OpenCL Image Processing: Explore efficient image processing algorithms using OpenCL, a framework for parallel computing. Convert colored images to grayscale for tasks like skin cancer detection, leveraging the ISIC 2020 Challenge Dataset. Includes optimized parallelized algorithms and documentation for seamless implementation.

MPI laboratory project demonstrating collective communication primitives to perform distributed numerical computations on a vector. Implements broadcast, scatter, gather, reduce, and scan operations while managing vector segments across multiple processes (Introduction to Parallel Computing, UNIWA).