Ray-Tracing-Based Geospatial Optimization for Heterogeneous Architectures Enhancing Situational Awareness

@article{Richie2013RayTracingBasedGO,
  title={Ray-Tracing-Based Geospatial Optimization for Heterogeneous Architectures Enhancing Situational Awareness},
  author={David A. Richie and James A. Ross and Song Jun Park and Dale R. Shires},
  journal={2013 IEEE 16th International Conference on Computational Science and Engineering},
  year={2013},
  pages={81-86}
}
  • D. Richie, J. Ross, D. Shires
  • Published 3 December 2013
  • Computer Science
  • 2013 IEEE 16th International Conference on Computational Science and Engineering
This paper presents the implementation of ray tracing-based algorithms for multi-objective geospatial optimization targeting various many-core processing technologies such as graphics processing units, x86 multi-cores, and ARM processors. High performance is achieved through highly parallel core algorithms, executed on multiple compute devices across a heterogeneous architecture using low-level OpenCL kernels. Algorithms for calculating line-of-sight ballistic threat, visual observability… 

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