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Cyberinfrastructure-Enabled Machine Learning Summer Institute

06/25/24 - 11:00 AM - 06/27/ - 08:00 PM EDT

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 developers and educators to 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.

Apply Today!
Deadline to apply is Friday, April 12, 2024.

  • Preparation Day (virtual): Tuesday, June 18, 2024, from 9 am - 11 am (Pacific Time)
  • Summer Institute (in-person): Tuesday, June 25 – Thursday, June 27, 2024, from 8 am - 5 pm (Pacific Time)
  • Location: SDSC Auditorium, UC San Diego campus

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  

Visit the CIML website for full details regarding this summer institute. 


"This is an excellent program. It covers a wide range of topics, from the basics of parallel computing to more advanced such as transfer learning. Instructors provide clear and engaging instructions. It is highly recommended.”
- Minh, 2023 CIML attendee

"Yes. The machine learning part is very good, high level of abstract and broad summary, better than many online learning material."
- Yanni, 2023 CIML attendee

2023 CIML Participants

See a full list of SDSC's upcoming training and events:



SDSC Auditorium, UC San Diego

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