FSPAI
Factorized Sparse Approximate Inverses
- This is a dummy textLatest release is 1.0
We developed a highly scalable sequential and parallel implementation of the
known FSPAI (Factorized SParse Approximate Inverses) algorithm.
Theory
Implementation and Features
Download
Some Theses on MSPAI
Tested environments
Some References
Authors
License
FSPAI: Factorized Sparse Approximate Inverses
Copyright © 2010-2011, Matous Sedlacek
Research Unit Scientific Computing in Computer Science - Informatics V
Technische Universität München
This program is free software: you can redistribute it and/or modify
it under the
terms of the GNU Lesser General Public License as published by
the Free Software
Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY
WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR
A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with
this program. If not, see http://www.gnu.org/licenses/.
If you obtain any results with FSPAI we would appreciate that you refer to FSPAI.
Further work on Sparse Approximate Inverses
- SPAI: Parallel Implementation on SPAI — Sparse Approximate Inverses:
http://www.computational.unibas.ch/software/spai/ - PARASAILS: Parallel Sparse Approximate Inverse (Least-Squares) Preconditioner:
https://computation.llnl.gov/casc/parasails/parasails.html - HYPRE: Software on high performance preconditioners containing a PARASAILS module:
https://computation.llnl.gov/casc/linear_solvers/sls_hypre.html