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This article is cited in 2 scientific papers (total in 2 papers)
Mathematical physics
Data parallelization algorithms for the direct simulation Monte Carlo method for rarefied gas flows on the basis of OpenMP technology
N. Yu. Bykovab, S. A. Fyodorovab a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, 119333, Moscow, Russia
b Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia
Abstract:
A data parallelization algorithm for the direct simulation Monte Carlo method for rarefied gas flows is considered. The scaling of performance of the main algorithm procedures are analyzed. Satisfactory performance scaling of the parallel particle indexing procedure is shown, and an algorithm for speeding up the operation of this procedure is proposed. Using examples of solving problems of free flow and flow around a cone for a 28-core node with shared memory, an acceptable speedup of the entire algorithm was obtained. The efficiency of the data parallelization algorithm and the computational domain decomposition algorithm for free flow is compared. Using the developed parallel code, a study of the supersonic rarefied flow around a cone is carried out.
Key words:
direct simulation Monte Carlo method, parallel algorithms, data parallelization, OpenMP, rarefied gas, flow around cone.
Received: 26.06.2023 Revised: 05.07.2023 Accepted: 22.08.2023
Citation:
N. Yu. Bykov, S. A. Fyodorov, “Data parallelization algorithms for the direct simulation Monte Carlo method for rarefied gas flows on the basis of OpenMP technology”, Zh. Vychisl. Mat. Mat. Fiz., 63:12 (2023), 1993–2015; Comput. Math. Math. Phys., 63:12 (2023), 2275–2296
Linking options:
https://www.mathnet.ru/eng/zvmmf11666 https://www.mathnet.ru/eng/zvmmf/v63/i12/p1993
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