Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
lib
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.rst

knn logo

GSKNN (General Stride K-Nearest Neighbor) README ---

Thank you for deciding to give GSKNN a try! This code can be used for exact K-Nearest Neighbor search.

See INSTALL on how to install it.

Nearest Neighbor search appears in machine learning, manifold learning and other scientific computing problems.

GSKNN (General Stride K-Nearest Neighbor) is a portable framework that provides a high performance memory efficient nearest neighbors search based on the BLIS framework.

GSKNN has several features. For further details of this project, please check the Githup repo:

https://github.com/ChenhanYu/rnn

To reuse the material of, please cite GSKNN in the following form:

@article{
yu2015performance, title={Performance Optimization for the K Nearest-Neighbor Kernel on x86 Architectures}, author={Yu, Chenhan D. and Huang, Jianyu and Austin, Woody and Xiao, Bo and Biros, George}, year={2015}

}

Thank you again for being intersted in GSKNN!

Best regards,

Chenhan D. Yu chenhan@cs.utexas.edu

About

General Stride K-Nearest Neighbors

Resources

License

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.