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GPU enabled XDraw viewshed analysis
Citation
Cauchi-Saunders, AJ and Lewis, IJ, GPU enabled XDraw viewshed analysis, Journal of Parallel and Distributed Computing, 84 pp. 87-93. ISSN 0743-7315 (2015) [Refereed Article]
Copyright Statement
Copyright 2015 Elsevier Inc
DOI: doi:10.1016/j.jpdc.2015.07.001
Abstract
Viewshed Analysis is an important tool in the study of digital terrain
visibility. Current methods rely on the CPU performing computations to linearly
calculate visibility for a given position on a portion of digital terrain. The viewshed
analysis process can be sped up through the use of a GPU to parallelize the visibility
algorithms. This paper presents a novel conversion of the XDraw viewshed analysis
algorithm to a parallel context in an effort to increase the speed at which a viewshed can
be rendered. The algorithm executed faster than current linear methods and responded
well to parallelization. We conclude that XDraw is applicable for GIS applications when
rendered in a parallel context.
Item Details
Item Type: | Refereed Article |
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Keywords: | GPU, viewshed, algorithm, XDraw |
Research Division: | Information and Computing Sciences |
Research Group: | Theory of computation |
Research Field: | Computational complexity and computability |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the environmental sciences |
UTAS Author: | Cauchi-Saunders, AJ (Mr Aran Cauchi-Saunders) |
UTAS Author: | Lewis, IJ (Dr Ian Lewis) |
ID Code: | 102064 |
Year Published: | 2015 |
Web of Science® Times Cited: | 12 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2015-07-27 |
Last Modified: | 2017-11-20 |
Downloads: | 0 |
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