• DocumentCode
    1518731
  • Title

    A pipeline of associative memory boards for track finding

  • Author

    Annovi, Alberto ; Bagliesi, Maria Grazia ; Bardi, Antonio ; Carosi, Roberto ; Dell´Orso, Mauro ; Gannetti, P. ; Iannaccone, Giusseppe ; Morani, F. ; Pietri, Marco ; Varano, G.

  • Author_Institution
    Ist. Nazionale di Fisica Nucl., Pisa, Italy
  • Volume
    48
  • Issue
    3
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    595
  • Lastpage
    600
  • Abstract
    We present a pipeline of associative memory boards for track finding, which satisfies the requirements of level two triggers of the next Large Hadron Collider experiments. With respect to previous realizations, the pipelined architecture warrants full scalability of the memory bank, increased bandwidth (by one order of magnitude), and increased number of detector layers (by a factor of two). Each associative memory board consists of four smaller boards, each containing 32 programmable associative memory chips, implemented with a low-cost commercial field-programmable gate array (FPGA). FPGA programming has been optimized for maximum efficiency in terms of pattern density, while printed circuitboard design has been optimized in terms of modularity and FPGA chip density. A complete associative memory board has been successfully tested at 40 MHz; it can contain 7.2×103 particle trajectories
  • Keywords
    content-addressable storage; field programmable gate arrays; high energy physics instrumentation computing; pipeline processing; FPGA; associative memory boards; field-programmable gate array; modularity; pipeline; pipelined architecture; programmable associative memory chips; track finding; Associative memory; Bandwidth; Design optimization; Detectors; Event detection; Field programmable gate arrays; Large Hadron Collider; Pipeline processing; Roads; Scalability;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.940125
  • Filename
    940125