Tutorial Day
Harnessing HPC and AI for Interactive Analysis and Visualization of Large Scientific Datasets with the National Science Data Fabric (NSDF)
Computing resources increasingly span cloud platforms, institutional clusters, and personal laptops. Yet, scientific data is often generated remotely at experimental facilities or supercomputing centers, making data movement a challenge. Scientists need efficient ways to stream, inspect, analyze, and visualize data interactively without transferring large datasets.
This hands-on tutorial demonstrates how the National Science Data Fabric (NSDF) enables interactive, AI-augmented workflows for exploring large scientific datasets. Participants will learn how to stream data from remote public or private storage, analyze data using notebook-based environments, and deploy visualization tools for scientific inference.
Scientists, researchers, students, and engineers working with large datasets. No prior HPC or AI specialization is required.
3 hours across 2 sessions.