• 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