GPU Computing for Meshfree Particle Method

M. Panchatcharam, S. Sundar, V. Vetrivel, A. Klar, S. Tiwari
Department of Mathematics, IIT Madras, Chennai – 600 036, India
International Journal of Numerical Analysis and Modeling, Series B, Volume 4, Number 4, Pages 394-412, 2013
@article{panchatcharam2013gpu,

   title={GPU Computing for Meshfree Particle Method},

   author={PANCHATCHARAM, M and SUNDAR, S and VETRIVEL, V and KLAR, A and TIWARI, S},

   year={2013}

}

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Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications. A study on the comparison of computational speed-up and efficiency of a GPU with a CPU for the Finite Pointset Method (FPM), which is a numerical tool in Computational Fluid Dynamics (CFD) is presented. As FPM is based on the point cloud, it is so expensive when the number of particles are in millions. We have demonstrated the application of the FPM using a single-GPU (Nvidia Tesla M2050) and Intel CPU (Dual Xeon). Importance of the GPU is realized by the FPM since GPU yields a computational speed-up of 70x for the Poisson equation with various boundary conditions.
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