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Accelerate Smoothed Particle Hydrodynamics using GPU

Xiaopeng Gao, Zhiqiang Wang, Han Wan, Xiang Long
State Key Laboratory of Virtual Reality Technology and System, School of Computer Science and Engineering, Beihang University, 100191, Beijing, China
IEEE Youth Conference on Information Computing and Telecommunications (YC-ICT), 2010

@conference{gao2010accelerate,

   title={Accelerate Smoothed Particle Hydrodynamics using GPU},

   author={Gao, X. and Wang, Z. and Wan, H. and Long, X.},

   booktitle={Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on},

   pages={399–402},

   organization={IEEE}

}

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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 140x speedups compared with the serial algorithm.
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