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This article is cited in 1 scientific paper (total in 1 paper)
Dynamic load balancing using adaptive locally refined meshes
S. K. Grigoriev, D. A. Zakharov, M. A. Kornilina, M. V. Yakobovskiy Keldysh institute of Applied Mathematics RAS
Abstract:
Representation methods and processing algorithms for dynamically adaptive locally refined meshes are proposed for serial and parallel computing systems, including hybrid ones. Estimates of the complexity of the algorithms are given. New parallel algorithms for decomposition of locally condensed meshes and dynamic load balancing are proposed, which provide low overhead and reduce overall computation time for two- and three-dimensional numerical modeling. Time reduction is achieved by decreasing the number of cells in the computational grid (relative to the regular grid) and including parallel processing.
Keywords:
supercomputer, domain decomposition, dynamic load balancing, locally refined computational meshes, computation speedup, GPU.
Received: 16.10.2023 Revised: 16.10.2023 Accepted: 04.12.2023
Citation:
S. K. Grigoriev, D. A. Zakharov, M. A. Kornilina, M. V. Yakobovskiy, “Dynamic load balancing using adaptive locally refined meshes”, Matem. Mod., 35:12 (2023), 69–88; Math. Models Comput. Simul., 16:2 (2024), 280–292
Linking options:
https://www.mathnet.ru/eng/mm4513 https://www.mathnet.ru/eng/mm/v35/i12/p69
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