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.
Large-scale ATLAS simulated production on EGEE / X. Espinal, S. Campana, D. Barberis, L. Goosens, G. Poulard, L. Perini, S. Resconi, D. Rebatto, G. Negri, A. de Salvo, R. Walker,S. Padhi, J. Kennedy, K. Bos - In: Proceedings of the third IEEE international conference on e-science and grid computing / [a cura di] Geoffrey Fox, Kenneth Chiu, Rajkumar Buyya. - Los Alamitos, CA : IEEE computer society, 2007. - ISBN 0-7695-3064-8. - pp. 3-10 (( Intervento presentato al 3. convegno IEEE International conference on e-science and grid computing tenutosi a Bangalore nel 2007.
Large-scale ATLAS simulated production on EGEE
L. Perini;
2007
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.File | Dimensione | Formato | |
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