GitHub / sephiroth7712 / K-Nearest-Neigbours
Implementation of K-Nearest Neighbors algorithm using multiple parallel computing approaches: CUDA (GPU), Hadoop, Spark, MPI, OpenMP, and PThreads. Demonstrates scalable machine learning across different parallel computing paradigms from GPU to distributed frameworks.
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PURL: pkg:github/sephiroth7712/K-Nearest-Neigbours
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: C++
Size: 19.5 KB
Dependencies parsed at: Pending
Created at: 8 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 4 months ago
Topics: cuda, cuda-programming, hadoop-mapreduce, java, mpi, multiprocessing, multithreading, openmp, pthreads, scala, spark