CERN Accelerating science

Article
Title Key developments of the Ganga task-management framework
Author(s) Dzhunov, IA (Sofiya U.) ; Kenyon, M J (CERN) ; Moscicki, J (CERN) ; Richards, A J (Imperial Coll., London) ; Slater, M W (Birmingham U.) ; Brochu, F (Trinity Coll., Cambridge) ; Ebke, J (Munich U.) ; Egede, U (Imperial Coll., London) ; Lee, H (NIKHEF, Amsterdam) ; Van Der Ster, D C (CERN) ; Williams, M J (Imperial Coll., London) ; Elmsheuser, J (Munich U.) ; Jha, M (Frascati)
Publication 2012
Imprint 2012
Number of pages 9
In: J. Phys.: Conf. Ser. 396 (2012) pp.032061
In: Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032061
DOI 10.1088/1742-6596/396/3/032061
Subject category Computing and Computers
Abstract Ganga is the main end-user distributed analysis tool for the ATLAS and LHCb experiments and provides the foundation layer for the HammerCloud system, used by the LHC experiments for validation and stress testing of their numerous distributed computing facilities. Here we illustrate recent developments and demonstrate how tools that were initially developed for a specific user community have been migrated into the Ganga core, and so can be exploited by a wider user-base. Similarly, examples will be given where Ganga components have been adapted for use by communities in their custom analysis packages.
Copyright/License publication: (License: CC-BY)

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