pietrobongini / CUDA-ImageConvolution

Implementations of 2D Image Convolution algorithm with CUDA (using global memory, shared memory and constant memory)

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ImageConvolution

Implementations of parallel 2D Image Convolution algorithm with CUDA (using global memory, shared memory and constant memory) and C++11

cudaGlobalMemoryConvolution ---> using global memory of GPU

cudaConstantMemoryConvolution ---> using global memory and the mask in constant memory

cudaSharedMemoryConvolution ---> using shared memory of GPU (tiling)

cudaConstantSharedMemoryConvolution ---> using shared memory and the mask in constant memory (tiling)

  • .ppm image format is used
  • chrono library is used to measure the execution time

INPUT:

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OUTPUT:

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Implementations of 2D Image Convolution algorithm with CUDA (using global memory, shared memory and constant memory)


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Language:C++ 62.7%Language:Cuda 26.8%Language:C 10.5%