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…

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…