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ciml-summer-institute-2024

Repository for the CIML 2024 Summer Institute training materials.

Interactive Videos

  • A full catalog of all our trainings at SDSC can be found here.

Description:

This repository contains all the presentations and training material used for the CIML Summer Institute. To work with the material, remember to CLONE this repo.

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Agenda:

All times are in Pacific time.

Preparation Day (virtual) (Tuesday, 06/20/24)

TIME (Pacific time) TOPIC PRESENTER
9:00 AM - 9:15 AM 1.1 Welcome & Orientation Mary Thomas
9:15 AM – 9:45 AM 1.2 Accounts, Login, Environment, Running Jobs and Logging into Expanse User Portal Mary Thomas
9:45 AM – 10:30 AM Q&A, Wrap-up All

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HPC & Parallel Concepts (Tuesday, 06/25/24)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Light Breakfast & Check-in
8:30 AM – 9:30 AM 2.1 Welcome and Introductions Mary Thomas
9:30 AM - 10:15 AM 2.2 Parallel Computing Concepts Robert Sinkovits
10:15 AM - 10:30 AM Break
10:30 AM - 11: 15 AM 2.3 Getting Started with Batch Job Scheduling Marty Kandes
11:15 AM - 12:30 PM 2.4 Data Management and File Systems Marty Kandes
12:30 PM - 1:30 PM Lunch
1:30 PM - 3:00 PM 2.5 GPU Computing - Hardware architecture and software infrastructure Andreas Goetz
3:00 PM - 3:15 PM Break
3:15 PM - 4:45 PM 2.6 Software Containers for Scientific and High-Performance Computing Marty Kandes
4:45 PM – 5:30 PM Q&A, Wrap-up All
5:30 PM – 7:00 PM Evening Reception - UC San Diego, Seventh College, 15th Floor

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Deep Learning (Wednesday, 06/26/24)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Light Breakfast & Check-in
8:30 AM - 8:45 AM 3.1 Machine Learning (ML) Overview Mai Nguyen
8:45 AM - 10:15 AM 3.2 Introduction to Neural Networks and Convolution Neural Networks Paul Rodriguez
10:15 AM - 10:30 AM Break
10:30 AM - 12:00 PM 3.3 Practical Guidelines for Training Deep Learning on HPC Paul Rodriguez
12:00 PM - 1:00 PM Lunch
1:00 PM - 1:45 PM 3.4 Deep Learning Layers and Architectures Mai Nguyen
1:45 PM - 3:15 PM 3.5 Deep Learning Transfer Learning Mai Nguyen
3:15 PM - 3:30 PM Break
3:30 PM - 5:00 PM 3.6 Deep Learning – Special Connections Paul Rodriguez
5:00 PM Q&A, Wrap-up All

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Scalable Machine Learning & Large Language Model (Thursday, 06/27/24)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Light Breakfast & Check-in
8:30 AM – 10:00 AM 4.1 CONDA Environments and Jupyter Notebook on Expanse: Scalable & Reproducible Peter Rose Ph.D.
10:00 AM – 10:15 AM Break
10:15 AM – 10:45 AM 4.2 R on HPC Demo Paul Rodriguez
10:45 AM - 12:15 PM 4.3 Spark Mai Nguyen
12:15 PM - 1:15 PM Lunch
12:30 PM – 1:15 PM 4.4 LLM Overview Mai Nguyen
2:15 PM - 2:30 PM Break
2:30 PM - 4:30 PM 4.5 LLM Overview - continued Paul Rodriguez
4:30 PM – 5:00 PM Q&A, wrap-up

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CIML Instructors

Name Title Email
Andreas Goetz, Ph.D. Research Scientist, Principal Investigator awgoetz at ucsd.edu
Mai Nguyen Ph.D. Lead for Data Analytics mhnguyen at ucsd.edu
Marty Kandes Ph.D. Computational and Data Science Research Specialist mkandes at ucsd.edu
Mary Thomas Ph.D. Director of CIML, Computational Data Scientist, HPC Trainer mpthomas at ucsd.edu
Paul Rodriguez Ph.D. Computational Data Scientist p4rodriguez at ucsd.edu
Peter Rose Ph.D. Director for Structural Bioinformatics Laboratory pwrose at ucsd.edu
Robert Sinkovits Ph.D. Director of Education and Training rssinkovits at ucsd.edu

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