FSPAI

Factorized Sparse Approximate Inverses

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

Authors

• Thomas Huckle
• Matous Sedlacek

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