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Parallel inexact constraint preconditioning for ill-conditioned consolidation problems.
- Source :
-
Computational Geosciences . Jun2012, Vol. 16 Issue 3, p661-675. 15p. - Publication Year :
- 2012
-
Abstract
- Constraint preconditioners have proved very efficient for the solution of ill-conditioned finite element (FE) coupled consolidation problems in a sequential computing environment. Their implementation on parallel computers, however, is not straightforward because of their inherent sequentiality. The present paper describes a novel parallel inexact constraint preconditioner (ParICP) for the efficient solution of linear algebraic systems arising from the FE discretization of the coupled poro-elasticity equations. The ParICP implementation is based on the use of the block factorized sparse approximate inverse incomplete Cholesky preconditioner, which is a very recent and effective development for the parallel preconditioning of symmetric positive definite matrices. The ParICP performance is experimented with in real 3D coupled consolidation problems, proving a scalable and efficient implementation of the constraint preconditioning for high-performance computing. ParICP appears to be a very robust algorithm for solving ill-conditioned large-size coupled models in a parallel computing environment. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14200597
- Volume :
- 16
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Computational Geosciences
- Publication Type :
- Academic Journal
- Accession number :
- 74752423
- Full Text :
- https://doi.org/10.1007/s10596-012-9276-4