Speeding up large-scale point-in-polygon test based spatial join on GPUs

@inproceedings{Zhang2012SpeedingUL,
  title={Speeding up large-scale point-in-polygon test based spatial join on GPUs},
  author={Jianting Zhang and Simin You},
  booktitle={BigSpatial@SIGSPATIAL},
  year={2012}
}
Point-in-Polygon (PIP) test is fundamental to spatial databases and GIS. Motivated by the slow response times in joining large-scale point locations with polygons using traditional spatial databases and GIS, we have designed and developed an end-to-end system completely on Graphics Processing Units (GPUs) to associate points with the polygons that they fall within by utilizing massively data parallel computing power of GPUs. The system includes an efficient module to generate point quadrants… CONTINUE READING
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