• DocumentCode
    1914740
  • Title

    Design and analysis of FPGA/FPIC switch modules

  • Author

    Chang, Yao-Wen ; Wong, D.F. ; Wong, C.K.

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
  • fYear
    1995
  • fDate
    2-4 Oct 1995
  • Firstpage
    394
  • Lastpage
    401
  • Abstract
    Switch modules are the most important component of the routing resources in FPGAs and FPICs. The quality of switch modules greatly affects FPGA/FPIC routing solutions. The switch-module design problem was studied by K. Zhu et al. (1993). In order to analyze the routability of designed switch modules, a heuristic algorithm based on network-flow techniques was proposed. In this paper, we mathematically show that the network-flow based algorithm has provably good performance with the bounds 5 and 5/4 away from the optima for two types of switch modules, respectively. Based on the analyses, we developed a new method for designing switch modules. Experimental results show that our designed switch modules significantly improve routability, compared with those by K. Zhu et al. Extensive experiments also show that the network-flow based algorithm is highly accurate and runs very efficiently
  • Keywords
    field programmable gate arrays; logic design; programmable logic arrays; FPGA; FPGA/FPIC switch modules; FPIC; field programmable gate arrays; field programmable interconnect chip; heuristic algorithm; network-flow techniques; routability; routing resources; Algorithm design and analysis; Computer science; Delay; Field programmable gate arrays; Heuristic algorithms; Integrated circuit interconnections; Logic arrays; Routing; Switches; Switching circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design: VLSI in Computers and Processors, 1995. ICCD '95. Proceedings., 1995 IEEE International Conference on
  • Conference_Location
    Austin, TX
  • ISSN
    1063-6404
  • Print_ISBN
    0-8186-7165-3
  • Type

    conf

  • DOI
    10.1109/ICCD.1995.528839
  • Filename
    528839