Feb 11 – 14, 2008
<a href="http://www.polydome.org">Le Polydôme</a>, Clermont-Ferrand, FRANCE
Europe/Zurich timezone

Ganga - powerful job submission and management tool

Feb 12, 2008, 4:00 PM
Exhibition Hall (<a href="http://www.polydome.org">Le Polydôme</a>, Clermont-Ferrand, FRANCE)

Exhibition Hall

<a href="http://www.polydome.org">Le Polydôme</a>, Clermont-Ferrand, FRANCE

Demonstration Demonstrations


Dr Adrian Muraru (CERN IT) Dr Andrew Maier (CERN IT) Dr Hurng-Chun Lee (CERN IT) Dr Jakub Moscicki (CERN IT) Dr Patricia Mendez Lorenzo (CERN IT)


Ganga has already gained widespread use, the incomplete list of applications using Ganga include: Imaging processing and classification (developed by Cambridge Ontology Ltd.), Theoretical physics (Lattice QCD, Feynman-loop evaluation), Bio-informatics (Avian Flu Data Challenge), Geant4 (Monte Carlo package), HEP data analysis (ATLAS, LHCb). All these communities have different goals and requirements and the main challenge is the creation of a standard and general software infrastructure for the immersion of these communities onto the Grid. This general infrastructure is effectively "shielding" the applications from the details of the Grid. Finally, it is flexible and general enough to match the requirements of the different productions without including mayor changes in the design of the tool. Ganga supports a large number of backends without the underlying knowledge of each one: EGEE gLite and NorduGrid ARC middlewares, Condor and Cronus (Condor/G), various batch systems, etc

4. Conclusions / Future plans

Ganga has demonstrated to be a powerful job submission tool able to allow a fast merge of any new community onto the Grid. Its value has been demonstrated also by HEP communities that
have adopted Ganga as the submission tool for their productions. In the new phase of the EGEE project the fast immersion of new communities will continue being a central goal and we will continue working for the confirmation of Ganga as the gridification tool for new communities.

1. Short overview

The computational and storage capability of the Grid are attracting several research communities, also beyond HEP. Ganga is a lightweight Grid job management tool developed at CERN. It is a key component in the distributed Data Analysis for ATLAS and LHCb. Ganga`s open and general framework allows to plug-in applications, which has attracted users from other domains outside HEP. In addition, Ganga interfaces to a variety of Grid and non-Grid backends using the same, simple end-user interface

3. Impact

From January to end of 2007 Ganga has been used by around 1000 users and has been installed locally in more than 50 sites around the world. Recently also the educative aspect of Ganga has been recognized and Ganga has become a part of the official EGEE tutorials. Contrary to other portals or tools, Ganga is not limited to specific VOs or infrastructures allowing new users to quickly exploit the EGEE infrastructure. It also allows for the interoperability of various Grid backends.

Provide a set of generic keywords that define your contribution (e.g. Data Management, Workflows, High Energy Physics)

job submission, job management, user interface, interoperability, applications

If demonstration is requested please explain what visual or interactive aspects of the contribution necessitate a demonstration rather than a presentation or poster?

We will show how an application is gridified and how a user can immediately profit from the Grid using Ganga. We demonstrate application cases outside of the initial scope of High energy Physics in which the tool has been developed. The demo will show the ease of this transition from the traditional submission, running on single machines or a local batch cluster to running on the full EGEE infrastructure, using a concrete example from Lattice QCD

Primary authors

Dr Adrian Muraru (CERN IT) Dr Andrew Maier (CERN IT) Dr Hurng-Chun Lee (CERN IT) Dr Jakub Moscicki (CERN IT) Dr Massimo Lamanna (CERN IT) Dr Patricia Mendez Lorenzo (CERN IT)

Presentation materials

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