The PFASST project is a C++ implementation of the parallel full approximation scheme in space and time (PFASST) algorithm, which in turn is a time-parallel algorithm for solving ODEs and PDEs. It also contains basic implementations of the spectral deferred correction (SDC) and multi-level spectral deferred correction (MLSDC) algorithms.
June 01, 2015: PFASST v0.5.0 release. Please see the release notes for more information.
April 17, 2015: PFASST v0.4.0 release. Please see the release notes for more information.
December 12, 2014: PFASST v0.3.0 release. Please see the release notes for more information.
August 29, 2014: PFASST v0.2.0 release. Please see the release notes for more information.
July 25, 2014: PFASST v0.1.0 released. Please see the release notes for more information.
See \subpage #citelist .
Doxygen generated documentation can be found on the PinT server. Currently, it features the following content:
v0.5.0 The MPI Bugfix Release (2015/06/01)
A few important fixes to MPI behaviour.
DOI: 10.6084/m9.figshare.1431794.
See the Changelog for details.
v0.4.0 The Big Improvement (2015/04/17)
A bunch of improvements and usability enhancements.
DOI: 10.6084/m9.figshare.1381721.
See the Changelog for details.
v0.3.0 The Big Cleanup Release (2014/12/12)
A lot of internal cleanup and usability enhancements.
DOI: 10.5281/zenodo.13221.
See the Changelog for details.
v0.2.0 MPI-PFASST Release (2014/08/29)
Implementation of PFASST with MPI.
DOI: 10.5281/zenodo.11517.
See the Changelog for details.
v0.1.0 First Release (2014/07/25)
Initial release with basic implementations of SDC and MLSDC.
DOI: 10.5281/zenodo.11047.
See the Changelog for details.
Release tags will be signed by one of the following PGP keys:
0xAD9F8DC6 2014-12-12 Torbjörn Klatt <t.klatt@fz-juelich.de>
Fingerprint 6277 E9D9 7AA2 DBBE 5DE7 7498 756B F4D7 AD9F 8DC6
1024D/9950EF2E 2001-11-22 Matthew Emmett <matt@emmett.ca>
Fingerprint B09C 1425 1C47 B58E B3AC 2E74 6F22 8460 9950 EF2E
Branch | Status | Details |
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Master | Jenkins Job | |
Development | Jenkins Job |
Results of static code analysis such as test coverage or SLOCcount metrics can be found at this Jenkins job. Further metrics can be found on Open Hub aka Ohloh.