NAIRR Training Workshop: Practical HPC and AI-enabled Scientific Workflows.
Event Details
Date: Wednesday, July 15, 2026
Time: 1-5 PM (Eastern Time)
Location: Online (Zoom details shared upon registration)
Presenters: Bithi De (RCAC), Cong Gian (Indiana University), and Treven Knight (Mississippi State University)
Registration: Please register by July 6, 2026—REGISTER HERE
You are invited to join the CI-PIVOT (CyberInfrastructure Professionals InnoVating and brOadening the adoption of advanced Technologies) team for a virtual, hands-on NAIRR training workshop focused on practical high-performance computing and AI-enabled scientific workflows.
Event Overview
The workshop 
will use Purdue’s Anvil system as the primary instructional platform and will introduce participants to the process of preparing, running, comparing, and porting scientific workflows across HPC environments. The training will combine cluster onboarding, MPI-aware HPC usage, comparative Weather Research and Forecasting (WRF) and Pangu-Weather demonstrations, and portable container/Conda-based AI workflow design. For the full schedule, participant requirements and pre-requisites, and registration, see: https://conggian.github.io/WRF_Training_2026/
What You’ll Learn
Anvil-specific HPC onboarding: Open OnDemand, filesystems, Slurm, modules, and a light introduction to MPI as the model for distributed-memory execution on clusters Containerization and AI sidecar workflows: Apptainer definition files and images, build–move–run workflows across systems, and the host-versus-container boundary Conda as a complementary layer for AI tooling and GPU-enabled workflows.
Who Should Attend?
This session is ideal for:
Graduate students, postdoctoral researchers, faculty, research software engineers, and research support personnel who seek a guided introduction to how scientific applications are prepared, executed, compared, and made portable across HPC systems.
No prior experience with Anvil, WRF, Pangu-Weather, Apptainer, or containerization is required. Participants with interests beyond weather modeling are welcome, as the workflow lessons are designed to generalize across computational science domains.
Prerequisites:
- Basic familiarity with Linux command-line navigation
- Basic familiarity with Python is helpful for the AI/Conda portion, but it is not required.
- Prior HPC or Slurm experience is helpful but not required.
Hands-On Participation
To participate in the hands-on components, you must have an ACCESS ID and ensure it has been added to the appropriate project or workshop allocation on Purdue’s Anvil cluster before the session. We recommend testing your login access to Anvil on Open OnDemand in advance at least two weeks in advance.
Registration Reminder
Be sure to register by July 6, 2026 to ensure access to the training environment and resources. Participants should register using their institutional email address rather than a personal email address.