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
Ship Agents Faster Icon
Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
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

Game Consoles, Linux

User Interface

Command-line

Programming Language

C++

Related Categories

C++ Genetic Algorithms

Registered

2011-11-10