GPU-accelerated terrain processing

Authors
Li, Wenli
ORCID
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Other Contributors
Franklin, W. Randolph
Carothers, Christopher D.
Cutler, Barbara M.
Radke, Richard J., 1974-
Stewart, Charles V.
Issue Date
2016-08
Keywords
Computer science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
This thesis extends Overdetermined Laplacian Partial Differential Equations (ODET-LAP) for spatial data approximation and compression and parallelizes multiple observer siting on terrain, using General-Purpose Computing on Graphics Processing Units (GPGPU). Both ODETLAP compression and multiple observer siting use greedy algorithms that are parallelizable within iterations but sequential between iterations. They also demonstrate terrain-related research and applications that benefit from GPU acceleration and showcase the achievable speedups.
Description
August 2016
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.