Abstract
This work is devoted to evaluating the performance of a multicore CPU Elbrus-8C processor in supercomputer computational fluid dynamics (CFD) applications. Parallel simulation codes based on highly accurate methods on unstructured meshes for modeling the turbulent flows are considered. The main features of the Elbrus architecture are described, and the approaches for adaptating and optimizing the computing software are presented. The performance is investigated for both entire algorithms and their operations separately. The results of comparative testing with different multicore Intel and AMD CPUs are presented.
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ACKNOWLEDGMENTS
The authors thank B.N. Chetverushkin and A.K. Kim for their help and discussion of the current work.
Funding
The work is supported by the Program of fundamental studies of presidium no. 26 of the Russian Academy of Sciences on the research priorities determined by the presidium of the Russian Academy of Sciences for 2018: Fundamentals of designing the algorithms and software for promising high-performance computing.
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Translated by E. Oborin
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Gorobets, A.V., Neiman-Zade, M.I., Okunev, S.K. et al. Performance of Elbrus-8C Processor in Supercomputer CFD Simulations. Math Models Comput Simul 11, 914–923 (2019). https://doi.org/10.1134/S2070048219060073
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DOI: https://doi.org/10.1134/S2070048219060073