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C++, OpenMP and CUDA implementation of Mean Shift clustering algorithm

C++ 61.58% CMake 0.51% Python 2.80% Cuda 8.34% TeX 26.76%
openmp-parallelization cuda parallel-computing mean-shift clustering

meanshiftclustering's Introduction

Mean Shift clustering algorithm

Table of Contents

About The Project

Clustering example

Sequential C++ and parallel OpenMP and CUDA implementations of Mean Shift clustering algorithm.

For more information, read the paper located in the repo root.

Built With

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Nvidia GPU with CUDA installed and correctly configured.

Usage

Run C++/main.cpp for the sequential and OpenMP implementation, CUDA/MeanShiftClustering.cu for the CUDA implementation.

Authors

  • Lorenzo Agnolucci

Acknowledgments

Parallel Computing Project © Course held by Professor Marco Bertini - Computer Engineering Master Degree @University of Florence

meanshiftclustering's People

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