Distributed Grid Analysis using the Ganga job management system

Johannes Elmsheuser
LMU Munich

I will introduce the Ganga job-management system (http://www.cern.ch/ganga),
developed as a common project between the LHCb and ATLAS collaborations.
Ganga provides a simple and consistent way of preparing,
organizing and executing analysis tasks within the experiment
analysis framework, implemented through a plug-in system. It allows
trivial switching between running test jobs on a local batch system
and running large-scale analyzes on the Grid, hiding Grid
technicalities. Ganga can be used interactively with a Python API,
through a GUI or via scripts on the shell command line.
A steadily increasing number of users of more than 500 users have been
confirmed, both in HEP, as well as in non-HEP applications.