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GPU enabled XDraw viewshed analysis

journal contribution
posted on 2023-05-18, 11:57 authored by Cauchi-Saunders, AJ, Ian LewisIan Lewis
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.

History

Publication title

Journal of Parallel and Distributed Computing

Volume

84

Pagination

87-93

ISSN

0743-7315

Department/School

School of Information and Communication Technology

Publisher

Academic Press Inc Elsevier Science

Place of publication

525 B St, Ste 1900, San Diego, USA, Ca, 92101-4495

Rights statement

Copyright 2015 Elsevier Inc

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the environmental sciences

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