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Numerical Model of Shallow Water: the Use of NVIDIA CUDA Graphics Processors

Tatyana Dyakonova, Alexander Khoperskov, Sergey Khrapov
Volgograd State University, Volgograd, Russia
arXiv:1705.00614 [cs.CE], (1 May 2017)

@article{dyakonova2017numerical,

   title={Numerical Model of Shallow Water: the Use of NVIDIA CUDA Graphics Processors},

   author={Dyakonova, Tatyana and Khoperskov, Alexander and Khrapov, Sergey},

   year={2017},

   month={may},

   archivePrefix={"arXiv"},

   primaryClass={cs.CE},

   doi={10.1007/978-3-319-55669-7_11}

}

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In the paper we discuss the main features of the software package for numerical simulations of the surface water dynamics. We consider an approximation of the shallow water equations together with the parallel technologies for NVIDIA CUDA graphics processors. The numerical hydrodynamic code is based on the combined Lagrangian-Euler method~(CSPH-TVD). We focused on the features of the parallel implementation of Tesla line of graphics processors: C2070, K20, K40, K80. By using hierarchical grid systems at different spatial scales we increase the efficiency of the computing resources usage and speed up our simulations of a various flooding problems.
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