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This article is cited in 2 scientific papers (total 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.
Received: 21.03.2022 Revised: 08.05.2022 Accepted: 01.06.2022
Citation:
B. N. Chetverushkin, M. B. Markov, R. V. Uskov, “On the parallelization of the particle method for hybrid supercomputers”, Dokl. RAN. Math. Inf. Proc. Upr., 505 (2022), 19–23; Dokl. Math., 106:1 (2022), 225–229
Linking options:
https://www.mathnet.ru/eng/danma271 https://www.mathnet.ru/eng/danma/v505/p19
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Abstract page: | 130 | References: | 22 |
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