The Indiana University (IU) GPU bootcamp event will take place online, covering two half-day sessions March 30-31, 2021. The bootcamp is designed to teach researchers how artificial intelligence (AI) can accelerate high performance computing (HPC) simulations. To accomplish this, the bootcamp will introduce the concept of deep neural  networks, including data pre-processing, and techniques on how to build, compare, and improve accuracy of deep learning models. The bootcamp will also introduce real-world problems, where participants learn AI concepts with step-by-step instructions using learned techniques.
Indiana University has a range of compute resources available to researchers, The University Information Technology Services Research Technologies division (RT) provides venues such as this bootcamp to develop competence, knowledge, and support for IU researchers. RT enables them to take advantage of existing and future compute resources as well as modern AI and high-performance data analytics (HPDA) methodologies. One component of the RT mission is to deliver training events for researchers and developers in the areas of HPC, AI, and HPDA. These are crucial for current and emerging research challenges. This bootcamp is offered at no cost and open to any researcher at Indiana University (students, faculty, or staff). If your research involves big datasets, or if you have research or engineering projects that you think could benefit from AI methods, then this bootcamp is for you!

Event Format 

The bootcamp will be hosted online in the Eastern time zone. All communication will be done through Zoom, Slack and email. 


To participate, you must be a student, faculty, or staff member at Indiana University. You must be eligible for and create an account on the Carbonate supercomputer prior to the bootcamp. This can be accomplished by selecting the “Create Additional Accounts” task on the portal. 
Basic experience with Python is required. No GPU programming or AI knowledge is necessary.

This event has limited capacity, so please make sure that prerequisites are met before applying. You will receive an acceptance email with details on how to participate.


Day 1 (Intro): March 30, 2021

  • Welcome (Moderator): 9:00 AM EDT
  • Connecting to a cluster: 9:15 AM - 9:30 AM EDT
  • Introduction to GPU computing: 9:30 AM - 10:00 AM EDT (Lecture)
  • Introduction to AI: 10:00AM - 11:00 AM EDT (Lecture)
  • CNN Primer and Keras 101: 11:00 AM - 12:00PM EDT (Lecture and Lab)

Day 2 (Advanced): March 31, 2021

  • Tropical cycle detection: 9:00 AM - 10:30 AM EDT (Lab + Challenge)
  • Break 10:30-10:45 AM EDT
  • Steady Flow Estimation 10:45 AM - 12:15 PM EDT (Challenge) 

Compute Resources

Teams attending the event will be given access to the Carbonate GPU cluster for the duration of the bootcamp.

Event Focus

Important Event Dates

  • IU AI for Science Bootcamp Application Deadline
  • IU AI for Science Bootcamp Day 1
  • AI for Science Bootcamp Day 2