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image-convolution

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This project involves performing a valid convolution on a 300x300 image using a 5x5 kernel (stride 1) with multithreading. The goal is to efficiently apply the convolution filter using multiple threads and display the results on a histogram graph. The implementation ensures thread safety and utilizes OpenMP for parallelization.

  • Updated Jul 31, 2024
  • C++

This is an academic experiment comparing CPU and GPU performance using CUDA and OpenMP. It involves implementing three algorithms: Standard Deviation Calculation, Image Convolution, and Histogram-Based Data Structure, optimised for parallel execution to demonstrate performance improvements on different hardware architectures.

  • Updated Jun 29, 2024
  • Cuda

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