Are you ready to supercharge your research with parallel programming? Join us for a comprehensive workshop on the Message Passing Interface (MPI), the industry-standard for high-performance computing, using the popular Python programming language.
Why MPI?
- Efficiency: Maximize computational power and speed up your simulations.
- Scalability: Handle massive datasets and complex algorithms effortlessly.
- Flexibility: Integrate MPI into your existing Python workflows.
What You’ll Learn:
- Parallel Computing Fundamentals: Explore concepts like Amdahl’s Law, Gustafson’s Law, and performance metrics.
- MPI Basics: Master essential commands like send, receive, broadcast, scatter, and gather.
- Practical Applications: Implement parallel Python codes for real-world scenarios.
- Hands-On Experience: Learn by doing guided exercises and examples.
Workshop Details:
- Dates: November 19th and 21st
- Location: MC 216
- Time: 4:30-6:30 PM
Don’t miss this opportunity to accelerate your research and achieve improved performance for your results.
Register now: