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K-Means Clustering with OpenMP by Thìn Nguyễn is a document available to read on EtoBox.

What is K-Means Clustering with OpenMP about?

This document summarizes a report on implementing K-Means clustering using OpenMP for parallelization. It describes K-Means clustering and how it can be parallelized using OpenMP directives and runtime functions. OpenMP provides compiler directives to define parallel regions and distribute work across threads. The key directives discussed are parallel, master, critical, barrier, and single. The implementation uses these directives to parallelize the iterative calculations in K-Means clustering to reduce run

Author

Thìn Nguyễn

Language

EN