Heinlein, Alexander ORCID: 0000-0003-1578-8104, Hochmuth, Christian and Klawonn, Axel ORCID: 0000-0003-4765-7387 (2020). Reduced dimension GDSW coarse spaces for monolithic Schwarz domain decomposition methods for incompressible fluid flow problems. Int. J. Numer. Methods Eng., 121 (6). S. 1101 - 1120. HOBOKEN: WILEY. ISSN 1097-0207
Full text not available from this repository.Abstract
Monolithic preconditioners for incompressible fluid flow problems can significantly improve the convergence speed compared with preconditioners based on incomplete block factorizations. However, the computational costs for the setup and the application of monolithic preconditioners are typically higher. In this article, several techniques are applied to monolithic two-level generalized Dryja-Smith-Widlund (GDSW) preconditioners to further improve the convergence speed and the computing time. In particular, reduced dimension GDSW coarse spaces, restricted and scaled versions of the first level, hybrid, and parallel coupling of the levels, and recycling strategies are investigated. Using a combination of all these improvements, for a small time-dependent Navier-Stokes problem on 240 message passing interface (MPI) ranks, a reduction of 86% of the time-to-solution can be obtained. Even without applying recycling strategies, the time-to-solution can be reduced by more than 50% for a larger steady Stokes problem on 4608 MPI ranks. For the largest problems with 11 979 MPI ranks, the scalability deteriorates drastically for the monolithic GDSW coarse space. On the other hand, using the reduced dimension coarse spaces, good scalability up to 11 979 MPI ranks, which corresponds to the largest problem configuration fitting on the employed supercomputer, could be achieved.
Item Type: | Journal Article | ||||||||||||||||
Creators: |
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URN: | urn:nbn:de:hbz:38-126864 | ||||||||||||||||
DOI: | 10.1002/nme.6258 | ||||||||||||||||
Journal or Publication Title: | Int. J. Numer. Methods Eng. | ||||||||||||||||
Volume: | 121 | ||||||||||||||||
Number: | 6 | ||||||||||||||||
Page Range: | S. 1101 - 1120 | ||||||||||||||||
Date: | 2020 | ||||||||||||||||
Publisher: | WILEY | ||||||||||||||||
Place of Publication: | HOBOKEN | ||||||||||||||||
ISSN: | 1097-0207 | ||||||||||||||||
Language: | English | ||||||||||||||||
Faculty: | Central Institutions / Interdisciplinary Research Centers | ||||||||||||||||
Divisions: | Weitere Institute, Arbeits- und Forschungsgruppen > Center for Data and Simulation Science (CDS) | ||||||||||||||||
Subjects: | no entry | ||||||||||||||||
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Refereed: | Yes | ||||||||||||||||
URI: | http://kups.ub.uni-koeln.de/id/eprint/12686 |
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