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 [email protected]