Geolocating a Random Island Using Geometry and CUDA Programming

A developer solves an OSINT challenge by writing a CUDA program that searches the entire globe for a match to a photo of a resort island. The approach involves extracting geometric fingerprints (triangle angles, distances), filtering OpenStreetMap land polygons, and using GPU parallel processing to test 80 million candidate triangles in 204 milliseconds. After narrowing down with shape and vegetation checks, the island is identified.
80.7 million triples go in, one thread each, in parallel. 158,784 pass the mask.