Date of Graduation
12-2011
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Computer Science (PhD)
Degree Level
Graduate
Department
Computer Science & Computer Engineering
Advisor/Mentor
Amy W. Apon
Committee Member
John Gauch
Second Committee Member
Miaoqing Huang
Third Committee Member
Jackson Cothren
Keywords
Applied sciences, Geomatics, Geospatial analysis, Parallel architectures, Sift, Viewshed
Abstract
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.
Citation
Warn, S. (2011). High Performance Geospatial Analysis on Emerging Parallel Architectures. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/156