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 non-...
In this work, we analyze the scalability of inexact two-level balancing domain decomposition by cons...
In this paper, we introduce a new coarse space algorithm, the ''Discontinuous Coarse Space Robin Jum...
soumis pour publicationOptimized Schwarz methods (OSM) are very popular methods which were introduce...
Recently, asynchronous coarse-space correction has been achieved within both the overlapping Schwarz...
International audienceCoarse grid correction is a key ingredient in order to have scalable domain de...
In this presentation, we explain why continuous coarse spaces are a suboptimal choice when combined ...
We explain in this paper why continuous coarse spaces are a suboptimal choice for domain decompositi...
Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. I...
International audienceConvergence of domain decomposition methods rely heavily on the efficiency of ...
In recent years, nonlinear domain decomposition (DD) methods for the solution of nonlinear partial d...
As many DD methods the two level Additive Schwarz method may suffer from a lack of robustness with r...
International audienceThe solution of large sparse linear systems is one of the most time consuming ...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we int...
Nonlinear domain decomposition (DD) methods, such as, e.g., ASPIN (Additive Schwarz Preconditioned I...
Two-level domain decomposition preconditioners lead to fast convergence and scalability of iterative...
In this work, we analyze the scalability of inexact two-level balancing domain decomposition by cons...
In this paper, we introduce a new coarse space algorithm, the ''Discontinuous Coarse Space Robin Jum...
soumis pour publicationOptimized Schwarz methods (OSM) are very popular methods which were introduce...
Recently, asynchronous coarse-space correction has been achieved within both the overlapping Schwarz...
International audienceCoarse grid correction is a key ingredient in order to have scalable domain de...
In this presentation, we explain why continuous coarse spaces are a suboptimal choice when combined ...
We explain in this paper why continuous coarse spaces are a suboptimal choice for domain decompositi...
Coarse grid correction is a key ingredient in order to have scalable domain decomposition methods. I...
International audienceConvergence of domain decomposition methods rely heavily on the efficiency of ...
In recent years, nonlinear domain decomposition (DD) methods for the solution of nonlinear partial d...
As many DD methods the two level Additive Schwarz method may suffer from a lack of robustness with r...
International audienceThe solution of large sparse linear systems is one of the most time consuming ...
In this paper, we are interested in scalable Domain Decomposition Methods (DDM). To this end, we int...
Nonlinear domain decomposition (DD) methods, such as, e.g., ASPIN (Additive Schwarz Preconditioned I...
Two-level domain decomposition preconditioners lead to fast convergence and scalability of iterative...
In this work, we analyze the scalability of inexact two-level balancing domain decomposition by cons...
In this paper, we introduce a new coarse space algorithm, the ''Discontinuous Coarse Space Robin Jum...
soumis pour publicationOptimized Schwarz methods (OSM) are very popular methods which were introduce...