CyberInfrastruture-Enabled Machine Learning (CIML) Summer Institute

• Preparation Day (virtual): Tuesday, June 17, 2025 from 9 am - 11 am (Pacific Time)
• Summer Institute (in person): Tuesday, June 24 - Thursday, June 26, 2025 from 8 am - 5:30 pm (Pacific Time)
• Location: San Diego Supercomputer Center Auditorium on the UC San Diego campus

The San Diego Supercomputer Center (SDSC) Cyberinfrastructure-Enabled Machine Learning (CIML) project is focused on teaching researchers and students the best practices for effectively running machine learning (ML) and data science applications on advanced cyberinfrastructure (CI) and high-performance computing (HPC) systems.  

The CIML Summer Institute introduces machine learning (ML) concepts to researchers, developers and educators techniques and methods needed to migrate their ML applications from smaller, locally run resources, such as laptops and workstations, to large-scale HPC systems, such as the SDSC’s Expanse supercomputer. Participants will have the opportunity to accelerate their learning process through highly interactive classes with hands-on tutorials using SDSC’s Expanse.    

In addition, we will try to reach the highest number of research institutions in the United States, in particular those that have no or limited access to advanced supercomputing or CI resources, and we will try to balance attendees from a diverse pool of scientific communities. 

Additionally, attendees will have opportunities to meet one-on-one with SDSC’s experts to discuss in detail the best techniques to solve their specific ML problems.  

Researchers and educators from underrepresented groups and minority serving institutions (MSIs) are strongly encouraged to apply.

Application submissions do not require a fee. A registration will be charged only after the application has been accepted. If the registration fee would preclude you from attending, please contact us directly. Registration includes meals (light breakfast each day, lunch, and one evening reception). 

• Academic, Student, Government and Non-Profit Organizations: $250
• Industry: $500

Prerequisite

• Knowledge or experience with machine learning is required
• Familiarity with UNIX/Linux shell
• Basic programming skills (especially Python) are strongly recommended 

Program includes

• Overview of High-Performance Computing (HPC) and Parallel Computing Concepts
• Instructional and hands-on exercises focused on HPC techniques, Machine Learning, Scalable Machine Learning, Deep Learning, and Large Language Model (LLM) inference
• Team works on prepared training problems