High Performance Geospatial Analysis on Emerging Parallel Architectures

<p>Geographic information systems (GIS) are performing increasingly sophisticated analyses on growing data sets. These analyses demand high performance. At the same time, modern computing platforms increasingly derive their performance from several forms of parallelism. This dissertation explores the available parallelism in several GIS-applied algorithms: viewshed calculation, image feature transform, and feature analysis. It presents implementations of these algorithms that exploit parallel processing to reduce execution time, and analyzes the effectiveness of the implementations in their use of parallel processing.</p>

Name thesis:degree_name

Doctor of Philosophy in Computer Science (PhD)

Level thesis:degree_level

Dissertation

Year dc:date.available

2011

Author dc:creator

• Warn, Seth

Advisor dc:contributor.advisor

• Apon, Amy W.

Contributors dc:contributor

• Gauch, John M.
• Huang, Miaoqing

• Applied sciences
• Geomatics
• Geospatial analysis
• Parallel architectures
• Sift
• Viewshed
• Computer Sciences
• Systems Architecture

Repository record dc:identifier

https://scholarworks.uark.edu/etd/156

OAI identifier oai:identifier

oai:scholarworks.uark.edu:etd-1155