Capgemini OpenCL tasks

Tasks were implemented and tested on:

• Windows laptop: GPU: NVIDIA GTX 1050; CPU: Intel Core i7-7700HQ.
• Linux AWS instance machine: GPU: Nvidia Tesla m60; CPU: Intel Xeon CPU E5-2686.

Tasks list:

• vectors addition;
• matrix multiplication using tiles, GPU shared memory, and matrix transposition;
• reduction (sum);
• sorting using a custom implementation of the Bitonic sort algorithm.

Getting Started

As both machines have NVIDIA GPU and installed CUDA toolkit, I've used OpenCL SDK from the CUDA toolkit.

• Install CUDA Toolkit or OpenCL SDK separately.
• [optional] Install Intel CPU Runtime for OpenCL to enable OpenCL on Intel CPU.
• Check OpenCL .lib and headers in the Linux makefile and Windows solution for proper linking.
• Run programs using Make on Linux and Visual Studio 2022 on Windows.