Function for geographical distances calculation that can run on GPU using CUDA.
Calculate the geographical distance (in kilometers or miles) between 2 points with extreme accuracy.
This library implements Vincenty’s solution to the inverse geodetic problem. It is based on the WGS 84 reference ellipsoid and is accurate to within 1 mm (!) or better.
This formula is widely used in geographic information systems (GIS) and is much more accurate than methods for computing the great-circle distance (which assume a spherical Earth).
This repo is modification of vincenty package. Since CUDA has some limitations (it doesn’t understand try…except, for example) original code can’t run on GPU.
Example: distance between Boston and New York City
>>> from cuda_friendly_vincenty import vincenty >>> boston = (-71.0693514, 42.3541165) >>> newyork = (-73.9680804, 40.7791472) >>> vincenty(*boston, *newyork) 298396.06
$ pip install cuda-friendly-vincenty
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