Scaling HPC Education

The MIT SuperCloud and MIT Lincoln Laboratory Supercomputing Center (LLSC) present a special session at IEEE HPEC called Scaling HPC Education. This session is focused on scaling training and education for High Performance Computing (HPC) across many dimensions, including number of users, range of experience, and emerging domains and workforce development.

Each year we select one or two themes for the session. This year the theme is "Scaling Education and Training for Workforce Development". Past themes are listed below.

This year the session will occur on Wednesday, September 27, 2023 15:45 - 17:00 (Eastern Time). Attendees are welcome to stay in the session past 5pm to allow for additional discussion and questions.

If you are interested in learning more about the session contact us at

2023 Speakers

  • James Cuff, MIT Office of Research Computing and Data: Team Building Inside a Highly Decentralized System: The MIT Office of Research Computing and Data
  • Arianna Martin, BP (NAG Partner): High 'Pi'-Performance Computing: Leveraging Raspberry Pis to Introduce Young Learners to HPC, Linux and Parallel Programming.
  • Daniel S. Katz, University of Illinois Urbana Champaign: Training Next Generation AI Users and Developers at NCSA
  • Rocael Hernández Rizzardini, Galileo University: Enhancing Education with AI-Generated Content
  • Miguel Amigot, II, IBL Education: Building AI Mentors with Custom Indexes, Prompts, Guardrails and APIs

Please check back, we will add presentation titles as soon as we receive them.

For the full conference schedule see the agenda page.


Julie Mullen, MIT Lincoln Laboratory Supercomputing Center
Lauren Milechin, MIT Office of Research Computing and Data
Hayden Jananthan, MIT Lincoln Laboratory Supercomputing Center

Past Themes:

2022: Domain Specific HPC Training, Education, and Support
2021: Training for Variety; Methods for Evaluating Training
2020: Professional/Career Training and Education; User Training
2019: Scaling across Campus