• DocumentCode
    2218845
  • Title

    GPU-based acceleration for Monte Carlo ray-tracing of complex 3D scene

  • Author

    Li, Yuguang ; Dai, Xu ; Zhao, Feng ; Shang, Hong

  • Author_Institution
    Sch. of Instrum. Sci. & Opto-Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4240
  • Lastpage
    4243
  • Abstract
    This paper introduces two acceleration methods for the Monte Carlo (MC) simulation of photons on Graphic Processing Units (GPUs). The GPU-based methods for performing MC method enable the use of the model in more complex vegetation canopy. We describe the computation and how it is mapped onto the many parallel computational units on one NVIDIA GT240M graphic card. For a vegetation canopy consisting of 13020 polygons, the speedup is 16.45× over the code on an Intel T6400 dual-core processor. And this method can be accelerated tremendously by employing better GPU processor, or using more GPUs for simulation.
  • Keywords
    Monte Carlo methods; geophysics computing; graphics processing units; natural scenes; parallel architectures; ray tracing; vegetation mapping; GPU processor; GPU-based acceleration; Intel T6400 dual-core processor; MC simulation; Monte Carlo ray tracing; Monte Carlo simulation; NVIDIA GT240M graphic card; complex 3D scene; complex vegetation canopy; graphic processing units; parallel computational units; Acceleration; Computational modeling; Graphics processing units; Instruction sets; Photonics; Ray tracing; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351732
  • Filename
    6351732