DocumentCode
2724304
Title
Large-Scale ATLAS Simulated Production on EGEE
Author
Espinal, X. ; Barberis, D. ; Bos, K. ; Campana, S. ; Goossens, L. ; Kennedy, J. ; Negri, G. ; Padhi, S. ; Perini, L. ; Poulard, G. ; Rebatto, D. ; Resconi, S. ; de Salvo, A. ; Walker, R.
Author_Institution
Univ. Autonoma de Barcelona, Bellaterra
fYear
2007
fDate
10-13 Dec. 2007
Firstpage
3
Lastpage
10
Abstract
In preparation for first data at the LHC, a series of Data Challenges, of increasing scale and complexity, have been performed. Large quantities of simulated data have been produced on three different Grids, integrated into the ATLAS production system. During 2006, the emphasis moved towards providing stable continuous production, as is required in the immediate run-up to first data, and thereafter. Here, we discuss the experience of the production done on EGEE resources, using submission based on the gLite WMS, CondorG and a system using Condor Glide-ins. The overall walltime efficiency of around 90% is largely independent of the submission method, and the dominant source of wasted cpu comes from data handling issues. The efficiency of grid job submission is significantly worse than this, and the glide-in method benefits greatly from factorising this out.
Keywords
data handling; grid computing; ATLAS simulated production; EGEE resources; data handling; glide-in method; grid job submission; Computational modeling; Grid computing; Laboratories; Large Hadron Collider; Large-scale systems; Linear particle accelerator; Mesons; Nuclear physics; Production systems; Protons;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Science and Grid Computing, IEEE International Conference on
Conference_Location
Bangalore
Print_ISBN
978-0-7695-3064-2
Type
conf
DOI
10.1109/E-SCIENCE.2007.47
Filename
4426865
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