Session

Monday PM plenaries

17 May 2021, 16:40

Conveners

Monday PM plenaries: Plenaries

  • Stefan Roiser (CERN)
  • Catherine Biscarat (L2I Toulouse, IN2P3/CNRS (FR))

Presentation materials

  1. Panos Paparrigopoulos (CERN)
    17/05/2021, 16:40
    Distributed Computing, Data Management and Facilities
    Long talk

    The Operational Intelligence (OpInt) project is a joint effort from
    various WLCG communities aimed at increasing the level of automation
    in computing operations and reducing human interventions. The currently deployed systems have proven to be mature and capable of meeting the experiments goals, by allowing timely delivery of scientific results. However, a substantial number of interventions...

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  2. Joe Osborn (Oak Ridge National Laboratory)
    17/05/2021, 17:10
    Offline Computing
    Long talk

    sPHENIX is a high energy nuclear physics experiment under construction at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory. The primary physics goals of sPHENIX are to measure jets, their substructure, and the upsilon resonances in $p$$+$$p$, $p$+Au, and Au+Au collisions. sPHENIX will collect approximately 200 PB of data over three run periods utilizing a finite-sized...

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  3. Mary Georgiou (CERN)
    17/05/2021, 18:00
    Distributed Computing, Data Management and Facilities
    Long talk

    The new CERN Single-Sign-On (SSO), built around an open sourcestack, has been in production for over a year and many CERN users are alreadyfamiliar with its approach to authentication, either as a developer or as an enduser. What is visible upon logging in, however, is only the tip of the iceberg.Behind the scenes there has been a significant amount of work taking placeto migrate...

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  4. Dr Charles Leggett (Lawrence Berkeley National Lab (US))
    17/05/2021, 18:30
    Offline Computing
    Long talk

    The High Energy Physics (HEP) experiments, such as those at theLarge Hadron Collider (LHC), traditionally consume large amounts of CPUcycles for detector simulations and data analysis, but rarely use compute accel-erators such as GPUs. As the LHC is upgraded to allow for higher luminosity,resulting in much higher data rates, purely relying on CPUs may not provideenough computing...

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