• DocumentCode
    3588458
  • Title

    Online 4-dimensional event building in the CBM experiment

  • Author

    Akishina, Valentina ; Kisel, Ivan

  • Author_Institution
    Uni-Frankfurt - Goethe Univ., Frankfurt am Main, Germany
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The main focus of the CBM experiment (FAIR, Darmstadt, Germany) is the measurement of very rare probes, which require interaction rates of up to 10 MHz. It makes it mandatory to perform the full online event reconstruction at the first level trigger and to operate with huge data rates of up to 1 TB/s. CBM will have a continuous beam without bunch structure, that means collisions may overlap in time, making traditional event-based approach not applicable. It requires full online event building, event reconstruction and selection to be done in 4D, including time. The standalone First Level Event Selection (FLES) package has been created for the CBM experiment. It contains all reconstruction stages: track finding, track fitting, short-lived particles finding, event building and event selection. For track reconstruction the Cellular Automaton (CA) method is used, that allows to reconstruct tracks with high efficiency in a time-slice and perform event building. The time-based CA track finder allows to resolve tracks from a time-slice in event-corresponding groups. The algorithm is intrinsically local and the implementation is both vectorized (SIMD) and parallelized between CPU cores. The CA track finder shows a strong scalability on many-core systems. The speed-up factor of 10.6 on a CPU with 10 hyper-threaded physical cores was achieved.
  • Keywords
    cellular automata; pattern recognition; CA track finder; CBM experiment; CPU cores; cellular automaton method; first level event selection package; full online event reconstruction; hyperthreaded physical cores; many-core system; online four-dimensional event; time-based CA track finder; Buildings; Color; Computer architecture; Instruction sets; Parallel processing; Time measurement; Elementary particles; data processing; high performance computing; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real Time Conference (RT), 2014 19th IEEE-NPSS
  • Print_ISBN
    978-1-4799-3658-8
  • Type

    conf

  • DOI
    10.1109/RTC.2014.7097415
  • Filename
    7097415