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JOURNALS // Numerical methods and programming // Archive

Num. Meth. Prog., 2015 Volume 16, Issue 2, Pages 205–214 (Mi vmp533)

This article is cited 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.

UDC: 533.6

Received: 19.03.2015



© Steklov Math. Inst. of RAS, 2026