Abstract
A parallel version of the algebraic recursive multilevel solver (ARMS) is developed for distributed computing environments. The method adopts the general framework of distributed sparse matrices and relies on solving the resulting distributed Schur complement system. Numerical experiments are presented which compare these approaches on regularly and irregularly structured problems.
Original language | English (US) |
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Pages (from-to) | 485-509 |
Number of pages | 25 |
Journal | Numerical Linear Algebra with Applications |
Volume | 10 |
Issue number | 5-6 |
DOIs | |
State | Published - Jan 1 2003 |
Keywords
- Distributed sparse linear systems
- Domain decomposition
- Multigrid
- Multilevel ILU preconditioner
- Parallel preconditioning
- Schur complement preconditioner