• DocumentCode
    466415
  • Title

    Automatic phase detection for stochastic on-chip traffic generation

  • Author

    Scherrer, A. ; Fraboulet, A. ; Risset, T.

  • Author_Institution
    LIP - ENS Lyon, Lyon
  • fYear
    2006
  • fDate
    22-25 Oct. 2006
  • Firstpage
    88
  • Lastpage
    93
  • Abstract
    (NoC) prototyping is used for adapting NoC parameters to the application running on the chip. This prototyping is currently done using traffic generators which emulate the SoC components (IPs) behavior: processors, hardware accelerators, etc. Traffic generated by processor-like IPs is highly non-regular, it must be decomposed into program phases. We propose an original feature for NoC prototyping, inspired by techniques used in processor architecture performance evaluation: the automatic detection of traffic phases. Integrated in our NoC prototyping environment, this feature permits to have a completely automatic toolchain for the generation of stochastic traffic generators. We show that our traffic generators emulate precisely the behavior of processors and that our environment is a versatile tool for networks-on-chip prototyping. Simulations are performed in a SystemC-based simulation environment with a mesh network-on-chip (DSPIN) and a processor running MP3 decoding applications.
  • Keywords
    logic design; network-on-chip; stochastic processes; NoC prototyping; SoC component; automatic phase detection; network-on-chip; stochastic onchip traffic generation; system-on-chip; Computational modeling; Hardware; Network-on-a-chip; Phase detection; Prototypes; Space exploration; Stochastic processes; System-on-a-chip; Telecommunication traffic; Traffic control; network-on-chip; performance evaluation; phase behavior; stochastic traffic modeling; traffic generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hardware/Software Codesign and System Synthesis, 2006. CODES+ISSS '06. Proceedings of the 4th International Conference
  • Conference_Location
    Seoul
  • Print_ISBN
    1-59593-370-0
  • Type

    conf

  • DOI
    10.1145/1176254.1176277
  • Filename
    4278496