/ciml-summer-institute-2023

ciml-summer-institute-2023

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

ciml-summer-institute-2023

ciml-summer-institute-2023

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, 06/20/23)

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

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HPC & Parallel Concepts (Tuesday, 06/27/23)

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 - 9:40 AM Break
9:40 AM – 11:00 AM 2.2 Parallel Computing Concepts Robert Sinkovits
11:00 AM – 11:10 PM Break
11:10 AM – 12:30 PM 2.3 Running Batch Jobs on SDSC Systems Marty Kandes
12:30 PM – 1:30 PM Lunch
1:30 PM - 2:50 PM 2.4 Data Management and File Systems Mahidhar Tatineni
2:50 PM – 3:00 PM Break
3:00 PM – 4:30 PM 2.5 GPU Computing - Hardware architecture and software infrastructure Andreas Goetz
4:30 PM – 5:00 PM Q&A, Wrap-up All
5:00 PM – 7:00 PM Evening Reception - 15th Floor, the Village

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Scalable Machine Learning (Wednesday, 06/28/23)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Light Breakfast & Check-in
8:30 AM – 8:40 AM 3.1 Quick Welcome
8:40 AM – 10:00 AM 3.2 Introduction to Singularity: Containers for Scientific and
High-Performance Computing
Marty Kandes
10:00 AM – 10:10 AM Break
10:10 AM – 12:10 PM 3.3 CONDA Environments and Jupyter Notebook on Expanse: Scalable & Reproducible Data Exploration and ML Peter Rose
12:10 PM – 1:10 PM Lunch
1:10 PM – 1:55 PM 3.4 Machine Learning (ML) Overview Mai Nguyen
1:55 PM – 2:25 PM 3.5 R on HPC Demo Paul Rodriguez
2:25 PM – 2:35 PM Break
2:35 PM – 4:35 PM 3.6 Spark Mai Nguyen
4:35 PM – 5:00 PM Q&A, Wrap-up All

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Deep Learning (Thursday, 06/29/23)

TIME (Pacific time) TOPIC PRESENTER
8:00 AM – 8:30 AM Light Breakfast & Check-in
8:30 AM – 8:40 AM 4.1 Quick Welcome
8:40 AM – 10:00 AM 4.2 Introduction to Neural Networks and Convolution Neural Networks Paul Rodriguez
10:00 AM – 10:10 AM Break
10:10 AM – 11:30 AM 4.3 Practical Guidelines for Training Deep Learning on HPC Paul Rodriguez
11:30 PM – 12:30 PM Lunch
12:30 PM – 1:15 PM 4.4 Deep Learning Layers and Architectures Mai Nguyen
1:15 PM – 1:25 PM Break
1:25 PM – 2:55 PM 4.5 Deep Learning Transfer Learning Mai Nguyen
2:55 PM - 3:05 PM Break
3:05 PM – 4:35 PM 4.6 Deep Learning – Special Connections Paul Rodriguez
4:35 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
Mahidhar Tatineni, Ph.D. Director for User Support Services mtatineni 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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