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EnglishConstraint preconditioners have proved very efficient for the solution of ill-conditioned saddle point 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) based on the use of the BFSAI-IC preconditioner. The ParICP performance is experimented with in large size saddle-point problems arising from the Finite Element (FE) simulation of coupled consolidation in saturated porous media, 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 saddle-point problems in a parallel computing environment.
| Titolo: | Parallel preconditioners for saddle-point problems |
| Autori: | |
| Data di pubblicazione: | 2011 |
| Abstract: | Constraint preconditioners have proved very efficient for the solution of ill-conditioned saddle point 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) based on the use of the BFSAI-IC preconditioner. The ParICP performance is experimented with in large size saddle-point problems arising from the Finite Element (FE) simulation of coupled consolidation in saturated porous media, 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 saddle-point problems in a parallel computing environment. |
| Handle: | http://hdl.handle.net/11577/2440685 |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
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