Sharing the slides from my presentation on July 9 (a bit late).

What is Spring Training?

• My lab runs an annual “Spring Training.”
• New students are assigned a topic, study it, and present to the lab.
• The lab focuses on HPC (high-performance computing), so talks often cover lower-level topics (OpenMP, MPI, CUDA, etc.). Lately we also have more AI-related topics (PyTorch, Transformers, etc.).
• I was assigned MPI (Message Passing Interface), an API for parallel computing.

Materials

• It’s been about four months since the talk, but here are the materials.
• Slides: MPI Tutorial
• Code: Github - mpi-tutorial

Closing

• I didn’t know MPI at all before preparing the talk, so the process was very instructive.
• Using the university’s supercomputer in a “proper” way requires MPI, so I’m glad I learned it early in my undergrad years.
• It’s not directly related to my current research, but low-level knowledge comes in handy in many situations, and I expect to use what I learned.
• I may write more about MPI when I get the chance.