This CUDA project demonstrates matrix multiplication using both the GPU (via CUDA) and CPU to compare performance. Matrix multiplication is a computationally intensive task, and leveraging the parallel processing power of a GPU can lead to significant speedup.
To run this project, you will need the following:
- NVIDIA GPU with CUDA support.
- CUDA Toolkit installed (Download CUDA Toolkit).
- C/C++ Compiler:
nvcc. - Git (optional, for cloning the repository).