[Users] New Einstein Toolkit Release (DeWitt-Morette)
rhaas at illinois.edu
Mon Nov 30 12:08:24 CST 2020
Click here to read the announcement in HTML (with hyperlinks):
We are pleased to announce the twenty-first release (code name
"DeWitt-Morette") of the Einstein Toolkit, an open-source, community
developed software infrastructure for relativistic astrophysics. The
highlights of this release are:
* This release includes NRPyPN, a Python code to compute initial
data parameters for binary black hole simulations.
* Lean_Public supports curvilinear coordinates provided by Llama.
* The include style ("old") Tmunu interface using thorn ADMCoupling
has been removed.
One new thorn has been added:
* ReadInterpolate, a FileReader like thorn that uses
InterolateLocalUniform to interpolate the data read in onto the
In addition, bug fixes accumulated since the previous release in May
2020 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 code to compute initial data parameters, the
spacetime evolution codes Baikal, lean_public, and McLachlan, analysis
codes to compute horizon characteristics and gravitational waves, the
Carpet AMR infrastructure, and the relativistic magneto-hydrodynamics
codes GRHydro and IllinoisGRMHD. The Einstein Toolkit also contains a 1D
self-force code. 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 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 staff and faculty from five different institutions,
and host weekly meetings that are open for anyone to join.
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, or contact the users mailing
list users at einsteintoolkit.org.
The Einstein Toolkit is primarily supported by NSF
2004157/2004044/2004311/2004879/2003893 (Enabling fundamental research
in the era of multi-messenger astrophysics).
The Einstein Toolkit contains about 327 regression test cases. On a
large portion of the tested machines, almost all of these tests pass,
using both MPI and OpenMP parallelization.
The changes between this and the previous release include:
Larger changes since last release
* Fully support gcc / gfortran 10
* ExternalLibraries support PAPI version 6
* Testsuite harness supports running multiple tests in parallel
* Fix accidentally removed caching in Piaraha
* Documentation uses mathjax when creating HTML docs
* Cactus now checks that parameter types declared in USE and EXTEND
* Build system correctly propagates VERBOSE=no to sub-makes in make
version 4.3 and newer
* All tests that used to use ADMConstraints now use
* Thorn Vectors supports POWER9 cpus used in Summit
* Correct long standing read-after-free bug in Carpet's
* Correct outputting non-gridfunction data in CarpetIOHDF5
* Implement correct "midpoint" rule in thorn Multipole
* Fix interaction between thorn NewRad and Cartoon2D
* All example parameter files include thorn SystemTopology
* Support Python3 in GW150914 example parameter file
* Support wide outer boundaries in lean_public and Baikal
* Work around slow compilation with new gcc in Baikal
The following features are being marked as deprecated in this release
and will be removed in the next release
* The "old" (include file based) interface to Tmunu provided by
ADMCoupling is no longer included.
* Non-piraha parser has been removed from CST.
* ADMCoupling and ADMMacros will be removed in the next release
* READS / WRITES statements that refer to non-existing variables
cause compile time errors and are no longer ignored at runtime
even if `presync_mode = off`
This release includes contributions by Steven R. Brandt, Federico
Cipolletta, Matthew Elley, Zachariah Etienne, Roland Haas, Ian Hinder,
Jonah Miller, Erik Schnetter, Barry Wardell, Helvi Witek , and Miguel
How to upgrade from Turing (ET_2020_05)
To upgrade from the previous release, use GetComponents with the new
thornlist to check out the new version.
See the Download page (http://einsteintoolkit.org/download.html) on the
Einstein Toolkit website for download instructions.
The SelfForce-1D code uses a single git repository, thus using `git pull
; git checkout ET_2020_11` will update the code.
Supported (tested) machines include:
* Default Debian, Ubuntu, Fedora, CentOS 7, Mint, OpenSUSE and MacOS
Catalina (MacPorts) installations
* Queen Bee 2
* Stampede 2
* Mike / Shelob
Note for individual machines:
* TACC machines: defs.local.ini needs to have `sourcebasedir =
$WORK` and `basedir = $SCRATCH/simulations` configured for this
machine. You need to determine $WORK and $SCRATCH by logging in to
* SuperMUC-NG: defs.local.ini needs to have `sourcebasedir = $HOME`
and `basedir = $SCRATCH/simulations` configured for this machine.
You need to determine $HOME and $SCRATCH by logging in to the
All repositories participating in this release carry a branch ET_2020_11
marking this release. These release branches will be updated if severe
errors are found.
The "DeWitt-Morette" Release Team on behalf of the Einstein Toolkit
* Roland Haas
* Steven R. Brandt
* Rahime Matur
* Beyhan Karakas
* William E. Gabella
* Miguel Gracia
More information about the Users