This repository provides an interactive tutorial on OpenMP and MPI, covering fundamental parallel computing concepts, practical exercises, and real-world examples. The content is structured for ease of use with step-by-step explanations and runnable code inside a Jupyter Notebook.

git clone https://github.com/yourusername/openmp-mpi-workshop.git
cd openmp-mpi-workshop

Ensure that you have GCC with OpenMP support and an MPI implementation installed:

# Install OpenMP support (GCC)
sudo apt install gcc

# Install MPI (MPICH or OpenMPI)
sudo apt install mpich

Start Jupyter and open the tutorial:

jupyter lab tutorial.ipynb

gcc -fopenmp examples/openmp_hello.c -o openmp_hello
./openmp_hello

mpicc examples/mpi_hello.c -o mpi_hello
mpirun -np 2 ./mpi_hello

• OpenMP Basics: Fork-Join Model, Parallel Loops, Work Sharing
• MPI Basics: Point-to-Point and Collective Communication
• Synchronization: Barriers, Critical Sections, Reduction
• Advanced Concepts: Custom Data Types, Communicators, Hybrid OpenMP+MPI

Contributions are welcome! If you find any issues or improvements, feel free to open a Pull Request.

This project is licensed under the MIT License.

Happy coding! 🚀