• DocumentCode
    3727796
  • Title

    Accelerating generation of stochastic cyclone routes with GPU programming

  • Author

    Yiran Chen; Zhou Huang

  • Author_Institution
    Institute of Remote Sensing &
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Typhoon/Cyclone is an important part of the risk assessment of natural catastrophes. To estimate probabilistic cyclone damage for a very long time (e.g. 1,000 years, 10,000 years), the first step of catastrophe risk assessment model is to generate a stochastic set of routes derived by historical cyclone routes, which takes a long time. In order to accelerate the generation, we try to use GPU programming, and gain about 2X speedups.
  • Keywords
    "Instruction sets","Cyclones","Random access memory","Manufacturing"
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2015 23rd International Conference on
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2015.7378643
  • Filename
    7378643