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…
Comprehensive Learning for End-users to Effectively Utilize Cyberinfrastructure (COMPLECS) builds the skills needed to use supercomputers: Linux, parallel computing concepts, batch jobs, data management, security and interactive computing.
Many computational and data processing workloads require pre-processing input files to get the data into a forma…
All users of advanced cyberinfrastructure, whether they develop their own software or use 3rd party applications…
Regular expressions (regexes) provide a way to identify strings that match a specified pattern. They are extreme…
Interactive computing refers to working with software that accepts input from the user while it is running. This…
Whether analyzing experimental data collected from devices in the field on a laptop or generating simulated data…
Many computational and data processing workloads require pre-processing input files to get the data into a forma…
