Capgemini CUDA tasks

Tasks were implemented and tested in Windows 10 with the Visual Studio CUDA Integration tool and NVCC compiler.

Tasks list:

• vectors addition;
• matrix multiplication using tiles, GPU shared memory, and matrix transposition;
• reduction (sum) with a custom kernel and Nvidia Thrust library for performance comparison;
• sorting using the Nvidia Thrust library.

Getting Started

• Install CUDA Toolkit.
• [Windows] Install Visual Studio 2022 (we need MSVC compiler to compile host code and link with device code for the final executable).
• [Linux] Install gcc compiler.

Compile code using nvcc compiler:

nvcc <program_name>.cu -o <program_name> -O3

Run: ./<program_name>