Geospatial overlay computation on the GPU

  • Authors:
  • Mark McKenney;Gabriel De Luna;Schiller Hill;Logan Lowell

  • Affiliations:
  • Texas State University;University of Texas;Texas State University;Texas State University

  • Venue:
  • Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Year:
  • 2011

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Abstract

General purpose computing on graphics processing units provides a relatively low cost mechanism to achieve high computational throughput on desktop computers. However, the architecture of GPUs is fundamentally different than CPUs; thus, traditional algorithms cannot simply be run on a GPU. In this paper, we develop algorithms for the line segment intersection problem and the arrangement problem for GPU architectures.