Difference between revisions of "Detailed Release Announcement"

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== Chandrasekhar (ET_2010_11) ==
+
== Unnamed (ET_2016_11) ==
  
[text from release announcement]
+
'''NOTE: This release text is work in progress, meant for an upcoming release of the Einstein Toolkit, ''not'' of an already released version.'''
  
This release comprises the following tools, arrangements, and thorns. Each
+
We are pleased to announce the fourteenth release (code name "Unnamed") of the Einstein Toolkit, an open, community developed software infrastructure for relativistic astrophysics. This release includes, among other things, TODO. In addition, bug fixes accumulated since the previous release in May 2016 have been included.
tool/arrangement/thorn may have its own licencing conditions, but all are
 
available as open source. Green components are new in this release, shown in
 
red are components now not longer part of the Einstein Toolkit:
 
  
        Cactus                 Flesh
+
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. This includes CactusEinstein, the Carpet AMR infrastructure and the relativistic magneto-hydrodynamics codes GRHydro and IllinoisGRMHD. 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.
  
        CactusBase              Standard Cactus thorns
+
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, staff and faculty from six different institutions, and host weekly meetings that are open for anyone to join in.
        CactusConnect
 
        CactusElliptic
 
        <span style="color:#FF0000">CactusExternal</span>          Not part of the Einstein Toolkit anymore (use ExternalLibraries/libjpeg instead of jpeg6b)
 
        CactusIO
 
        CactusNumerical        <span style="color:#00FF00">new: InterpToArray</span>
 
        CactusPUGH
 
        CactusPUGHIO
 
        <span style="color:#00FF00">CactusTest</span>              Various Cactus testsuite thorns
 
        CactusUtils
 
        <span style="color:#00FF00">CactusWave</span>              Wavetoy example thorns
 
  
        ExternalLibraries      Interfaces to external libraries (<span style="color:#00FF00">new: OpenSSL, libjpeg</span>, several updates in other thorns)
+
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.
  
        Carpet                  Adaptive mesh refinement
+
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>.
  
        EinsteinAnalysis        Einstein Toolkit
+
The Einstein Toolkit is primarily supported by NSF 1212401/1212426/1212433/1212460 (Einstein Toolkit), and also by 0905046/0941653 (PetaCactus) and 0710874 (LONI Grid).
        EinsteinBase
 
        EinsteinEOS
 
        EinsteinEvolve
 
        EinsteinInitialData
 
        EinsteinUtils
 
  
        McLachlan              BSSN implementation
+
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 changes between this and the previous release include:
  
        TAT/TATelliptic        Various thorns
+
    Larger changes since last release
        AEIThorns/AEILocalInterp
 
        LSUThorns/QuasiLocalMeasures
 
        LSUThorns/SummationByParts
 
  
        Kranc                  Automated code generation
+
    How to upgrade from Brahe (ET_2016_05)
  
        GetComponents           Downloading tools and thorns
+
To upgrade from the previous release, use GetComponents with the new component list to check out the new version.
  
        SimFactory              Building code and running simulations
+
See the Download page on the Einstein Toolkit website for download instructions.
  
All repositories participating in this release carry a branch
+
    Remaining issues with this release
"ET_2010_11" marking this release.  These release branches will be
 
updated if severe errors are found.
 
  
 +
    Certain machines need to be configured specially in Simfactory because the remote directories cannot be determined automatically just from the user name. See the Machine notes below.
  
  
This release has been tested on the following systems and
+
== Older Releases ==
architectures:
 
  
        Workstations (Intel, Linux)
+
The final release information of older releases can be found [[http://einsteintoolkit.org/about/releases/ here]].
        MacBook Pro notebook (Intel, Mac OS X)
 
        Blue Drop, NCSA (Power 7, Linux)
 
        Damiana, AEI (Intel Woodcrest cluster, Linux)
 
        Kraken, NICS (Cray XT5, Linux)
 
        Philip, LSU (Intel cluster, Linux)
 
        Queen Bee, LONI (Intel cluster, Linux)
 
        Ranger, TACC (AMD cluster, Linux)
 
 
 
The Simulation Factory contains ready-to-use configuration details for
 
more than 20 additional systems, including most HPC systems at DOE,
 
LONI, TeraGrid, and RZG.
 
 
 
The Einstein Toolkit thorns contain 132 regression test cases.  While
 
all test cases pass on some systems, there are unfortunately also
 
some systems where certain test cases fail. We verified that this is
 
because of accumulation of floating-point round-off error in most
 
cases, and we will discuss this issue in a broader context in the near
 
future.
 
 
 
 
 
 
 
The Einstein Toolkit web site contains online documentation for its
 
thorns, and pointers for using it to build your own code.  There is
 
also a tutorial that explains how to download, build, and run the code
 
for a simple binary black hole evolution.  We invite you to join our
 
mailing list <users@einsteintoolkit.org>.
 
 
 
 
 
 
 
The changes between this and the previous release include (not complete):
 
* Several Libraries can now be build in parallel-make mode, increasing compile speed on some machines a lot.
 
* Several Libraries now clean up intermediate files, resulting sometimes in considerably less disk space usage per configuration.
 
* GRHydro includes (disabled, not finished) support for MHD. Don't try to use it yet, and don't get confused about that code.
 
* Several Libraries have been updated (ExternalLibraries)
 
* Simfactory received several updates, but this will likely be the last release with the Perl-version.
 
* The links in the Reference manual now work (again).
 
* A lot of other bugs and testsuites got fixed.
 
 
 
 
 
 
 
On behalf of the Einstein Toolkit Consortium: the "Chandrasekhar" Release Team
 
 
 
        Gabrielle Allen
 
        Eloisa Bentivegna
 
        Peter Diener
 
        Roland Haas
 
        Ian Hinder
 
        Frank Löffler
 
        Bruno Mundim
 
        Christian D. Ott
 
        Erik Schnetter
 
        Eric Seidel
 
        Michael Thomas
 
 
 
November 2?, 2010
 
 
 
== Bohr (ET_2010_06) ==
 
 
 
[text from release announcement]
 
 
 
 
 
 
 
This release comprises the following tools, arrangements, and thorns.  Each
 
tool/arrangement/thorn may have its own licencing conditions, but all are
 
available as open source:
 
 
 
        Cactus                  Flesh
 
 
 
        CactusBase              Standard Cactus thorns
 
        CactusConnect
 
        CactusElliptic
 
        CactusExternal
 
        CactusIO
 
        CactusNumerical
 
        CactusPUGH
 
        CactusPUGHIO
 
        CactusUtils
 
 
 
        ExternalLibraries      Interfaces to external libraries
 
 
 
        Carpet                  Adaptive mesh refinement
 
 
 
        EinsteinAnalysis        Einstein Toolkit
 
        EinsteinBase
 
        EinsteinEOS
 
        EinsteinEvolve
 
        EinsteinInitialData
 
        EinsteinUtils
 
 
 
        McLachlan              BSSN implementation
 
 
 
        TAT/TATelliptic        Various thorns
 
        AEIThorns/AEILocalInterp
 
        LSUThorns/QuasiLocalMeasures
 
        LSUThorns/SummationByParts
 
 
 
        Kranc                  Automated code generation
 
 
 
        GetComponents          Downloading tools and thorns
 
 
 
        SimFactory              Building code and running simulations
 
 
 
All repositories participating in this release carry a branch
 
"ET_2010_06" marking this release.  These release branches will be
 
updated if severe errors are found.
 
 
 
 
 
 
 
This release has been tested on the following systems and
 
architectures:
 
 
 
        Workstations (Intel, Linux)
 
        MacBook Pro notebook (Intel, Mac OS X)
 
        Blue Drop, NCSA (Power 7, Linux)
 
        Damiana, AEI (AMD cluster, Linux)
 
        Kraken, NICS (Cray XT5, Linux)
 
        Philip, LSU (Intel cluster, Linux)
 
        Queen Bee, LONI (Intel cluster, Linux)
 
        Ranger, TACC (AMD cluster, Linux)
 
 
 
The Simulation Factory contains ready-to-use configuration details for
 
more than 20 additional systems, including most HPC systems at DOE,
 
LONI, TeraGrid, and RZG.
 
 
 
The Einstein Toolkit thorns contain 89 regression test cases.  While
 
all test cases pass on important systems, there are unfortunately also
 
some systems where certain test cases fail.  We verified that this is
 
because of accumulation of floating-point round-off error in most
 
cases, and we will discuss this issue in a broader context in the near
 
future.
 
 
 
 
 
 
 
The Einstein Toolkit web site contains online documentation for its
 
thorns, and pointers for using it to build your own code.  There is
 
also a tutorial that explains how to download, build, and run the code
 
for a simple binary black hole evolution.  We invite you to join our
 
mailing list <users@einsteintoolkit.org>.
 
 
 
 
 
 
 
On behalf of the Einstein Toolkit Consortium: the "Bohr" Release Team
 
 
 
        Gabrielle Allen
 
        Eloisa Bentivegna
 
        Tanja Bode
 
        Peter Diener
 
        Roland Haas
 
        Ian Hinder
 
        Frank Loeffler
 
        Bruno Mundim
 
        Erik Schnetter
 
        Eric Seidel
 
 
 
June 17, 2010
 

Latest revision as of 07:34, 26 September 2016

Unnamed (ET_2016_11)

NOTE: This release text is work in progress, meant for an upcoming release of the Einstein Toolkit, not of an already released version.

We are pleased to announce the fourteenth release (code name "Unnamed") of the Einstein Toolkit, an open, community developed software infrastructure for relativistic astrophysics. This release includes, among other things, TODO. 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. This includes CactusEinstein, the Carpet AMR infrastructure and the relativistic magneto-hydrodynamics codes GRHydro and IllinoisGRMHD. 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, staff 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 1212401/1212426/1212433/1212460 (Einstein Toolkit), and also by 0905046/0941653 (PetaCactus) and 0710874 (LONI Grid).

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 changes between this and the previous release include:

   Larger changes since last release
   How to upgrade from Brahe (ET_2016_05)

To upgrade from the previous release, use GetComponents with the new component list to check out the new version.

See the Download page on the Einstein Toolkit website for download instructions.

   Remaining issues with this release
   Certain machines need to be configured specially in Simfactory because the remote directories cannot be determined automatically just from the user name. See the Machine notes below.


Older Releases

The final release information of older releases can be found [here].