• DocumentCode
    928036
  • Title

    Using the Grid to Test the ATLAS Trigger and Data Acquisition System at Large Scale

  • Author

    Forti, Alessandra ; Garitaonandia, Hegoi ; Masik, Jiri ; Wheeler, Sarah ; Wengler, Thorsten

  • Author_Institution
    Manchester Univ., Manchester
  • Volume
    54
  • Issue
    5
  • fYear
    2007
  • Firstpage
    1767
  • Lastpage
    1772
  • Abstract
    The ATLAS Trigger and data acquisition system has been designed to use more than 2000 CPUs. During the current development stage it is crucial to test the system on a number of CPUs of similar scale. A dedicated farm of this size is difficult to find, and can only be made available for short periods. On the other hand many large farms have become available recently as part of computing grids, leading to the idea of using them to test the TDAQ system of ATLAS. However the task of adapting the TDAQ system to run on the Grid is not trivial, as it requires full access to the computing resources it runs on and real-time interaction. Moreover the Grid virtualises the resources to present a common interface to the user. We will describe the implementation and first tests of a scheme that resolves these issues using a pilot job mechanism. The Tier2 cluster in Manchester was successfully used to run a full TDAQ system on 400 nodes using this implementation. Apart from the tests described above, this scheme also has great potential for other applications, like running Grid remote farms to perform detector calibration and monitoring in real-time, and automatic nightly testing of the TDAQ system.
  • Keywords
    data acquisition; high energy physics instrumentation computing; nuclear electronics; position sensitive particle detectors; ATLAS Trigger and Data Acquisition System; Grid; Large Hadron Collider; TDAQ; Tier2 cluster; grid computing; large scale software testing; nuclear physics; proton-proton collision recording; real time systems; scaling; Automatic testing; Calibration; Computerized monitoring; Data acquisition; Detectors; Grid computing; Large-scale systems; Performance evaluation; Real time systems; System testing; ATLAS; data acquisition; grid computing; nuclear physics; real time systems; scaling; software testing; trigger;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2007.905169
  • Filename
    4346712