Joint Research Workshop of Institute of Mathematics for Industry (IMI), Kyushu University : \u22Propagation of Ultra-large-scale Computation by the Domain-decomposition-method for Industrial Problems (PUCDIP 2014)\u22In this paper, the general principles of asynchronous iterative algorithms and their extension to optimized Schwarz methods are presented. The mathematical framework needed for such algorithms is briefly introduced and the convergence of the asynchronous Schwarz method is given. The experimental results, performed on large scale engineering problem, demonstrate that the proposed asynchronous optimized Schwarz algorithms are as fast as their synchronous counterparts in all cases and become faster when the number of cores increas...
. Domain decomposition algorithms based on the Schwarz alternating method are developed for the nume...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
We analyze the convergence rate of an asynchronous space decomposition method for constrained convex...
Optimized Schwarz methods are very efficient iterative algorithms for the parallel solution of compu...
Optimized Schwarz methods are very efficient iterative algorithms for the parallel solution of compu...
International audienceOptimized Schwarz methods are very efficient iterative algorithms for the para...
International audienceAn asynchronous version of the optimized Schwarz method for the solution of di...
An important class of numerical methods features a scalability property well known as the Amdahl’s l...
Schwarz domain decomposition methods have been invented by Hermann Amandus Schwarz in 1869. Basicall...
Une large classe de méthodes numériques possède une propriété d’échelonnabilité connue comme étant l...
Optimized Schwarz methods are a new class of Schwarz methods with greatly enhanced convergence prope...
Optimized Schwarz methods enhance convergence using optimized transmission conditions between subdom...
. We describe and compare some recent domain decomposition algorithms of Schwarz type with respect t...
Summary. Optimized Schwarz methods (OSM) have shown to be an efficient it-erative solver and precond...
International audienceThe Schwarz domain decomposition method [1] is a very attractive numerical met...
. Domain decomposition algorithms based on the Schwarz alternating method are developed for the nume...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
We analyze the convergence rate of an asynchronous space decomposition method for constrained convex...
Optimized Schwarz methods are very efficient iterative algorithms for the parallel solution of compu...
Optimized Schwarz methods are very efficient iterative algorithms for the parallel solution of compu...
International audienceOptimized Schwarz methods are very efficient iterative algorithms for the para...
International audienceAn asynchronous version of the optimized Schwarz method for the solution of di...
An important class of numerical methods features a scalability property well known as the Amdahl’s l...
Schwarz domain decomposition methods have been invented by Hermann Amandus Schwarz in 1869. Basicall...
Une large classe de méthodes numériques possède une propriété d’échelonnabilité connue comme étant l...
Optimized Schwarz methods are a new class of Schwarz methods with greatly enhanced convergence prope...
Optimized Schwarz methods enhance convergence using optimized transmission conditions between subdom...
. We describe and compare some recent domain decomposition algorithms of Schwarz type with respect t...
Summary. Optimized Schwarz methods (OSM) have shown to be an efficient it-erative solver and precond...
International audienceThe Schwarz domain decomposition method [1] is a very attractive numerical met...
. Domain decomposition algorithms based on the Schwarz alternating method are developed for the nume...
International audienceIterative asynchronous parallel methods are nowadays gaining renewed interest ...
We analyze the convergence rate of an asynchronous space decomposition method for constrained convex...