HPC Monthly Workshop: Machine Learning and BIG DATA
February 11 & 13, 2026
The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop.
This workshop will focus on topics including big data analytics and machine learning with Spark, as well as deep learning.
This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.
This event is sponsored by the National Science Foundation, there is NO REGISTRATION FEE to attend.
Registration
Interested applicants must first have an ACCESS ID. If you do not have an ACCESS ID, please visit this page to create one:
Once you have an ACCESS ID, please first Login, then complete one of the following registration pages by Monday, February 9 at 11AM Eastern time:
ONCE YOU HAVE LOGGED INTO ACCESS, please click on the site below that you wish to attend and you will be directed to the ACCESS registration system:
- Carnegie Mellon University (PSC)
- University of Central Florida
- University of Delaware
- Georgia Institute of Technology
- Georgia State University
- University of Houston – Clear Lake
- Jet Propulsion Laboratory – NASA (Not Open To Public)
- University of Michigan
- National Center for Supercomputing Applications
- New Mexico State University
- Princeton University
- Purdue University
- Texas Tech University
- West Virginia University
- Yale Center for Research Computing
- More sites may still be added
FAQ
Tentative Agenda
| Wednesday, February 11 All times given are Eastern |
|
|---|---|
| 11:00 | Welcome |
| 11:25 | A Brief History of Big Data |
| 12:20 | Intro to Spark |
| 1:00 | Lunch break |
| 2:00 | More Spark and Exercises |
| 3:00 | Intro to Machine Learning |
| 5:00 | Adjourn |
| Friday, February 13 All times given are Eastern |
|
|---|---|
| 11:00 | Machine Learning: Recommender System with Spark |
| 1:00 | Lunch break |
| 2:00 | Deep Learning with Tensorflow |
| 5:00 | Tying it All Together |
| 5:30 | Adjourn |