On the peculiarities of solving large systems of linear algebraic
Numerical methods and programming, Tome 12 (2011) no. 1, pp. 176-182
Voir la notice de l'article provenant de la source Math-Net.Ru
The results of testing a set of the Krylov subspace iterative methods
(CGS, BiCGStab) with algebraic multigrid preconditioner for solving large
sparse systems of linear algebraic equations are discussed. The scalability
characteristics for the MPI and hybrid versions of the code on three
HPC-systems are given. The peculiarities of using these methods on computer
systems of different processor architecture (Intel Harpertown, Intel Nehalem,
and AMD Magny-Cours) are analyzed.
Keywords:
iterative methods; systems of linear algebraic equations; scalability.
@article{VMP_2011_12_1_a21,
author = {B. I. Krasnopolsky},
title = {On the peculiarities of solving large systems of linear algebraic},
journal = {Numerical methods and programming},
pages = {176--182},
publisher = {mathdoc},
volume = {12},
number = {1},
year = {2011},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VMP_2011_12_1_a21/}
}
B. I. Krasnopolsky. On the peculiarities of solving large systems of linear algebraic. Numerical methods and programming, Tome 12 (2011) no. 1, pp. 176-182. http://geodesic.mathdoc.fr/item/VMP_2011_12_1_a21/