Skip to content

Implementation in CUDA for finding X points that have a minimum of K nearest points in their vicinity, at a distance of T euclidean units.

Notifications You must be signed in to change notification settings

SurturTawers/CUDA-NearestPoints

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 

Repository files navigation

CUDA-NearestPoints

Implementation in CUDA for finding S points from a K point subset of C (which has all points) that have a minimum of T nearest points in their vicinity, at a maximum distance of d_m euclidean units.

Example Diagram

plot
where we can see that given:

  • A = {p1,p2,p3} a subset of three points (K = 3)
  • T = 8
  • d_m = unknown
    The S solution set is S = {p1,p3} (the point includes itself while counting for T).

About

Implementation in CUDA for finding X points that have a minimum of K nearest points in their vicinity, at a distance of T euclidean units.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages