1.
|
Key developments of the Ganga task-management framework
/ 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) et al.
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. [...]
2012 - 9 p.
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032061
|
|
2.
|
Distributed analysis in ATLAS using GANGA
/ Elmsheuser, Johannes (Munich U.) ; Brochu, Frederic (Cambridge U.) ; Cowan, Greig (Edinburgh U.) ; Egede, Ulrik (Imperial Coll., London) ; Gaidioz, Benjamin (CERN) ; Lee, Hurng-Chun (NIKHEF, Amsterdam) ; Maier, Andrew (CERN) ; Moscicki, Jakub (CERN) ; Pajchel, Katarina (Oslo U.) ; Reece, Will (Imperial Coll., London) et al.
2010 - 6 p.
In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.072002
|
|
3.
|
|
|
Reinforcing user data analysis with Ganga in the LHC era: scalability, monitoring and user-support.
/ Brochu, F (Cambridge U.) ; Dzhunov, I (CERN) ; Ebke, J (Munich U.) ; Egede, U (Imperial Coll., London) ; Elmsheuser, J (Munich U.) ; Jha, M K (INFN, Bologna) ; Kokoszkiewicz, L (CERN) ; Lee, H C (NIKHEF, Amsterdam) ; Maier, A (CERN) ; Moscicki, J (CERN) et al.
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments and several other communities in the context of the EGEE project. [...]
ATL-SOFT-PROC-2011-011.
-
2011. - 7 p.
Original Communication (restricted to ATLAS) - Full text
|
|
4.
|
GANGA : a Grid User Interface
/ Harrison, K (Cambridge U. (main)) ; Tan, C I (Birmingham U.) ; Liko, D (CERN) ; Maier, A (CERN) ; Moscicki, J T (CERN) ; Egede, U (Imperial Coll., London) ; Jones, R W I (Lancaster U.) ; Soroko, A (U. Oxford (main)) ; Patrick, G N (Rutherford)
Details are presented of GANGA, the Grid user interface being developed to enable large-scale distributed analysis by physicists in the ATLAS and LHCb experiments..
LHCb-PROC-2006-005; CERN-LHCb-PROC-2006-005.-
Geneva : CERN, 2006 - 4 p.
Fulltext: PDF;
In : 15th International Conference on Computing In High Energy and Nuclear Physics, Mumbai, India, 13 - 17 Feb 2006
|
|
5.
|
Ganga: User-friendly Grid job submission and management tool for LHC and beyond
/ Vanderster, D C (CERN) ; Brochu, F (Cambridge U.) ; Cowan, G (Edinburgh U.) ; Egede, U (Imperial Coll., London) ; Elmsheuser, J (Munich U.) ; Gaidoz, B (CERN) ; Harrison, K (Birmingham U.) ; Lee, H C (NIKHEF, Amsterdam) ; Liko, D (Vienna, OAW) ; Maier, A (CERN) et al.
Ganga has been widely used for several years in ATLAS, LHCb and a handful of other communities. Ganga provides a simple yet powerful interface for submitting and managing jobs to a variety of computing backends. [...]
2010
- Published in : J. Phys.: Conf. Ser. 219 (2010) 072022
In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.072022
|
|
6.
|
Ganga: a tool for computational-task management and easy access to Grid resources
/ Mościcki, J.T. (CERN) ; Brochu, F. (Cambridge U.) ; Ebke, J. (LMU Munich (main)) ; Egede, U. (Imperial Coll., London) ; Elmsheuser, J. (LMU Munich (main)) ; Harrison, K. (Cambridge U.) ; Jones, R.W.L. (Lancaster U.) ; Lee, H.C. (NIKHEF, Amsterdam) ; Liko, D. (CERN) ; Maier, A. (CERN) et al.
We present the computational task-management tool Ganga, which allows for the specification, submission, bookkeeping and post processing of computational tasks on a wide set of distributed resources. Ganga effectively provides a homogeneous environment for processing data on heterogeneous resources. [...]
arXiv:0902.2685.-
2009-11 - 14 p.
- Published in : Comput. Phys. Commun. 180 (2009) 2303-2316
External link: Preprint
|
|
7.
|
User analysis of LHCb data with Ganga
/ Maier, A (CERN) ; Brochu, F (Cambridge U.) ; Cowan, G (Edinburgh U.) ; Egede, U (Imperial Coll., London) ; Elmsheuser, J (Munich U.) ; Gaidioz, B (CERN) ; Harrison, K (Birmingham U.) ; Lee, H -C (NIKHEF, Amsterdam) ; Liko, D (Vienna, OAW) ; Moscicki, J (CERN) et al.
GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent user analysis tool in a variety of heterogeneous environments: from local clusters to global Grid systems. Experiment specific plug-ins allow GANGA to be customised for each experiment [...]
2010
- Published in : J. Phys.: Conf. Ser. 219 (2010) 072008
In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.072008
|
|
8.
|
Reinforcing User Data Analysis with Ganga in the LHC Era: Scalability, Monitoring and User-support
/ Brochu, F (University of Cambridge) ; Dzhunov, I (CERN) ; Ebke, J (Ludwig-Maximilians-Universitat Munchen) ; Egede, U (Imperial College London) ; Elmsheuser, J (Ludwig-Maximilians-Universitat Munchen) ; Jha, M K (INFN Bologna) ; Kokoszkiewicz, L (CERN) ; Lee, H C (NIKHEF) ; Maier, A (CERN) ; Moscicki, J (CERN) et al.
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments and several other communities in the context of the EGEE project. The particle physics communities have entered the LHC operation era which brings new challenges for user data analysis: a strong growth in the number of users and jobs is already noticable. [...]
ATL-SOFT-SLIDE-2010-363.-
Geneva : CERN, 2010
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18 - 22 Oct 2010
|
|
9.
|
GridPP DIRAC: Supporting non-LHC VOs on LHC centric resources
/ Bauer, D (Imperial Coll., London) ; Fayer, S (Imperial Coll., London)
To allow non-LHC communities access to the primarily LHC dominated resources of the grid, the GridPP consortium in the UK maintains a multi-VO DIRAC service for this user-base. After an extensive testing phase, this service has been in production for the last two years and has been fully integrated into the user communities’ workflows. [...]
2017 - 5 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 052003
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.052003
|
|
10.
|
BESIII and SuperB: Distributed job management with Ganga
/ Antoniev, I (CERN) ; Deng, Z (Beijing, Inst. High Energy Phys.) ; Ebke, J (Munich U.) ; Egede, U (Imperial Coll., London) ; Fella, A (Ferrara U. ; INFN, Pisa) ; Galvani, A (Ferrara U.) ; Han, Y (Beijing, Inst. High Energy Phys.) ; Kenyon, M (CERN) ; Lin, L (Suzhou U.) ; Luppi, E (INFN, Ferrara ; Ferrara U.) et al.
A job submission and management tool is one of the necessary components in any distributed computing system. Such a tool should provide a user-friendly interface for physics production groups and ordinary analysis users to access heterogeneous computing resources, without requiring knowledge of the underlying grid middleware. [...]
2012 - 9 p.
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032120
|
|