We are pleased to announce the fourteenth release (code name "Payne-Gaposchkin") of the Einstein Toolkit, an open, community developed software infrastructure for relativistic astrophysics. The highlights of this release are:
In addition, bug fixes accumulated since the previous release in May 2016 have been included.
The Einstein Toolkit is a collection of software components and tools for simulating and analyzing general relativistic astrophysical systems that builds on numerous software efforts in the numerical relativity community including CactusEinstein, the Carpet AMR infrastructure and the relativistic magneto-hydrodynamics code GRHydro. For parts of the toolkit, the Cactus Framework is used as the underlying computational infrastructure providing large-scale parallelization, general computational components, and a model for collaborative, portable code development. The toolkit includes modules to build complete codes for simulating black hole spacetimes as well as systems governed by relativistic magneto-hydrodynamics.
The Einstein Toolkit uses a distributed software model and its different modules are developed, distributed, and supported either by the core team of Einstein Toolkit Maintainers, or by individual groups. Where modules are provided by external groups, the Einstein Toolkit Maintainers provide quality control for modules for inclusion in the toolkit and help coordinate support. The Einstein Toolkit Maintainers currently involve postdocs and faculty from six different institutions, and host weekly meetings that are open for anyone to join in.
Guiding principles for the design and implementation of the toolkit include: open, community-driven software development; well thought out and stable interfaces; separation of physics software from computational science infrastructure; provision of complete working production code; training and education for a new generation of researchers.
For more information about using or contributing to the Einstein Toolkit, or to join the Einstein Toolkit Consortium, please visit our web pages at http://einsteintoolkit.org.
The Einstein Toolkit is primarily supported by NSF 1550551/1550461/1550436/1550514 (Einstein Toolkit Community Integration and Data Exploration).
The Einstein Toolkit contains about 200 regression test cases. On a large portion of the tested machines, almost all of these test suites pass, using both MPI and OpenMP parallelization.
The Tmunu parameter support_old_CalcTmunu_mechanism, will be removed after this release. If you rely on this, your code is probably unnecessarily slow. Let us know if the removal would create a problem for you.
Most of the Fortran code in GRHydro was already replaced by more modern, and much easier to maintain C++ code. Up to now, both versions are compiled, and can be chosen at start-time. For a few releases the C++ versions are the default. After this release, the Fortran versions will be removed. Let us know if the removal would create a problem for you.
To upgrade from the previous release, use GetComponents with the new thornlist to check out the new version.
See the Download page on the Einstein Toolkit website for download instructions.
Supported (tested) machines include:
All repositories participating in this release carry a branch ET_2016_11 marking this release. These release branches will be updated if severe errors are found.
The "Payne-Gaposchkin" Release Team on behalf of the Einstein Toolkit Consortium (2016-12-16)
Steven R. Brandt
December 16th, 2016