Title page for ETD etd-05062015-193319


Type of Document Master's Thesis
Author Gusukuma, Luke
Author's Email Address lukesg08@vt.edu
URN etd-05062015-193319
Title GPU Based Large Scale Multi-Agent Crowd Simulation and Path Planning
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Yong Cao Committee Chair
Dane Webster Committee Member
Richard Benjamin Knapp Committee Member
Keywords
  • CUDA
  • Roadmap
  • GPU
  • Crowd Simulation
  • Parallel Computing
Date of Defense 2015-04-26
Availability unrestricted
Abstract
Crowd simulation is used for many applications including (but not limited to) videogames, building planning, training simulators, and various virtual environment applications. Particularly, crowd simulation is most useful for when real life practices wouldn’t be practical such as repetitively evacuating a building, testing the crowd flow for various building blue prints, placing law enforcers in actual crowd suppression circumstances, etc. In our work, we approach the fidelity to scalability problem of crowd simulation from two angles, a programmability angle, and a scalability angle, by creating new methodology building off of a struct of arrays approach and transforming it into an Object Oriented Struct of Arrays approach. While the design pattern itself is applied to crowd simulation in our work, the application of crowd simulation exemplifies the variety of applications for which the design pattern can be used.
Files
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