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Function for geographical distances calculation that can run on GPU using CUDA.

Project description

Vincenty

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).

CUDA-friendly

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

Installation

$ pip install cuda-friendly-vincenty

Project details


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Files for cuda-friendly-vincenty, version 0.1.2
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