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Numerical methods and programming, 2015, Volume 16, Issue 2, Pages 205–214 (Mi vmp533)  
This article is cited in 2 scientific papers (total in 2 papers)

An efficient implementation of the lattice Boltzmann method for hybrid supercomputers

D. A. Bikulov

Lomonosov Moscow State University, Faculty of Physics
Full-text PDF (325 kB) Citations (2)
Abstract: A number of features of an efficient implementation of the lattice Boltzmann method (LBM) for hybrid supercomputers with many graphics processing units (GPU) are discussed. The main strategies for reducing the memory space required by LBM are described. The performance dependence of the implemented solver on the number of the GPUs in use is analyzed for the Lomonosov supercomputer installed at Moscow State University.
Keywords: Lattice Boltzmann method, LBM, cuda, multi-gpu, high-performance computing, graphics processing unit, lattice Boltzmann method, CUDA, multi-gpu, scalability.
Received: 19.03.2015
UDC: 533.6
Language: Russian
Citation: D. A. Bikulov, “An efficient implementation of the lattice Boltzmann method for hybrid supercomputers”, Num. Meth. Prog., 16:2 (2015), 205–214
Citation in format AMSBIB
\Bibitem{Bik15}
\by D.~A.~Bikulov
\paper An efficient implementation of the lattice Boltzmann method for hybrid supercomputers
\jour Num. Meth. Prog.
\yr 2015
\vol 16
\issue 2
\pages 205--214
\mathnet{http://mi.mathnet.ru/vmp533}
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  • https://www.mathnet.ru/eng/vmp/v16/i2/p205
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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