Accurate implementation of two-level asynchronous domain decomposition solvers
Recently, asynchronous coarse-grid correction has been achieved within additive Schwarz-type and primal Schur domain decomposition frameworks. Both additive and multiplicative coarse-grid corrections were discussed, however, the implemented asynchronous Schwarz-type solver with additive correction r...
Gespeichert in:
Veröffentlicht in: | Advances in engineering software (1992) 2024-07, Vol.193, p.103660, Article 103660 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Recently, asynchronous coarse-grid correction has been achieved within additive Schwarz-type and primal Schur domain decomposition frameworks. Both additive and multiplicative coarse-grid corrections were discussed, however, the implemented asynchronous Schwarz-type solver with additive correction relies on the specific design of the restricted additive Schwarz (RAS) method, and also requires an overlap between the subsets of unknowns. In this paper, we first highlight a gap between the theoretical analysis from the literature and the associated RAS implementation. It turns out that communications delays would actually need to be bounded in order to fit the theory. This has to be stressed since, despite the asynchronous nature of the solver, the coarse-grid correction requires non-blocking global synchronization, which is subject to communications bottleneck. Second, we propose an implementation approach which applies to a wider class of additive Schwarz-type methods while still coping with the bounded delays requirement.
•Generalization of asynchronous coarse grid to various Schwarz type methods.•Reduced gap between theoretical and practical iteration mappings.•Construction of globally coherent right-hand side for the coarse problem.•Higher proportion of two-level iterations instead of only one per coarse solution. |
---|---|
ISSN: | 0965-9978 |
DOI: | 10.1016/j.advengsoft.2024.103660 |