9–11 May 2007
Manchester, United Kingdom
Europe/Zurich timezone

Ganga - an Optimiser and Front-End for Grid Job Submission

9 May 2007, 17:30
2h 30m
Manchester, United Kingdom

Manchester, United Kingdom

Board: P-023
poster Interactivity and Portals Poster and Demo Session

Speaker

Dr Andrew Maier (CERN)

Describe the scientific/technical community and the scientific/technical activity using (planning to use) the EGEE infrastructure. A high-level description is needed (neither a detailed specialist report nor a list of references).

The presentation will introduce the Ganga job-management system
(http://cern.ch/ganga), developed as an ATLAS-
LHCb common project. The main goal of Ganga is to provide a
simple and consistent way of preparing, organising
and executing analysis tasks, allowing physicists to concentrate
on the algorithmic part without having to worry
about techical details.

With a forward look to future evolution, discuss the issues you have encountered (or that you expect) in using the EGEE infrastructure. Wherever possible, point out the experience limitations (both in terms of existing services or missing functionality)

Ganga is a higher-level Grid tool and therefore tries to
circumvent typical problems when submitting jobs to the
Grid, easing the user experience. Ganga has a plug-in mechanism,
so that it can be highly customised to suit the
needs of a given user community.

Describe the added value of the Grid for the scientific/technical activity you (plan to) do on the Grid. This should include the scale of the activity and of the potential user community and the relevance for other scientific or business applications

Ganga provides a clean Python API that reduces and simplifies the
work involved in preparing an application,
organizing the submission, and gathering results. Technical
details of submitting a job to the Grid, for example the
preparation of a job-description file, are factored out and taken
care of transparently by the systems. By changing
the parameter that identifies the execution back-end, a user can
trivially switch between running an application on
a portable PC, running higher-statistics tests on a local batch
system, and analysing all available statistics on the
Grid.

Report on the experience (or the proposed activity). It would be very important to mention key services which are essential for the success of your activity on the EGEE infrastructure.

Although Ganga is being developed for LHCb and ATLAS, it is not
limited to use with HEP applications, and already
has several non-HEP users. These include users on projects in
bio-medicine, engineering, and (Grid) software
testing.

Author

Dr Andrew Maier (CERN)

Co-authors

Mr Adrian Muraru (CERN) Dr Alexander Soroko (University of Oxford)) Dr Benjamin Gaidioz (CERN) Birger Koblitz (CERN) Mr Chun Lik Tan (University of Birmingham) Dr Dietrich Liko (CERN) Mr Frederic Brochu (University of Cambridge) Mr Hurng-Chun Lee (ASGC, Taipei and CERN) Mr Jakub Mosckicki (CERN) Dr Johannes Elmsheuser (Ludwig-Maximilians-Universität, München) Mr Karl Harrison (High Energy Physics Group, Cavendish Laboratory) Dr Ulrik Egede (Imperial College London) Mr Vladimir Romanovsky (State Res.Center of Russian Feder. Inst.f.High Energy Phys. (IFVE))

Presentation materials

There are no materials yet.