A GPU-Based Parallel Processing Method for Slope Analysis in Geographical Computation

Min Hui Lv; Xiong Wei; Cai Lei

doi:10.4028/www.scientific.net/AMR.538-541.625

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 538-541A GPU-Based Parallel Processing Method for Slope...

A GPU-Based Parallel Processing Method for Slope Analysis in Geographical Computation

Abstract:

Nowadays, geographical computation presents to be distributed, parallel, and diversification application trend. Influence of problem scale and response speed requirement received more attention. And high performance computational systems, such as “TianHe 1-A”, provides a new generation of hardware supports. In order to make full use of these high performance computational resources, appropriate and efficient parallel algorithms are needed. New parallel computing optimization technique of the geography is proposed in this paper by designing new parallel algorithms for slope analysis. We implement it based on CUDA. Experimental results with random DEM data in uniform distribution validate our methods.

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Periodical:

Advanced Materials Research (Volumes 538-541)

Pages:

625-631

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.538-541.625

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Online since:

June 2012

Authors:

Min Hui Lv*, Xiong Wei, Cai Lei

Keywords:

CUDA, Graphic Processing Unit (GPU), Parallel Computing, Slope Analysis

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