Gathering the available programs and representative materials.
Explore our various training programs and recurring series to find the right fit for your learning goals.
Explore emerging research computing methods, from AI and machine learning to performance analysis, visualization, big data and accelerated computing. Sessions introduce tools and practical examples…
Cyberinfrastructure-Enabled Machine Learning (CIML) teaches researchers to scale machine learning and data science from laptops and workstations to high-performance computing systems, with hands-on…
Comprehensive Learning for End-users to Effectively Utilize Cyberinfrastructure (COMPLECS) builds the skills needed to use supercomputers: Linux, parallel computing concepts, batch jobs, data…
San Diego Supercomputer Center (SDSC) webinars introduce research computing tools and practices, including running jobs, managing data, GPU computing, containers, Python and Jupyter notebooks on…
SDSC's HPC and Data Science Summer Institute offers introductory to intermediate training in high-performance computing and data science. Lectures and hands-on exercises help researchers use…
Triton Shared Computing Cluster (TSCC) workshops help researchers access and use UC San Diego's shared HPC system. Topics include accounts, allocations, software environments, filesystems, job…
Explore emerging research computing methods, from AI and machine learning to performance analysis, visualization, big data and accelerated computing. Sessions introduce tools and practical examples for advanced SDSC systems.
This tutorial explores how the National Research Platform (NRP) enables agentic AI development and high-performa…
Most of the performance improvements in the past decade came from GPU compute. Most compute-heavy codes thus hav…
The Expanse AI Resource is available under the NAIRR Pilot program. In this talk we will detail the H100 GPU nod…
