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Proceedings Paper

Improving the performance of spatial raster analysis in GIS using GPU
Author(s): Ye Wu; Ying Ge; Weibao Yan; Xinyu Li
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Paper Abstract

GIS spatial raster analysis has become a powerful tool for geographical phenomena. Unfortunately the computation-intensive raster operations are likely to create computer performance bottlenecks when running on the CPUs. Over the last few years, GPU performance has improved much more than CPU performance. For this reason, many researches have applied the GPUs for scientific, geometric and database computations beyond graphics. This paper demonstrates a general framework for the GPU-based implementation of GIS raster operations, and conducts experiments to compare the computation performance between GPU-based and CPU-based algorithms. The test results indicate that using GPU on spatial raster operations can significantly improve their computation performance. This means that realizing GIS spatial analysis on the GPU create new opportunities by drastically lowering the cost of raster operations on the same hardware performance.

Paper Details

Date Published: 7 August 2007
PDF: 11 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67540P (7 August 2007); doi: 10.1117/12.764613
Show Author Affiliations
Ye Wu, Hohai Univ. (China)
Ying Ge, Hohai Univ. (China)
Weibao Yan, Nanjing Univ. of Technology (China)
Xinyu Li, Hohai Univ. (China)

Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications
Peng Gong; Yongxue Liu, Editor(s)

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