Study of Parallel Linear Solvers for Three-Dimensional Subsurface Flow Problems

Authors:
Hung V. Nguyen;Jing-Ru C. Cheng;Robert S. Maier
Affiliations:
U.S. Army Engineer Research and Development Center, Major Shared Resource Center, Vicksburg, MS 39180-6199;U.S. Army Engineer Research and Development Center, Major Shared Resource Center, Vicksburg, MS 39180-6199;U.S. Army Engineer Research and Development Center, Major Shared Resource Center, Vicksburg, MS 39180-6199
Venue:
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Year:
2009

Citing 3
Cited 0

Applied numerical linear algebra

Applied numerical linear algebra
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Performance evaluation of a new parallel preconditioner

IPPS '95 Proceedings of the 9th International Symposium on Parallel Processing

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Abstract

The performance of an iterative method for solving a system of linear equations depends on the structure of the system to be solved and on the choice of iterative solvers in combination with preconditioners. In this paper, the performance of a specified set of linear solvers and preconditioners provided by PETSc and Hypre is evaluated based on three data sets from subsurface finite element flow models. The results show that simple preconditioners are robust but do not enable convergence behavior that scales with problem size. They also show that it is important to choose an appropriate type of solver for different kind of simulations.