• DocumentCode
    3738036
  • Title

    FPGA Trax Solver based on a neural network design

  • Author

    Takumi Fujimori;Tomoya Akabe;Yoshizumi Ito;Kouta Akagi;Shinya Furukawa;Hiroki Shinba;Aoi Tanibata;Minoru Watanabe

  • Author_Institution
    Electrical and Electronic Engineering, Shizuoka University, 3-5-1 Johoku, Hamamatsu, 432-8561, Japan
  • fYear
    2015
  • Firstpage
    260
  • Lastpage
    263
  • Abstract
    For research related to field programmable gate arrays (FPGAs), various FPGA game solvers have been developed recently. The FPGA game solver can achieve up to 1,000 times faster processing speeds than processor-based operations. This paper presents one development of such FPGA game solvers: an FPGA Trax Solver based on a neural network design. The speed of the FPGA Trax Solver operations implemented on an FPGA (Arria II GX; Altera Corp.) is over 60 times greater than operation of C++ based software on a personal computer (Vostro 460; Dell Inc.).
  • Keywords
    "Field programmable gate arrays","Neurons","Games","Biological neural networks","Yttrium","Microcomputers"
  • Publisher
    ieee
  • Conference_Titel
    Field Programmable Technology (FPT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/FPT.2015.7393119
  • Filename
    7393119
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3738036