Geodesic
Efficiency analysis of hydrodynamic calculations on GPU and CPU clusters
Numerical methods and programming, Tome 17 (2016) no. 3, pp. 329-338

Voir la notice de l'article provenant de la source Math-Net.Ru

Speedup of parallel hydrodynamic calculations on clusters with CPUs and GPUs is considered. The CFD SigmaFlow code developed by the authors and ported for GPU by means of CUDA is used in test calculations. The incompressible flow simulation is based on a SIMPLE-like procedure and on a discretization by the control volume method on unstructured hexahedral meshes. The performance evaluation shows a high efficiency of the new generation of GPUs for GPGPU calculations.
Keywords: GPGPU, numerical simulation, computational fluid dynamics, MPI, CUDA.
Mots-clés : SIMPLE 
@article{VMP_2016_17_3_a13,
     author = {A. V. Sentyabov and A. A. Gavrilov and M. A. Krivov and A. A. Dekterev and M. N. Pritula},
     title = {Efficiency analysis of hydrodynamic calculations on {GPU} and {CPU} clusters},
     journal = {Numerical methods and programming},
     pages = {329--338},
     publisher = {mathdoc},
     volume = {17},
     number = {3},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2016_17_3_a13/}
}
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A. V. Sentyabov; A. A. Gavrilov; M. A. Krivov; A. A. Dekterev; M. N. Pritula. Efficiency analysis of hydrodynamic calculations on GPU and CPU clusters. Numerical methods and programming, Tome 17 (2016) no. 3, pp. 329-338. http://geodesic.mathdoc.fr/item/VMP_2016_17_3_a13/