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
Link To Document :
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