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JOURNALS // Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia // Archive

Dokl. RAN. Math. Inf. Proc. Upr., 2022 Volume 505, Pages 19–23 (Mi danma271)

This article is cited in 2 papers

MATHEMATICS

On the parallelization of the particle method for hybrid supercomputers

B. N. Chetverushkin, M. B. Markov, R. V. Uskov

Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow, Russia

Abstract: An implementation of the particle method on a hybrid cluster with graphics processing units (GPU) for modeling bulk generation, propagation, and scattering of electrons in a self-consistent electromagnetic field is presented. For synchronization of recording of results and data exchange in the calculation of particle parameters, solutions are proposed that reduce GPU RAM usage.

Keywords: particle method, synchronization of calculations, GPU.

UDC: 518.8:533.9

Received: 21.03.2022
Revised: 08.05.2022
Accepted: 01.06.2022

DOI: 10.31857/S2686954322040063


 English version:
Doklady Mathematics, 2022, 106:1, 225–229

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© Steklov Math. Inst. of RAS, 2025