Execo On G5K: Difference between revisions
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{{Author|Florent Chuffart}} | {{Author|Florent Chuffart}} | ||
{{Author|Matthieu Imbert}} | {{Author|Matthieu Imbert}} | ||
{{Author|Laurent Pouilloux}} | |||
{{Maintainer|Florent Chuffart}} | {{Maintainer|Florent Chuffart}} | ||
{{Maintainer|Matthieu Imbert}} | {{Maintainer|Matthieu Imbert}} | ||
{{ | {{Maintainer|Laurent Pouilloux}} | ||
Execo offers a Python API to manage processes execution. It is well | |||
suited for quick and easy creation of reproducible experiments on | |||
distributed hosts. It is a huge improvement over using shell script | |||
for experiment development. | |||
It offers: | |||
* Asynchronous control of local and remote commands. | |||
* Efficient and scalable execution (transparent usage of Taktuk). | |||
* Interaction with Grid'5000 resources (planning, submission, deployment, API). | |||
* Tools for rapid development of reproducible experiments. | |||
==Installation== | |||
Connect on a frontend and use easy_install: | |||
{{Term|location=frontend|cmd=<code class="command">easy_install</code> --user execo}} | |||
Configure your path in .bashrc: | |||
export PATH="$HOME/.local/bin${PATH:+:${PATH}}" | |||
Create a .execo.conf.py in your home directory if you need some specific | |||
[http://execo.gforge.inria.fr/doc/execo_g5k.html#execo-g5k-configuration configuration] | |||
==Usage== | |||
===Process management=== | |||
===Working with G5K=== | |||
===Automating experiments=== | |||
==Documentation== | |||
Up-to-date documentation is available on [http://execo.gforge.inria.fr/doc/userguide.html#execo User Guide]. | |||
== | |||
Revision as of 10:43, 28 February 2014
Execo offers a Python API to manage processes execution. It is well
suited for quick and easy creation of reproducible experiments on
distributed hosts. It is a huge improvement over using shell script
for experiment development.
It offers:
- Asynchronous control of local and remote commands.
- Efficient and scalable execution (transparent usage of Taktuk).
- Interaction with Grid'5000 resources (planning, submission, deployment, API).
- Tools for rapid development of reproducible experiments.
Installation
Connect on a frontend and use easy_install:
Configure your path in .bashrc:
export PATH="$HOME/.local/bin${PATH:+:${PATH}}"
Create a .execo.conf.py in your home directory if you need some specific configuration
Usage
Process management
Working with G5K
Automating experiments
Documentation
Up-to-date documentation is available on User Guide.