# 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

## Contents

__Factorized Sparse Approximate Inverses__

- This is a dummy text
**Latest 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

**SPAI**: Parallel Implementation on SPAI — Sparse Approximate Inverses:

http://www.computational.unibas.ch/software/spai/**MSPAI**: Parallel implementation of MSPAI — Modified Sparse Approximate Inverses:

http://www5.in.tum.de/wiki/index.php/MSPAI**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