Difference between revisions of "FSPAI"

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* <b>SPAI</b>: Parallel Implementation on SPAI — Sparse Approximate Inverses:<br>http://www.computational.unibas.ch/software/spai/
 
* <b>SPAI</b>: Parallel Implementation on SPAI — Sparse Approximate Inverses:<br>http://www.computational.unibas.ch/software/spai/
 +
* <b>MSPAI</b>: Parallel implementation of MSPAI — Modified Sparse Approximate Inverses: <br>http://www5.in.tum.de/wiki/index.php/MSPAI
 
* <b>PARASAILS</b>: Parallel Sparse Approximate Inverse (Least-Squares) Preconditioner:<br>https://computation.llnl.gov/casc/parasails/parasails.html
 
* <b>PARASAILS</b>: Parallel Sparse Approximate Inverse (Least-Squares) Preconditioner:<br>https://computation.llnl.gov/casc/parasails/parasails.html
 
* <b>HYPRE</b>: Software on high performance preconditioners containing a PARASAILS module:<br>https://computation.llnl.gov/casc/linear_solvers/sls_hypre.html
 
* <b>HYPRE</b>: Software on high performance preconditioners containing a PARASAILS module:<br>https://computation.llnl.gov/casc/linear_solvers/sls_hypre.html

Revision as of 12:27, 12 July 2011

Factorized Sparse Approximate Inverses

This is a dummy textLatest release is 1.0


We developed a sequential and highly scalable parallel C/C++ implementation of the known FSPAI (Factorized SParse Approximate Inverses) algorithm.


Theory

Implementation and Features

Download

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