Supercomputers nowadays can be used to solve large-scale problems that come from simulation of industrial or research problems. However, those machines are usually inacessible to most industries and university laboratories around the world. In this work we present an iterative solver, a Krylov-Schwarz Method (KSM), to be used in a collection of workstations under PVM. The subdomain problems are solved by using many methods in order to show how the choice of the local solvers affects the overall performance of the distributed KSM
This thesis presents a set of routines that aim at solving large linear systems on parallel computer...
. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel implicit solu...
International audienceThis paper deals with the parallel solution of the stationary obstacle problem...
International audienceLinear and nonlinear convection-diffusion problems are considered. The numeric...
Recent years have witnessed that iterative Krylov methods without re-designing are not suitable for ...
We develop a new class of overlapping Schwarz type algorithms for solving scalar convectiondiffusion...
Newton-Krylov methods and Krylov-Schwarz (domain decomposition) methods have begun to become establi...
We develop a new class of overlapping Schwarz type algorithms for solving scalar convection-diffusio...
Parallel implementations of a Newton-Krylov-Schwarz algorithm are used to solve a model problem repr...
Convection-diffusion model problems require solving a partial differential equation (PDE). One will...
Newton-Krylov-Schwarz methods are increasingly applied in Computational Fluid Dynamics (CFD). We dev...
Recent years have witnessed that iterative Krylov methods without re-designing are not suitable for ...
Abstract. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel impli...
International audienceThe paper improves a preliminary experimental study on a cluster by adding bo...
Inexact (variable) preconditioning of Multilevel Krylov methods (MK methods) for the solution of lin...
This thesis presents a set of routines that aim at solving large linear systems on parallel computer...
. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel implicit solu...
International audienceThis paper deals with the parallel solution of the stationary obstacle problem...
International audienceLinear and nonlinear convection-diffusion problems are considered. The numeric...
Recent years have witnessed that iterative Krylov methods without re-designing are not suitable for ...
We develop a new class of overlapping Schwarz type algorithms for solving scalar convectiondiffusion...
Newton-Krylov methods and Krylov-Schwarz (domain decomposition) methods have begun to become establi...
We develop a new class of overlapping Schwarz type algorithms for solving scalar convection-diffusio...
Parallel implementations of a Newton-Krylov-Schwarz algorithm are used to solve a model problem repr...
Convection-diffusion model problems require solving a partial differential equation (PDE). One will...
Newton-Krylov-Schwarz methods are increasingly applied in Computational Fluid Dynamics (CFD). We dev...
Recent years have witnessed that iterative Krylov methods without re-designing are not suitable for ...
Abstract. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel impli...
International audienceThe paper improves a preliminary experimental study on a cluster by adding bo...
Inexact (variable) preconditioning of Multilevel Krylov methods (MK methods) for the solution of lin...
This thesis presents a set of routines that aim at solving large linear systems on parallel computer...
. Domain decomposition (Krylov-Schwarz) iterative methods are natural for the parallel implicit solu...
International audienceThis paper deals with the parallel solution of the stationary obstacle problem...