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Matematicheskoe modelirovanie, 2017, Volume 29, Number 3, Pages 16–28 (Mi mm3823)  
Computational efficiency of GPU-based uncompressible flow simulation

A. Sentyabovabc, A. Gavrilovacb, S. Grizand, A. Dekterevcab, D. Boykovcb

a Kazan National Research Technical University, Kazan
b Siberian Federal University, Krasnoyarsk
c Institute of Thermophysics SB RAS, Novosibirsk
d Special Design and Technological Bureau “Nauka” SB RAS, Krasnoyarsk
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Abstract: The paper considers increasing of computational efficiency by means of graphics processors. The numerical method is based on pressure-velocity coupling by pressure correction equation. CUDA is used for calculation on graphical processors. Parallel calculations on graphics processors, central processors or both graphical and central processors are used with computational domain decomposition. Steady laminar flow in a container with rotating end wall and unsteady laminar flow around a circular cylinder are used as tests. Higher computational efficiency of calculations on graphics processors as compared with calculations on central processors is shown.
Keywords: GPGPU, numerical simulation, CFD, SIMPLE, MPI, CUDA.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 14.Z50.31.0003
Russian Foundation for Basic Research 16-41-243033_р_мол_а
Received: 05.11.2015
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Document Type: Article
Language: Russian
Citation: A. Sentyabov, A. Gavrilov, S. Grizan, A. Dekterev, D. Boykov, “Computational efficiency of GPU-based uncompressible flow simulation”, Matem. Mod., 29:3 (2017), 16–28
Citation in format AMSBIB
\Bibitem{SenGavGri17}
\by A.~Sentyabov, A.~Gavrilov, S.~Grizan, A.~Dekterev, D.~Boykov
\paper Computational efficiency of GPU-based uncompressible flow simulation
\jour Matem. Mod.
\yr 2017
\vol 29
\issue 3
\pages 16--28
\mathnet{http://mi.mathnet.ru/mm3823}
\elib{https://elibrary.ru/item.asp?id=28922643}
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    		Математическое моделирование
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