• DocumentCode
    2310398
  • Title

    Controlling a large CPU farm using industrial tools

  • Author

    Sambade, Alba ; Frank, Markus ; Galli, Domenico ; Gaspar, Clara ; Jost, Beat ; Neufeld, Niko ; van Herwijnen, E.

  • Author_Institution
    CERN (Eur. Organ. for Nucl. Res.), Geneva, Switzerland
  • fYear
    2009
  • fDate
    10-15 May 2009
  • Firstpage
    220
  • Lastpage
    223
  • Abstract
    The LHCb experiment at CERN will have an event filter farm (EFF) composed of 2000 CPUs. These machines will form a pool of 50 sub-farms with 30 to 40 nodes each, running a large amount of high level trigger (HLT) tasks in parallel. Although these tasks are identical algorithms, they can run at the same time being configured with different parameters, such as run type (physics, cosmics, test, etc) or with different subdetectors (partitions). The HLT is the second of the two trigger levels in LHCb. Its selection algorithms reduce the incoming data rate of 1 MHz to an output rate of 2 kHz. Selected events are sent for mass storage and subsequent offline reconstruction and analysis. These trigger processes running online are based on the same software framework as the algorithms for offline analysis (Gaudi). The control of the trigger farm was developed with an industrial SCADA system (PVSS) which is used throughout the experiment control system (ECS). The HLT algorithms are handled by the ECS like hardware devices, for instance, high voltage channels. The integration of the HLT controls in the overall ECS, which is modeled as finite state machines, will be presented.
  • Keywords
    SCADA systems; finite state machines; high energy physics instrumentation computing; CERN; CPU farm; LHCb experiment; event filter farm; finite state machine; frequency 1 MHz; frequency 2 kHz; high level trigger; industrial SCADA system; industrial tool; mass storage; Algorithm design and analysis; Control systems; Electrical equipment industry; Filters; Industrial control; Partitioning algorithms; Physics; SCADA systems; Software algorithms; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real Time Conference, 2009. RT '09. 16th IEEE-NPSS
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4454-0
  • Type

    conf

  • DOI
    10.1109/RTC.2009.5321887
  • Filename
    5321887