[Users] New Einstein Toolkit Release (Riemann)

[Yosef Zlochower]

Release Announcement

Click here to read the announcement in HTML (with hyperlinks):
https://einsteintoolkit.org/about/releases/ET_2022_05_announcement.html

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


  * Long-standing default parameters issues were fixed.
  * Support for CareptX included in the Cactus Flesh.
  * Parts of Carpet re-written with modern C++.
  * When using either g++ or icpc, gcc version 6 or higher is now
    required.

In addition, bug fixes accumulated since the previous release in
November 2021 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.

Contributors

This release includes contributions by
  * Maria C. Babiuc Hamilton
  * Gabriele Bozzola
  * Steven R. Brandt
  * Zachariah B. Etienne
  * William E. Gabella
  * Roland Haas
  * Wolfgang Kastaun
  * Patrick Nelson
  * Erik Schnetter
  * Ken Sible
  * Leonardo Werneck

How to upgrade from Johnson Release (ET_2021_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_2022_05

will update the code.

To install Kuibit, do the following:

pip install --user -U kuibit==1.3.4

Machine notes

Supported (tested) machines include:

  * Default Debian, Ubuntu, Fedora, CentOS, Mint, OpenSUSE and MacOS
    Monterey (MacPorts) installations
  * Expanse
  * Queen Bee 2
  * Queen Bee 3
  * Stampede 2
  * Sunrise
  * SuperMUC-NG
  * Summit

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_2022_05
marking this release. These release branches will be updated if severe
errors are found.

The "Bernhard Riemann" Release Team on behalf of the Einstein Toolkit
Consortium (2022-05-31)

  * Yosef Zlochower,
  * Steven R. Brandt,
  * Peter Diener,
  * William E. Gabella,
  * Miguel Gracia-Linares,
  * Roland Haas,
  * Atul Kedia

May 29, 2022