Combining p-multigrid and Multigrid Reduction in Time methods to obtain a scalable solver for Isogeometric Analysis

Journal Article (2022)
Author(s)

R. Tielen (TU Delft - Numerical Analysis)

M. Möller (TU Delft - Numerical Analysis)

Kees Vuik (TU Delft - Delft Institute of Applied Mathematics)

Research Group
Numerical Analysis
Copyright
© 2022 R.P.W.M. Tielen, M. Möller, Cornelis Vuik
DOI related publication
https://doi.org/10.1007/s42452-022-05043-7
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 R.P.W.M. Tielen, M. Möller, Cornelis Vuik
Research Group
Numerical Analysis
Issue number
6
Volume number
4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The use of sequential time integration schemes becomes more and more the bottleneck within large-scale computations due to a stagnation of processor’s clock speeds. In this study, we combine the parallel-in-time Multigrid Reduction in Time method with a p-multigrid method to obtain a scalable solver specifically designed for Isogeometric Analysis. Numerical results obtained for two- and three-dimensional benchmark problems show the overall scalability of the proposed method on modern computer architectures and a significant improvement in terms of CPU timings compared to the use of standard spatial solvers.