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In this project, we solve some problems in CUDA hands-on. These problems appear in [CS344](https://github.com/udacity/cs344), an archived course on parallel programming by Nvidia and Udacity, and have been remastered in [this fork](https://github.com/Adeemj/cs344) to be compatible with modern OpenCV syntax and Google Colab.
In this project, we take on some image processing problems with CUDA on Colab. These problems appear in [CS344](https://github.com/udacity/cs344), an archived course on parallel programming by Nvidia and Udacity, and have been remastered in [this fork](https://github.com/Adeemj/cs344) to be compatible with modern OpenCV syntax and Google Colab.
In `cuda-test.cu`, we write a simple kernel (following one [lecture](https://www.youtube.com/watch?v=ByrK61fNVW0&list=PLAwxTw4SYaPm0z11jGTXRF7RuEEAgsIwH&index=31)) that squares every element in an array. We keep this as a clean template to CUDA's program flow.
