• DocumentCode
    1942963
  • Title

    Approximate Dynamic Programming and Neural Networks on Game Hardware

  • Author

    Meuth, Ryan J. ; Wunsch, Donald C., II

  • Author_Institution
    Univ. of Missouri-Rolla, Rolla
  • fYear
    2007
  • fDate
    12-17 Aug. 2007
  • Firstpage
    852
  • Lastpage
    856
  • Abstract
    Modern graphics processing units (GPU) and game consoles are used for much more than simply 3D graphics applications and video games. From machine vision to finite element analysis, GPU´s are being used in diverse applications, collectively called General Purpose computation onf graphics processor units (GPGPU). Additionally, game consoles are entering the market of high performance computing as inexpensive nodes in computing clusters. This paper explores the capabilities and limitations of modern GPU´s and game consoles, surveying the ADP and neural network technologies that can be applied to these devices.
  • Keywords
    computer games; computer graphic equipment; computer graphics; dynamic programming; neural nets; approximate dynamic programming; computing clusters; finite element analysis; game consoles; game hardware; general purpose computation; graphics processing units; high performance computing; machine vision; neural networks; video games; Application software; Computer graphics; Data structures; Dynamic programming; Games; High performance computing; Iterative algorithms; Neural network hardware; Neural networks; Pipelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1379-9
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2007.4371069
  • Filename
    4371069