Keywords
intervisiblitity, occlusion, occlusion query, GPU, cluster, line-of-sight, LOS, semi-automated forces, SAF, computer generated forces, CGF
Abstract
In large scale entity-level military force-on-force simulations it is essential to know when one entity can visibly see another entity. This visibility determination plays an important role in the simulation and can affect the outcome of the simulation. When virtual Computer Generated Forces (CGF) are introduced into the simulation these intervisibilities must now be calculated by the virtual entities on the battlefield. But as the simulation size increases so does the complexity of calculating visibility between entities. This thesis presents an algorithm for performing these visibility calculations using Graphical Processing Units (GPU) instead of the Central Processing Units (CPU) that have been traditionally used in CGF simulations. This algorithm can be distributed across multiple GPUs in a cluster and its scalability exceeds that of CGF-based algorithms. The poor correlations of the two visibility algorithms are demonstrated showing that the GPU algorithm provides a necessary condition for a "Fair Fight" when paired with visual simulations.
Notes
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Graduation Date
2004
Semester
Fall
Advisor
Schiavone, Guy
Degree
Master of Science in Computer Engineering (M.S.Cp.E.)
College
College of Engineering and Computer Science
Department
Electrical and Computer Engineering
Degree Program
Computer Engineering
Format
application/pdf
Identifier
CFE0000306
URL
http://purl.fcla.edu/fcla/etd/CFE0000306
Language
English
Release Date
January 2005
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Tracy, Judd, "An Approach For Computing Intervisibility Using Graphical Processing U" (2004). Electronic Theses and Dissertations. 251.
https://stars.library.ucf.edu/etd/251