This project was developed as part of the High Performance Computing (HPC) course at ISAE-SUPAERO.
The objective was to leverage OpenMP to parallelize an image compression problem, significantly accelerating the K-means clustering algorithm used for compression. By introducing parallelization, we aimed to demonstrate the performance benefits achievable in practical applications.
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Parallelization of an image compression algorithm.
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