A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc.

Project Samples

Project Activity

See All Activity >

License

Academic Free License (AFL)

Follow gpufsknn

gpufsknn Web Site

Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
0
1
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5

User Reviews

  • Is it possible to run A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem, compiled and run able on windows platform ?? i really need your help kindly help me. if possible then describe me procedure
Read more reviews >

Additional Project Details

Operating Systems

Linux, Game Consoles

User Interface

Command-line

Programming Language

C++

Related Categories

C++ Genetic Algorithms

Registered

2011-11-10