧/秒的速率,与串行算法相比,速度提高了近140倍。
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Accelerate Smoothed Particle Hydrodynamics using GPU
Physic-based fluid simulation is used extensively nowadays; however the traditional serial algorithm can't satisfy the real-time requirement due to its complexity and computeintensive. The development of modern GPU makes this possible. In this paper, a Smoothed Particle Hydrodynamics (SPH) method for incompressible fluid was implemented using CUDA on GPU. Since the algorithm was executed on the GPU entirely, the method can take full advantage of massive computational power of modern graphics hardware. The experiment results show that our GPU based SPH implementation can achieve the rate of 89 frames per second in the simulation of 102K particles and gain nearly 140× speedups compared with the serial algorithm.
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