RUS  ENG
Full version
JOURNALS // Matematicheskoe modelirovanie // Archive

Matem. Mod., 2023 Volume 35, Number 12, Pages 69–88 (Mi mm4513)

This article is cited 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

DOI: 10.20948/mm-2023-12-05



© Steklov Math. Inst. of RAS, 2024