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Developing LHCb Grid Software: Experiences and Advances
/ Stokes-Rees, I (U. Oxford (main)) ; Soroko, A (U. Oxford (main)) ; Cioffi, C (U. Oxford (main)) ; Tsaregorodtsev, A (Marseille, CPPM) ; Garonne, V (Marseille, CPPM) ; Graciani, R (U. Barcelona (main)) ; Sanchez, M (U. Santiago de Compostela (main)) ; Frank, M (CERN) ; Closier, J (CERN) ; Kuznetsov, G (Rutherford)
The LHCb grid software has been used for two Physics Data Challenges, the most recent of which will have produced 90 TB of data and required over 400 processor-years of computing power. This paper discusses the group's experience with developing Grid Services, interfacing to the LCG, running LHCb experiment software on the grid, and the integration of a number of new technologies into the LHCb grid software. [...]
LHCb-PROC-2004-029; CERN-LHCb-PROC-2004-029.-
Geneva : CERN, 2004 - 16 p.
Fulltext: PDF;
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2.
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3.
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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
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4.
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GANGA: a Grid User Interface
/ Harrison, K (University of Cambridge) ; Tan, C I (University of Birmingham) ; Liko, D (CERN) ; Maier, A (CERN) ; Moscicki, J T (CERN) ; Egede, U (Imperial College London) ; Jones, R W I (University of Lancaster) ; Soroko, A (University of Oxford) ; Patrick, G N (Rutherford Appleton Laboratory, Didcot, UK)
LHCb-TALK-2006-009.-
Geneva : CERN, 2006 - 4.
Fulltext: PDF;
In : 15th International Conference on Computing In High Energy and Nuclear Physics, Mumbai, India, 13 - 17 Feb 2006
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5.
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Experience with distributed analysis in LHCb
/ Egede, Ulrik (Imperial College London) ; Garonne, Vincent (Laboratoire de l''Accelerateur Lineaire, Universite de Paris-Sud (ParisXI)) ; Harrison, Karl (Cambridge University) ; Maier, Andrew (CERN) ; Moscicki, Jakub (CERN) ; Paterson, Stuart (University of Glasgow) ; Soroko, Alexander (University of Oxford) ; Tsaregorodtsev, Andrei (Centre de Physique des Particules de Marseille, Universite d'Aix - Marseille II)
LHCb-TALK-2006-008.-
Geneva : CERN, 2006 - 26.
Fulltext: PDF;
In : 15th International Conference on Computing In High Energy and Nuclear Physics, Mumbai, India, 13 - 17 Feb 2006
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6.
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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
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7.
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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
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8.
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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
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9.
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Distributed analysis using GANGA on the EGEE/LCG infrastructure
/ Elmsheuser, J (Munich U.) ; Brochu, F (Cambridge) ; Egede, U (Imperial Coll., London) ; Gaidioz, B (CERN) ; Harrison, K (Cambridge) ; Lee, H C (Taipei, ASGC) ; Liko, D (CERN) ; Maier, A (CERN) ; Moscicki, J (CERN) ; Muraru, A (CERN) et al.
The distributed data analysis using Grid resources is one of the fundamental applications in high energy physics to be addressed and realized before the start of LHC data taking. The need to facilitate the access to the resources is very high. [...]
2008
- Published in : J. Phys.: Conf. Ser. 119 (2008) 072014
In : International Conference on Computing in High Energy and Nuclear Physics, Victoria, Canada, 2 - 7 Sep 2007, pp.072014
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10.
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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
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