[Users] New Einstein Toolkit Release (Lorentz)

Zach Etienne zachetie at gmail.com
Mon May 31 12:45:46 CDT 2021


Release Announcement

Click here to read the announcement in HTML (with hyperlinks):
https://einsteintoolkit.org/about/releases/ET_2021_05_announcement.html

We are pleased to announce the twenty-second release (code name
"Lorentz") of the Einstein Toolkit, an open-source, community developed
software infrastructure for relativistic astrophysics. The highlights of
this release include:

 * POWER, a Python package to post-process the data products of
   simulations to compute the gravitational wave strain at future
   null infinity.
 * Simfactory is now fully compatible with Python 2 or 3.

In addition, bug fixes accumulated since the previous release in
November 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

 * Vectors: Provide arithmetic operations that mix vector and scalar
   arguments
 * TestLoop: Use OpenMP and OpenMP macros
 * GetComponents: Add --no-update option
 * CarpetIOHDF5: Improve assertions infrastructure
 * TestLoopControl: Add OpenMP code to test
 * simfactory2: Many machine configurations updated and modernized
 * VolumeIntegrals_vacuum: Add ADM (mass/momentum/angular momentum)
   integrands
 * VolumeIntegrals_vacuum & VolumeIntegrals_GRMHD: Add documentation
 * ID_converter_ILGRMHD: Fix option that perturbs initial data
 * Llama: Re-allow interpatch boundary interpolation for all
   Thornburg04
 * Cactus: Add CUDA support, fix various compilation issues on modern
   compilers, fill in missing documentation
 * EinsteinAnalysis and CactusBase thorns: Improve and fix
   documentation

Contributors

This release includes contributions by Gabriele Bozzola, Steven R.
Brandt, Brockton Brendal, Zachariah Etienne, Roland Haas, E. A. Huerta,
Daniel Johnson, David Radice, Erik Schnetter, and Leonardo Werneck.

How to upgrade from DeWitt-Morette (ET_2020_11)

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_2021_05

will update the code.

Machine notes

Supported (tested) machines include:

 * Default Debian, Ubuntu, Fedora, CentOS 7, Mint, OpenSUSE and MacOS
   Catalina (MacPorts) installations
 * Bluewaters
 * Comet
 * Cori
 * Graham
 * Frontera
 * Mike / Shelob
 * Queen Bee 2
 * Queen Bee 3
 * Stampede 2
 * SuperMUC-NG
 * Summit
 * Wheeler

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
   the machine.
 * 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
   machine.

All repositories participating in this release carry a branch ET_2021_05
marking this release. These release branches will be updated if severe
errors are found.

The "Lorentz" Release Team on behalf of the Einstein Toolkit Consortium
(2021-05-31)

 * Zachariah B. Etienne
 * Roland Haas
 * Steven R. Brandt
 * William E. Gabella
 * Peter Diener
 * Atul Kedia
 * Miguel Gracia

May, 2021
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