10474

A GPU Implementation for Two-Dimensional Shallow Water Modeling

Kerry A. Seitz Jr., Alex Kennedy, Owen Ransom, Bassam A. Younis, John D. Owens
Department of Computer Science, University of California, Davis
arXiv:1309.1230 [cs.DC], (5 Sep 2013)

@article{2013arXiv1309.1230S,

   author={Seitz}, Jr., K.~A. and {Kennedy}, A. and {Ransom}, O. and {Younis}, B.~A. and {Owens}, J.~D.},

   title={"{A GPU Implementation for Two-Dimensional Shallow Water Modeling}"},

   journal={ArXiv e-prints},

   archivePrefix={"arXiv"},

   eprint={1309.1230},

   primaryClass={"cs.DC"},

   keywords={Computer Science – Distributed, Parallel, and Cluster Computing},

   year={2013},

   month={sep},

   adsurl={http://adsabs.harvard.edu/abs/2013arXiv1309.1230S},

   adsnote={Provided by the SAO/NASA Astrophysics Data System}

}

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In this paper, we present a GPU implementation of a two-dimensional shallow water model. Water simulations are useful for modeling floods, river/reservoir behavior, and dam break scenarios. Our GPU implementation shows vast performance improvements over the original Fortran implementation. By taking advantage of the GPU, researchers and engineers will be able to study water systems more efficiently and in greater detail.
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