• DocumentCode
    2439163
  • Title

    Scalability Study on Mesh Based Network on Chip

  • Author

    Du, Gaoming ; Zhang, Duoli ; Song, Yukun ; Gao, Minglun ; Geng, Luofeng ; Hou, Ning

  • Author_Institution
    VLSI Res. Inst., Hefei Univ. of Technol., Hefei
  • Volume
    2
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    681
  • Lastpage
    685
  • Abstract
    With the development of IC technology and the increasing processing power requirement, more and more processing cores are being integrated into one single chip. One of the key problems is the communication efficiency between the processing cores, and network on chip (NoC) has been proposed as prospect architecture. In this paper, scalability issue of 2-D mesh based NoC is analyzed. First, a mesh based NoC router using XY routing algorithm is designed and implemented in FPGA prototype. Second, 2*2 and 3*3 NoCs are constructed using the above router module, with each router connected to a processing core via the resource network interface (RNI). At last, pipelined matrixes multiplications and FFT are executed to evaluate the 2-D mesh based NoC performance, together with the router area overhead in the case of increasing processing nodes numbers. Experiments showed that 2-D mesh based NoC architecture is easy scalable in increasing processing nodes numbers with small resource overhead.
  • Keywords
    computer architecture; fast Fourier transforms; microprocessor chips; network-on-chip; 2D mesh based NoC; FFT; FPGA; IC technology; XY routing algorithm; network on chip; pipelined matrixes multiplications; processing power requirement; resource network interface; Algorithm design and analysis; Computational intelligence; Conferences; Network interfaces; Network-on-a-chip; Performance analysis; Routing; Scalability; System-on-a-chip; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.236
  • Filename
    4756862