LBM based flow simulation using GPU computing processor
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}
}
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.
November 25, 2010 by hgpu
