ARPACK, PARPACK
ARnoldi PACKage, developed at Rice University
PARPACK, a part of the ScaLAPACK project, is an extension of the ARPACK software package used for solving large scale eigenvalue problems on distributed memory parallel architectures. The message passing layers currently supported
are BLACS and MPI.
last change 24.02.2011 |
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ARnoldi PACKage, developed at Rice University
ARPACK is a collection of Fortran77 subroutines designed to solve large scale
eigenvalue problems.
PARPACK is a parallel version of ARPACK for distributed memory parallel architectures.
Important Features
| Reverse communication interface | |
| Single and double precision real arithmetic versions for symmetric, non-symmetric, standard or generalized problems | |
| Single and double precision complex arithmetic versions for standard or generalized problems | |
| Routines for banded matrices - standard or generalized problems | |
| Routines for The Singular Value Decomposition | |
| Example driver routines that may be used as templates to implement numerous shift-invert strategies for all problem types, data types and precision |
| Version 2.1 | |
| Availability: Public domain software, Object code library on JUROPA and JUGENE Source code available |
Access and Usage at FZJ
ARPACK
PARPACK
Information and Documentation
| ARPACK Users' Guide | |
| Introductory overview Implicitly restarted Arnold/Lanczos methods for large scale eigenvalue calculations | |
| More detailed information about Parallel ARPACK | |
| Deflation Techniques for an implicitly restarted Arnoldi iteration | |
| ARPACK and |
last change 24.02.2011 |
