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Civil-Comp Conferences
ISSN 2753-3239 CCC: 4
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GPU AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, F. Magoulès and B.H.V. Topping
Paper 1.1
Accurate Coarse Residual for Two-Level Asynchronous Domain Decomposition Methods G. Gbikpi-Benissan1 and F. Magoules1,2
1Laboratory of Mathematics in Interaction with Computer
Science, Centrale Supelec, Paris-Saclay University, Gif-sur-Yvette, France
G. Gbikpi-Benissan, F. Magoules, "Accurate Coarse Residual for Two-Level Asynchronous Domain Decomposition Methods", in P. Iványi, F. Magoulès, B.H.V. Topping, (Editors), "Proceedings of the Seventh International Conference on Parallel, Distributed, GPU
and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 4, Paper 1.1, 2023, doi:10.4203/ccc.4.1.1
Keywords: parallel computing, domain decomposition methods, overlapping Schwarz, asynchronous iterations, coarse-space correction, global residual.
Abstract
Recently, asynchronous coarse-space correction has been achieved within both the
overlapping Schwarz and the primal Schur frameworks. Both additive and multiplicative corrections have been discussed. In this paper, we address some implementation drawbacks of the proposed additive correction scheme. In the existing approach, each coarse solution is applied only once, leaving most of the iterations of the solver without
coarse-space information while building the right-hand side of the coarse problem. Moreover, one-sided routines of the Message Passing Interface (MPI) standard
were considered, which introduced the need for a sleep statement in the iterations
loop of the coarse solver. This implies a tuning of the sleep period, which is a nondiscrete quantity. In this paper, we improve the accuracy of the coarse right-hand side, which allowed for more frequent corrections. In addition, we highlight a two-sided
implementation which better suits the asynchronous coarse-space correction scheme.
Numerical experiments show a significant performance gain with such increased incorporation
of the coarse space.
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