https://github.com/soreana/openmp-mpi-workshop
An interactive tutorial on OpenMP & MPI for parallel programming
https://github.com/soreana/openmp-mpi-workshop
Last synced: 6 months ago
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An interactive tutorial on OpenMP & MPI for parallel programming
- Host: GitHub
- URL: https://github.com/soreana/openmp-mpi-workshop
- Owner: soreana
- License: mit
- Created: 2025-02-07T20:41:21.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-07T21:11:10.000Z (8 months ago)
- Last Synced: 2025-04-11T00:57:46.065Z (6 months ago)
- Language: Jupyter Notebook
- Size: 30.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# OpenMP & MPI Interactive Tutorial
## 📌 Overview
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.
## 🚀 Getting Started
### 1️⃣ Clone the Repository
```bash
git clone https://github.com/yourusername/openmp-mpi-workshop.git
cd openmp-mpi-workshop
```
### 2️⃣ Install Dependencies
Ensure that you have **GCC with OpenMP support** and an **MPI implementation** installed:
```bash
# Install OpenMP support (GCC)
sudo apt install gcc
# Install MPI (MPICH or OpenMPI)
sudo apt install mpich
```
### 3️⃣ Run the Jupyter Notebook
Start Jupyter and open the tutorial:
```bash
jupyter lab tutorial.ipynb
```
### 4️⃣ Compile and Run OpenMP/MPI Programs
#### OpenMP Example
```bash
gcc -fopenmp examples/openmp_hello.c -o openmp_hello
./openmp_hello
```
#### MPI Example
```bash
mpicc examples/mpi_hello.c -o mpi_hello
mpirun -np 2 ./mpi_hello
```
## 📖 Topics Covered
- **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
Contributions are welcome! If you find any issues or improvements, feel free to open a **Pull Request**.
## 📜 License
This project is licensed under the MIT License.
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Happy coding! 🚀