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Heterogeneous Computing in Resource-Intensive CFD Simulations

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Abstract

A software package implementing a fully heterogeneous mode of computations on CPUs and GPU accelerators for efficient use of hybrid supercomputers has been developed at the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences. The package involves a distributed preprocessor ensuring work with fine unstructured meshes. Combined compression of the grid topology is used to reduce the amount of storage required for superlarge grid data. The study involves petascale computational resources.

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Authors and Affiliations

  1. Federal Research Center Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, 125047, Russia

    S. A. Soukov & A. V. Gorobets

Authors
  1. S. A. Soukov
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  2. A. V. Gorobets
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Correspondence to S. A. Soukov.

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Original Russian Text © S.A. Soukov, A.V. Gorobets, 2018, published in Doklady Akademii Nauk, 2018, Vol. 482, No. 4.

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Soukov, S.A., Gorobets, A.V. Heterogeneous Computing in Resource-Intensive CFD Simulations. Dokl. Math. 98, 472–474 (2018). https://doi.org/10.1134/S1064562418060194

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  • DOI: https://doi.org/10.1134/S1064562418060194

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