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Toward efficient GPU-accelerated N-body simulations

Mark J. Stock, Adrin Gharakhani
Applied Scientific Research, Santa Ana, California
46th AIAA Aerospace Sciences Meeting, 7-10 January 2008, Reno, NV

@article{stock2008toward,

   title={Toward efficient GPU-accelerated N-body simulations},

   author={Stock, M.J. and Gharakhani, A.},

   journal={AIAA paper},

   volume={608},

   pages={7–10},

   year={2008}

}

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N-body algorithms are applicable to a number of common problems in computational physics including gravitation, electrostatics, and fluid dynamics. Fast algorithms (those with better than O(N^2) performance) exist, but have not been successfully implemented on GPU hardware for practical problems. In the present work, we introduce not only best-in-class performance for a multipole-accelerated treecode method, but a series of improvements that support implementation of this solver on highly-data-parallel graphics processing units (GPUs). The greatly reduced computation times suggest that this problem is ideally suited for the current and next generations of single and cluster CPU-GPU architectures. We believe that this is an ideal method for practical computation of largescale turbulent flows on future supercomputing hardware using parallel vortex particle methods.
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