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Explore practical HPC (High Performance Computing) learning paths, system guides, upcoming events, and supporting resources from the San Diego Supercomputer Center.
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See useful training materials from across the SDSC catalog.
(originally scheduled on Tuesday, September 29, 2020)This webinar covers the basics of accessing SDSC's Expanse supercomputer, managing the user environment, compiling and running…
Most high-performance computing (HPC) systems are specialized resources in high demand and shared simultaneously by many researchers across all domains of science, engineering, and…
This webinar provides a brief introduction to massively parallel computing with graphics processing units (GPUs) on the SDSC Expanse supercomputer. The use of GPUs is popular acros…
Shell scripting is an effective tool for boosting productivity and reducing errors in HPC workflows. Shell scripts can be used to streamline pre- and post-processing tasks, automat…
Regular expressions (regexes) provide a way to identify strings that match a specified pattern. They are extremely useful for preprocessing text and extracting results from high-pe…
The webinar series is hosted by NIAID’s Office of Data Science and Emerging Technologies (ODSET), and delivered by experts from GO FAIR US (GFU). who co-developed the NIAID Bluepri…
Follow a curated sequence of materials toward a learning goal.
Prepare Linux environments, migrate software to HPC, build and run Singularity containers, and organize research code for reproducible execution.
Learn how to access Expanse, schedule work, use interactive environments, and take the next step toward accelerated computing.
Move from parallel computing fundamentals to GPU programming on Expanse, portable SYCL applications, and CPU/GPU performance measurement.
Programs and series connect individual sessions to a recognizable learning context.
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…
