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LBM based flow simulation using GPU computing processor

Frederic Kuznik, Christian Obrecht, Gilles Rusaouen, Jean-Jacques Roux
Universite de Lyon, CNRS, INSA-Lyon, CETHIL, UMR5008, F-69621, Villeurbanne, France
Computers & Mathematics with Applications, Volume 59, Issue 7, Pages 2380-2392, 2010

@article{kuznik2010lbm,

   title={LBM based flow simulation using GPU computing processor},

   author={Kuznik, F. and Obrecht, C. and Rusaouen, G. and Roux, J.J.},

   journal={Computers & Mathematics with Applications},

   volume={59},

   number={7},

   pages={2380–2392},

   issn={0898-1221},

   year={2010},

   publisher={Elsevier}

}

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Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications. In this paper, we develop a general purpose Lattice Boltzmann code that runs entirely on a single GPU. The results show that: (1) simple precision floating point arithmetic is sufficient for LBM computation in comparison to double precision; (2) the implementation of LBM on GPUs allows us to achieve up to about one billion lattice update per second using single precision floating point; (3) GPUs provide an inexpensive alternative to large clusters for fluid dynamics prediction.
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