Abstract | ||
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•We review the effectiveness of GPUs as Lattice–Boltzmann compute engines.•We clarify how memory allocation impacts performance in Lattice–Boltzmann codes.•We compare efficiencies of Lattice–Boltzmann codes on GPUs and standard CPUs.•We explore strategies to use many GPUs in parallel for Lattice–Boltzmann simulations. |
Year | DOI | Venue |
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2017 | 10.1016/j.parco.2016.08.005 | Parallel Computing |
Keywords | DocType | Volume |
Lattice–Boltzmann,GPU accelerators,Massively parallel programming,Heterogeneous systems | Journal | 58 |
ISSN | Citations | PageRank |
0167-8191 | 12 | 0.67 |
References | Authors | |
16 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Enrico Calore | 1 | 50 | 8.63 |
Alessandro Gabbana | 2 | 25 | 3.02 |
Jiri Kraus | 3 | 62 | 6.41 |
E. Pellegrini | 4 | 12 | 0.67 |
Sebastiano Fabio Schifano | 5 | 191 | 28.37 |
Raffaele Tripiccione | 6 | 145 | 20.46 |