HPC Monthly Workshop: Machine Learning and BIG DATA

May 23-24, 2023

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop, sponsored by ACCESS. 

This workshop will focus on topics including big data analytics and machine learning with Spark, and deep learning using Tensorflow.

This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.  The satellite site list(subject to change) is as follows:

  • California State University, San Bernardino
  • Carnegie Mellon University
  • Georgia State University
  • Georgia Institute of Technology
  • University of Houston – Clear Lake
  • Institute for Cyber-Enabled Research at Michigan State University
  • National Center for Supercomputing Applications
  • New York University, High Performance Computing Group
  • Purdue University
  • University of South Carolina Research Computing
  • Stanford University
  • Stony Brook University, Institute for Advanced Computational Science
  • Texas A&M University – San Antonio
  • Texas Tech University
  • Tufts University
  • University of Utah
  • Wichita State University
  • Yale Center for Research Computing


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 complete the following registration page by Sunday, May 21 at Noon Eastern time:

Eventbrite Reservation

Classroom location and further details will be provided once your registration has been processed.  Thank you for your patience.



Tentative Agenda

Tuesday, May 23 
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
Wednesday, May 24 
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