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.
Categories
Genetic AlgorithmsLicense
Academic Free License (AFL)Follow gpufsknn
Other Useful Business Software
Auth0 B2B Essentials: SSO, MFA, and RBAC Built In
Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
Rate This Project
Login To Rate This Project
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