GPU Accelerated Image Filters | GPU Cache & Constant Memory | CUDA C/C++

Apply filters to high-resolution images using GPU-accelerated convolution. Code Repository: https://github.com/tgautam03/xFilters... Video Notes and Code Explainers: https://0mean1sigma.com/xfilters/ Animations: https://github.com/tgautam03/0Mean1Sigma Other Projects: https://0mean1sigma.com/mini-projects/ References: 1. Kirk, David B., and W. Hwu Wen-Mei. Programming massively parallel processors: a hands-on approach. Morgan kaufmann, 2016. 2. Ansorge, Richard. Programming in parallel with CUDA: a practical guide. Cambridge University Press, 2022. 3. Memory types in GPU by CisMine Ng: https://github.com/CisMine/Parallel-C... 4. Shouldn't be 3x3 convolution much faster on GPU (OpenCL): https://stackoverflow.com/questions/4... Chapters: 00:00 - Introduction 00:20 - What is Convolution 01:54 - Naive GPU Convolution 02:28 - Constant and Shared Memory 04:24 - Caches and Pinned Memory 06:27 - Conclusion