GPU-accelerated terrain processing
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Authors
Li, Wenli
Issue Date
2016-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
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
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY