Training Programs

The Advanced HPC/CI Webinar Series focuses on topics such as AI/machine learning, performance analysis, visualization tools and managing big data which reflect the new and innovative work being done on current and future systems running at SDSC and across the nation.

SDSC's annual Cyberinfrastructure-Enabled Machine Learning (CIML) Summer Institute teaches researchers and students the best practices for effectively running machine learning and data science applications on advanced cyberinfrastructure and high-performance computers.

COMPLECS (Comprehensive Learning for End-Users to Effectively Utilize Cyberinfrastructure) covers non-programming skills needed to effectively use supercomputers. Topics include parallel computing concepts, Linux tools and bash scripting, security, batch computing, how to get help, data management and interactive computing.

This training program provides graduate students and early and mid-career researchers and professionals with a foundational experience to position them for impact throughout their careers on the most challenging societal issues of our time.

This week-long summer workshop focuses on a broad spectrum of introductory-to-intermediate topics in high-performance computing and data science.

The Center for Applied Internet Data Analysis (CAIDA) workshops cover various networking-related topics to promote collaboration among researchers and industry professionals.