Abstract
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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Notes
- 1.
In particular, the one is at Research Computing Center of M.V. Lomonosov Moscow State University [12].
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Acknowledgments
The numerical simulations have been performed at the Research Computing Center (Moscow State University). AVK has been supported by the Russian Scientific Foundation (grant 15-02-06204), SSK is thankful to the RFBR (grant 16-07-01037). The simulation results part was developed under support from the RFBR and the Administration of Volgograd region grant 15–45-02655 (TAD). The study is carried out within the framework of government task by the Ministry of Education and Science of the Russian Federation (research work title No. 2.852.2017/PCH).
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Dyakonova, T., Khoperskov, A., Khrapov, S. (2016). Numerical Model of Shallow Water: The Use of NVIDIA CUDA Graphics Processors. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2016. Communications in Computer and Information Science, vol 687. Springer, Cham. https://doi.org/10.1007/978-3-319-55669-7_11
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DOI: https://doi.org/10.1007/978-3-319-55669-7_11
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