• DocumentCode
    687108
  • Title

    Next generation Associative Memory devices for the FTK tracking processor of the ATLAS experiment

  • Author

    Andreani, Alessandro ; Annovi, A. ; Beccherle, Roberto ; Beretta, M. ; Citterio, M. ; Crescioli, Francesco ; Colombo, Alessandro ; Giannetti, P. ; Liberali, Valentino ; Shojaii, Jafar ; Stabile, Antonino

  • Author_Institution
    INFN Milano, Milan, Italy
  • fYear
    2013
  • fDate
    Oct. 27 2013-Nov. 2 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The AMchip is a VLSI device that implements the Associative Memory function, a special content addressable memory specifically designed for high energy physics applications and first used in the CDF experiment at Tevatron. The 4th generation of AMchip has been developed for the core pattern recognition stage of the Fast TracKer (FTK) processor: a hardware processor for online reconstruction of particle trajectories at the ATLAS experiment at LHC. We present the architecture, design considerations, power consumption and performance measurements of the 4th generation of AMchip. We present also the design innovations toward the 5th generation and the first prototype results.
  • Keywords
    VLSI; particle tracks; pattern recognition; position sensitive particle detectors; silicon radiation detectors; AMchip VLSI device; ATLAS inner detector silicon layers; CDF experiment; FTK tracking processor; Fast TracKer hardware processor; LHC; Tevatron; associative memory function; core pattern recognition stage; high energy physics applications; next generation associative memory devices; particle trajectory online reconstruction; power consumption; Associative memory; Computer aided manufacturing; Computer architecture; IP networks; Microprocessors; Power demand; Silicon; ATLAS; Associative Memory; FTK; Trigger;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-0533-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2013.6829550
  • Filename
    6829550