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Book Sections Year : 2019

Efficient Parallel Solvers for the FireStar3D Wildfire Numerical Simulation Model

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Oleg Bessonov
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Abstract

This paper presents efficient parallel methods for solving ill-conditioned linear systems arising in fluid dynamics problems. The first method is based on the Modified LU decomposition, applied as a preconditioner to the Conjugate gradient algorithm. Parallelization of this method is based on the use of nested twisted factorization. Another method is based on a highly parallel Algebraic multigrid algorithm with a new smoother developed for anisotropic grids. Performance comparisons demonstrate superiority of new methods over commonly used variants of the Conjugate gradient method.
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Dates and versions

hal-02957460 , version 1 (05-10-2020)

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Oleg Bessonov, Sofiane Meradji. Efficient Parallel Solvers for the FireStar3D Wildfire Numerical Simulation Model. Malyshkin V. (eds) Parallel Computing Technologies. PaCT 2019. Lecture Notes in Computer Science, vol 11657. Springer, Cham, pp.140-150, 2019, 978-3-030-25635-7. ⟨10.1007/978-3-030-25636-4_11⟩. ⟨hal-02957460⟩
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