Geodesic
Performance of Elbrus-8C processor in supercomputer CFD simulations
Matematičeskoe modelirovanie, Tome 31 (2019) no. 4, pp. 17-32

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

The present work is devoted to performance evaluation of a multicore CPU Elbrus-8C in supercomputer computational fluid dynamics (CFD) applications. Parallel simulation codes based on higher-accuracy methods on unstructured meshes for modelling of turbulent flows are considered. Main features of the Elbrus architecture are described, approaches for adaptation and optimization of computing software are presented. Performance has been investigated for the whole algorithms and for their main operations separately. Benchmarking results in comparison with various Intel and AMD multicore CPUs are presented.
Mots-clés : CFD
Keywords: HPC, Elbrus processor, supercomputer simulations, performance. 
@article{MM_2019_31_4_a1,
     author = {A. V. Gorobets and M. I. Neiman-zade and S. K. Okunev and A. A. Kalyakin and S. A. Soukov},
     title = {Performance of {Elbrus-8C} processor in supercomputer {CFD} simulations},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {17--32},
     publisher = {mathdoc},
     volume = {31},
     number = {4},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2019_31_4_a1/}
}
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A. V. Gorobets; M. I. Neiman-zade; S. K. Okunev; A. A. Kalyakin; S. A. Soukov. Performance of Elbrus-8C processor in supercomputer CFD simulations. Matematičeskoe modelirovanie, Tome 31 (2019) no. 4, pp. 17-32. http://geodesic.mathdoc.fr/item/MM_2019_31_4_a1/