• DocumentCode
    2622823
  • Title

    Benchmarks and implementation of the ALICE high level trigger

  • Author

    Alt, T. ; Lindenstruth, V. ; Steinbeck, T. ; Tilsner, H. ; Wiebalck, A. ; Appelshäuser, H. ; Loizides, C. ; Becker, B. ; Cleymans, J. ; de Vaux, G. ; Fearick, R.W. ; Szostak, A. ; Vilakazi, Z.Z. ; Chattopadhyay, S. ; Cheshkov, C. ; Cicaló, C. ; Helstrup,

  • Author_Institution
    Kirchhoff Inst. for Phys., Heidelberg Univ.
  • fYear
    2005
  • fDate
    10-10 June 2005
  • Abstract
    The ALICE high level trigger combines and processes the full information from all major detectors in a large computer cluster. Data rate reduction is achieved by reducing the event rate by selecting interesting events (software trigger) and by reducing the event size by selecting sub-events and by advanced data compression. Reconstruction chains for the barrel detectors and the forward muon spectrometer have been benchmarked. The HLT receives a replica of the raw data via the standard ALICE DDL link into a custom PCI receiver card (HLT-RORC). These boards also provide a FPGA co-processor for data-intensive tasks of pattern recognition. Some of the pattern recognition algorithms (cluster finder, Hough transformation) have been re-designed in VHDL to be executed in the Virtex-4 FPGA on the HLT-RORC. HLT prototypes were operated during the beam tests of the TPC and TRD detectors. The input and output interfaces to DAQ and the data flow inside of HLT were successfully tested. A full-scale prototype of the dimuon-HLT achieved the expected data flow performance. This system was finally embedded in a GRID-like system of several distributed clusters demonstrating the scalability and fault-tolerance of the HLT
  • Keywords
    data acquisition; data compression; data reduction; high energy physics instrumentation computing; particle accelerators; particle detectors; particle spectrometers; pattern recognition; workstation clusters; ALICE high level trigger; DAQ; GRID-like system; VHDL; Virtex-4 FPGA; advanced data compression; barrel detector; beam test; benchmark; computer cluster; data flow performance; data rate reduction; data-intensive task; distributed cluster; event rate reduction; event size reduction; fault tolerance; field programmable gate array; forward muon spectrometer; pattern recognition; reconstruction chain; software trigger; Clustering algorithms; Coprocessors; Data compression; Detectors; Field programmable gate arrays; Mesons; Pattern recognition; Prototypes; Spectroscopy; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real Time Conference, 2005. 14th IEEE-NPSS
  • Conference_Location
    Stockholm
  • Print_ISBN
    0-7803-9183-7
  • Type

    conf

  • DOI
    10.1109/RTC.2005.1547465
  • Filename
    1547465