Skip to content

Implementation of k nearest neighbours algorithm using CUDA and C++

License

Notifications You must be signed in to change notification settings

ishbir/CUDA-KNN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

CUDA-KNN

Implementation of k nearest neighbours algorithm using CUDA and C++. Originally developed in University of Iowa with Dr. Suely Oliveiar in Summer, 2012. Code was then substantially improved and optimized for writing an extended essay in Computer Science for the IB program.

Requires thrust library and moderngpu library. For generating the testing times, add the compiled executable in the Testing folder, generate the test case data using dataGenerator.py and start timing using testTimes.py.

You might need to slightly modify the code to get it to work since it was coded a long time ago.

The paper was not published in any journal but is available online at: http://www.ishbir.com/ee.pdf

About

Implementation of k nearest neighbours algorithm using CUDA and C++

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published