• DocumentCode
    2543455
  • Title

    Fast evolutionary image processing using Multi-GPUs

  • Author

    Ando, Jun ; Nagao, Tomoharu

  • Author_Institution
    Yokohama Nat. Univ., Yokohama
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    2927
  • Lastpage
    2932
  • Abstract
    In this paper, the authors propose a fast evolutionary image processing system. The authors employ graphics processing unit (GPU) to automatic construction of tree-structural image transformation (ACTIT) for the purpose of reducing optimization time. Besides, the system calculates in parallel by using multiple GPUs for the fast processing. The optimization speed of the proposed system is several hundred times faster than that of the ordinary ACTIT. Experimental results show that the proposed system is effective.
  • Keywords
    digital signal processing chips; image processing; optimisation; parallel processing; evolutionary image processing system; fast evolutionary image processing; graphics processing unit; multiple GPUs; optimization; tree-structural image transformation automatic construction; Character generation; Evolutionary computation; Filters; Genetic programming; Graphics; Hardware; Image processing; Machine intelligence; Parallel processing; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413831
  • Filename
    4413831
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2543455