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:

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