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Advanced Computing Resources for High-Energy Physics Data Processing and Analysis

Explore the latest requirements and usage trends in computing resources for particle physics data processing and reconstruction, highlighting increased CPU power, new algorithms, and advanced calibration methods. Comparison with previous parameter settings and future LHC running scenarios.

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Advanced Computing Resources for High-Energy Physics Data Processing and Analysis

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  1. ALICE Computing Resources requirements WLCG OB 18 March 2011

  2. USAGE in 2010 • Data collected (filtered by physics trigger) • Data processing Reconstruction: 10% MC & Trains: 75% End users A: 15%

  3. Storage filling up quickly

  4. Memory profile PbPbreco

  5. New in the Computing model • Additional reconstruction pass on a fraction of raw data for calibration (central tracking mainly) • Major CPU power increase • in AA reconstruction due to a new V0 finder algorithm • In MC due to additional details in digitization of drift detectors (does not scale with tracks) • New detectors (EMCAL and new TRD modules since 2011) • Trigger mix • in AA selecting central collisions • in pp high multiplicity • Additional post-reco calibration as a tender of the analysis train

  6. New in the Computing model 2010 CM Parameters (comparison with parameters used for the 2010 requirements)

  7. LHC running scenario • pp data taking from March 2011(2012) to October 2011(2012) (135 days, with a 50% LHC availability and a 46% LHC efficiency, 2.7×106 effective seconds; 1.0×109 events, 5×108 MB events + 0.5×108 rare events) • AA data taking from November 2011(2012) to December 2011(2012) (19 days, with a 50% LHC availability and a 46% LHC efficiency, 3.7×105 effective seconds; 7.4×107 events) • LHC shutdown in 2013 Requirements

  8. Comparison with pledges Pledged data from C-RRB October 2010

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