@Article{cmes.2009.049.191,
AUTHOR = {Luca  Bergamaschi, ,Ángeles Martínez, Giorgio  Pini},
TITLE = {An Efficient Parallel MLPG Method for Poroelastic Models},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {49},
YEAR = {2009},
NUMBER = {3},
PAGES = {191--216},
URL = {http://www.techscience.com/CMES/v49n3/25385},
ISSN = {1526-1506},
ABSTRACT = {A meshless model, based on the Meshless Local Petrov-Galerkin (MLPG) approach, is developed and implemented in parallel for the solution of axi-symmetric poroelastic problems. The parallel code is based on a concurrent construction of the stiffness matrix by the processors and on a parallel preconditioned iterative method of Krylov type for the solution of the resulting linear system. The performance of the code is investigated on a realistic application concerning the prediction of land subsidence above a deep compacting reservoir. The overall code is shown to obtain a very high parallel efficiency (larger than 78% for the solution phase) and it is successfully applied to the solution of a poroelastic problem with a fine discretization which produces a linear system with more than 6 million equations using up to 512 processors on the HPCx supercomputer.},
DOI = {10.3970/cmes.2009.049.191}
}