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Num. Meth. Prog., 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

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.

Full text: PDF file (325 kB)
UDC: 533.6
Received: 19.03.2015

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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    This publication is cited in the following articles:
    1. G. V. Krivovichev, “Issledovanie ustoichivosti raznostnykh skhem metoda reshetochnykh uravnenii Boltsmana dlya modelirovaniya diffuzii”, Kompyuternye issledovaniya i modelirovanie, 8:3 (2016), 485–500  mathnet  crossref
    2. G. V. Krivovichev, “Kineticheskie uravneniya dlya modelirovaniya diffuzionnykh protsessov metodom reshetochnykh uravnenii Boltsmana”, Kompyuternye issledovaniya i modelirovanie, 9:6 (2017), 919–936  mathnet  crossref
  • Numerical methods and programming
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