2022 CIML Summer Institute

Preparation Day: Wednesday, June 22, 2022 
Summer Institute: Monday, June 27, 2022 - Wednesday, June 29, 2022 

This event will be held virtually.

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 and high-performance computing (HPC) systems.   

This year’s CIML Summer Institute will introduce ML researchers, developers and educators techniques and methods needed to migrate their ML applications from smaller, locally run resources, such as laptops and workstations, to a 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 on SDSC’s Expanse. 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. We also encourage applications from XSEDE Campus Champions.  
 
Registration fee is $50 and will only be charged after your application has been accepted. If the registration fee would preclude you from attending, please contact us directly. 

Prerequisite

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

Program includes:

• Overview of Cyberinfrastructure and High-Performance Computing (HPC)
• Machine Learning Overview, Scalable Machine Learning and Deep Learning
• Team work on prepared training problems

Testimonials: 

I highly recommend this program! It will give you solid understanding of how to make your ML workflow scalable and run it using HPC resources. The content/material is excellent, and the lessons have a really good balance between being broad enough and specific enough. The organization was impeccable. - Bruno, 2021 CIML attendee    

I would gladly recommend this program to any grad student. I found this course very useful as a graduate student. It gave me lots of new exposure on how to use new machine learning frameworks and how to use HPC with machine learning. All the sessions were very understandable and applicable for my own work. - Thivanka, 2021 CIML attendee

How to Apply

Participation in the SDSC's CIML Summer Institute will be limited to approximately 45-50 candidates. Applicants will be screened to make sure that they have the necessary background to benefit from the CIML Institute, but the main selection criterion is that the applicants have a compelling need for the skills being taught at the CIML Institute in their research or teaching.

In addition, we will try to reach the highest number of research institution in the United States (in guidance with XSEDE eligibility) , in particular those that have no access to local supercomputing resources, and we will try to balance attendees from a diverse pool of scientific communities. 

Important Dates

Application Deadline:
Friday, April 15, 2022 

Applicants Notified:
Friday, May 6, 2022 

Accepted applicants to confirm attendance (deadline extended):
Friday, May 27, 2022

SI Preparation Day:
Wednesday, June 22 

Summer Institute:
Monday, June 27 – Wednesday, June 29