JUBE Benchmarking Environment Copyright (C) 2008-2022 Forschungszentrum Juelich GmbH, Juelich Supercomputing Centre http://www.fz-juelich.de/jsc/jube

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

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Prerequisites

JUBE version 2 is written in the Python programming language.

You need Python 3.2 (or a higher version) to run the program.

JUBE is not compatible to Python2.x any longer.

Installation

After download, unpack the distribution file JUBE-<version>.tar.gz with:

tar -xf JUBE-<version>.tar.gz

You can install the files to your $HOME/.local directory by using:

cd JUBE-<version>
python setup.py install --user

$HOME/.local/bin must be inside your $PATH environment variable to use JUBE in an easy way.

Instead you can also specify a self defined path prefix:

python setup.py install --prefix=<some_path>

You might be asked during the installation to add your path (and some subfolders) to the $PYTHONPATH environment variable (this should be stored in your profile settings):

export PYTHONPATH=<needed_path>:$PYTHONPATH

Another option is to use pip[3] for installation (including download):

pip3 install http://apps.fz-juelich.de/jsc/jube/jube2/download.php?version=latest --user
# or
pip3 install http://apps.fz-juelich.de/jsc/jube/jube2/download.php?version=latest --prefix=<some_path>

In addition it is useful to also set the $PATH variable again.

To check the installation you can run:

jube --version

Without the --user or --prefix argument, JUBE will be installed in the standard system path for Python packages.

Acknowledgments

We gratefully acknowledge the following reserach projects and institutions for their support in the development of JUBE2 and granting compute time to develop JUBE2.

• UNSEEN (BMWi project, ID: 03EI1004A-F)
• Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) and the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUWELS at Jülich Supercomputing Centre (JSC)

Furthermore, we gratefully acknowledge all the people and institutions having contributed to this project with their expertise, time and passion in any way. A subset of these people and institutions can be found within the AUTHORS file.

Further Information

For further information please see the documentation: http://www.fz-juelich.de/jsc/jube

Contact: [email protected]