We address the hard question of efficient use on parallel platforms, of incomplete factorization preconditioning techniques for solving large and sparse linear systems by Krylov subspace methods. A novel parallelization strategy based on pseudo overlapped subdomains is explored. This results in efficient parallelizable precondi tioners. Numerical results give evidence that high performance can be achieved
Factorization algorithms based on threshold incomplete LU factorization have been found to be quite ...
A class of parallel incomplete factorization preconditionings for the solution of large linear sys...
This paper describes and tests a parallel implementation of a factorized approximate inverse precond...
We address the hard question of efficient use on parallel platforms, of incomplete factorization pre...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
Abstract. Incomplete factorization preconditioners such as ILU, ILUT and MILU are well-known robust ...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
International audienceSolving large sparse linear systems by iterative methods has often been quite ...
We review current methods for preconditioning systems of equations for their solution using iterativ...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
International audienceThe purpose of our work is to provide a method which exploits the parallel blo...
Two general parallel incomplete factorization strategies are investigated. The techniques may be i...
We present a class of parallel preconditioning strategies built on a multilevel block incomplete LU ...
A class of parallel incomplete factorization preconditionings for the solution of large linear syste...
We introduce a novel strategy for parallel preconditioning of large-scale linear systems by means of...
Factorization algorithms based on threshold incomplete LU factorization have been found to be quite ...
A class of parallel incomplete factorization preconditionings for the solution of large linear sys...
This paper describes and tests a parallel implementation of a factorized approximate inverse precond...
We address the hard question of efficient use on parallel platforms, of incomplete factorization pre...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
Abstract. Incomplete factorization preconditioners such as ILU, ILUT and MILU are well-known robust ...
AbstractWe design, analyse and test a class of incomplete orthogonal factorization preconditioners c...
International audienceSolving large sparse linear systems by iterative methods has often been quite ...
We review current methods for preconditioning systems of equations for their solution using iterativ...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
International audienceThe purpose of our work is to provide a method which exploits the parallel blo...
Two general parallel incomplete factorization strategies are investigated. The techniques may be i...
We present a class of parallel preconditioning strategies built on a multilevel block incomplete LU ...
A class of parallel incomplete factorization preconditionings for the solution of large linear syste...
We introduce a novel strategy for parallel preconditioning of large-scale linear systems by means of...
Factorization algorithms based on threshold incomplete LU factorization have been found to be quite ...
A class of parallel incomplete factorization preconditionings for the solution of large linear sys...
This paper describes and tests a parallel implementation of a factorized approximate inverse precond...