[Users] The Twenty-Ninth Release of the Einstein Toolkit

[Roland Haas]

Release Announcement

Click here to read the announcement in HTML (with hyperlinks):
https://einsteintoolkit.org/about/releases/ET_2024_11_announcement.html

We are pleased to announce the twenty-ninth release (code name "Annie
Jump Cannon") of the Einstein Toolkit, an open-source,
community-developed software infrastructure for relativistic
astrophysics. The major changes in this release include:

One new thorn has been added:

 * TOVola -- solves the Tolman-Oppenheimer-Volkov equations for
   simple polytropes, piecewise polytropes, and tabulated equations
   of state.

Updated thorns:

 * CarpetX -- many updates and new functionality
 * GRHayL -- support WENO5 reconstruction

In addition, bug fixes accumulated since the previous release have been
included.

The Einstein Toolkit is a collection of software components and tools
for simulating and analyzing general relativistic astrophysical systems.
It builds on numerous software efforts in the numerical relativity
community, including codes 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 GRHayLHD, GRHayLHDX, GRHydro, and IllinoisGRMHD. Data analysis and
post-processing are handled by the kuibit library. 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. 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 ensure quality control for modules included 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 to anyone.

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
2004157/2004044/2004311/2004879/2003893/2114582/2227105 (Enabling
fundamental research in the era of multi-messenger astrophysics).

The Einstein Toolkit contains about 400 regression test cases. On a
large portion of the tested machines, almost all of these tests pass,
using both MPI and OpenMP parallelization.

Contributors

Among the many contributors to the Einstein Toolkit and to this release
in particular, important contributions to new and existing components
were made by the following authors:

 * David Boyer
 * Erik Schnetter
 * Leonardo Werneck
 * Liwei Ji
 * Samuel Cupp
 * Steven R. Brandt
 * Terrence Pierre Jacques
 * Zachariah Etienne

How to upgrade from Launda Release (ET_2024_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_2024_11

will update the code.

To install Kuibit, do the following:

pip install --user -U kuibit==1.5.0

Machine notes

Supported (tested) machines include:

 * Debian, Ubuntu, Fedora, Mint, OpenSUSE, and macOS installations
   with dependencies installed as prescribed in the official
   installation instructions
 * Anvil
 * Deep Bayou
 * Delta
 * Expanse
 * Frontera
 * Queen Bee 3 and 4
 * Stampede 3
 * Sunrise
 * Supermike

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.

All repositories participating in this release carry a branch ET_2024_11
marking this release. These release branches will be updated if severe
errors are found.

The "Annie Jump Cannon" Release Team on behalf of the Einstein Toolkit
Consortium (2024-11-29)

 * Roland Haas
 * Maxwell Rizzo
 * David Boyer
 * Domenica Garzon
 * Bing-Jyun Tsao
 * Lucas Timotheo Sanches
 * Peter Diener
 * Steven R. Brandt

November 29, 2024