International audienceTraditional largesparselinearsolvers are not suited in agrid computing environment as they require alarge amount of synchronization and communication penalizing the performance on this architecture. This paper presents some features of the solver designed during the current GREMLINS (GRid Efficient Method forLINear Systems) project. The GREMLINS solver limits the amount of communication as it is based on a coarse grained iterative method called multisplitting method. Moreover, the solver can be executed either in a synchronous or an asynchronous mode. In the latter case, iterations are desynchronized and there is no more synchronization at all. It may result in a faster execution time compared to the synchronous case. ...
Parallel asynchronous iterative algorithms exhibit features that are extremely well–suited for Grid ...
This dissertation deals mainly with the design, implementation, and analysis of efficient iterative ...
Currently, numerical simulation using automated parameter studies is a key tool in discovering funct...
International audienceTraditional largesparselinearsolvers are not suited in agrid computing environ...
International audienceMany scientific applications need to solve very large sparse linear systems in...
International audienceSolving large sparse linear systems is essential in numerous scientific domain...
In this paper we describe an efficient iterative algorithm for solving large sparse linear systems o...
International audienceGrid computing focuses on making use of a very large amount of resources from ...
Abstract Efficiently solving large sparse linear systems on loosely coupled net-works of computers i...
International audienceIn this paper, we revisit the Krylov multisplitting algorithm presented in Hua...
The goal of this paper is to introduce a new approach to the building of efficient distributed linea...
International audienceIn this paper, we show how to solve large sparse linear systems in a grid envi...
Iterative methods for solving large sparse systems of linear equations are widely used in many HPC a...
Many large scale scientific simulations involve the time evolution of systems modelled as Partial Di...
Many scientific and industrial problems need the resolution of nonsymmetric linear systems of large ...
Parallel asynchronous iterative algorithms exhibit features that are extremely well–suited for Grid ...
This dissertation deals mainly with the design, implementation, and analysis of efficient iterative ...
Currently, numerical simulation using automated parameter studies is a key tool in discovering funct...
International audienceTraditional largesparselinearsolvers are not suited in agrid computing environ...
International audienceMany scientific applications need to solve very large sparse linear systems in...
International audienceSolving large sparse linear systems is essential in numerous scientific domain...
In this paper we describe an efficient iterative algorithm for solving large sparse linear systems o...
International audienceGrid computing focuses on making use of a very large amount of resources from ...
Abstract Efficiently solving large sparse linear systems on loosely coupled net-works of computers i...
International audienceIn this paper, we revisit the Krylov multisplitting algorithm presented in Hua...
The goal of this paper is to introduce a new approach to the building of efficient distributed linea...
International audienceIn this paper, we show how to solve large sparse linear systems in a grid envi...
Iterative methods for solving large sparse systems of linear equations are widely used in many HPC a...
Many large scale scientific simulations involve the time evolution of systems modelled as Partial Di...
Many scientific and industrial problems need the resolution of nonsymmetric linear systems of large ...
Parallel asynchronous iterative algorithms exhibit features that are extremely well–suited for Grid ...
This dissertation deals mainly with the design, implementation, and analysis of efficient iterative ...
Currently, numerical simulation using automated parameter studies is a key tool in discovering funct...