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Source repo: ciml-summer-institute-2024 | Branch: main | Last synced: 2026-04-24 10:27:17.425 UTC

ciml-summer-institute-2024

Repository for the CIML 2024 Summer Institute training materials.

Website: https://na.eventscloud.com/website/70695/

Interactive Videos

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

Contents:

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.


Agenda:

All times are in Pacific time.

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

TIME (Pacific time)TOPICPRESENTER
9:00 AM - 9:15 AM1.1 Welcome & OrientationMary Thomas
9:15 AM – 9:45 AM1.2 Accounts, Login, Environment, Running Jobs and Logging into Expanse User PortalMary Thomas
9:45 AM – 10:30 AMQ&A, Wrap-upAll

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

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMLight Breakfast & Check-in
8:30 AM – 9:30 AM2.1 Welcome and IntroductionsMary Thomas
9:30 AM - 10:15 AM2.2 Parallel Computing ConceptsRobert Sinkovits
10:15 AM - 10:30 AMBreak
10:30 AM - 11: 15 AM2.3 Getting Started with Batch Job SchedulingMarty Kandes
11:15 AM - 12:30 PM2.4 Data Management and File SystemsMarty Kandes
12:30 PM - 1:30 PMLunch
1:30 PM - 3:00 PM2.5 GPU Computing - Hardware architecture and software infrastructureAndreas Goetz
3:00 PM - 3:15 PMBreak
3:15 PM - 4:45 PM2.6 Software Containers for Scientific and High-Performance ComputingMarty Kandes
4:45 PM – 5:30 PMQ&A, Wrap-upAll
5:30 PM – 7:00 PMEvening Reception - UC San Diego, Seventh College, 15th Floor

Deep Learning (Wednesday, 06/26/24)

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMLight Breakfast & Check-in
8:30 AM - 8:45 AM3.1 Machine Learning (ML) Overview Mai Nguyen
8:45 AM - 10:15 AM3.2 Introduction to Neural Networks and Convolution Neural NetworksPaul Rodriguez
10:15 AM - 10:30 AMBreak
10:30 AM - 12:00 PM3.3 Practical Guidelines for Training Deep Learning on HPCPaul Rodriguez
12:00 PM - 1:00 PMLunch
1:00 PM - 1:45 PM3.4 Deep Learning Layers and ArchitecturesMai Nguyen
1:45 PM - 3:15 PM3.5 Deep Learning Transfer LearningMai Nguyen
3:15 PM - 3:30 PMBreak
3:30 PM - 5:00 PM3.6 Deep Learning – Special ConnectionsPaul Rodriguez
5:00 PMQ&A, Wrap-upAll

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

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMLight Breakfast & Check-in
8:30 AM – 10:00 AM4.1 CONDA Environments and Jupyter Notebook on Expanse: Scalable & ReproduciblePeter Rose Ph.D.
10:00 AM – 10:15 AMBreak
10:15 AM – 10:45 AM4.2 R on HPC DemoPaul Rodriguez
10:45 AM - 12:15 PM4.3 SparkMai Nguyen
12:15 PM - 1:15 PMLunch
12:30 PM – 1:15 PM4.4 LLM OverviewMai Nguyen
2:15 PM - 2:30 PMBreak
2:30 PM - 4:30 PM4.5 LLM Overview - continuedPaul Rodriguez
4:30 PM – 5:00 PMQ&A, wrap-up

CIML Instructors

NameTitleEmail
Andreas Goetz, Ph.D.Research Scientist, Principal Investigatorawgoetz at ucsd.edu
Mai Nguyen Ph.D.Lead for Data Analyticsmhnguyen at ucsd.edu
Marty Kandes Ph.D.Computational and Data Science Research Specialistmkandes at ucsd.edu
Mary Thomas Ph.D.Director of CIML, Computational Data Scientist, HPC Trainermpthomas at ucsd.edu
Paul Rodriguez Ph.D.Computational Data Scientistp4rodriguez at ucsd.edu
Peter Rose Ph.D.Director for Structural Bioinformatics Laboratorypwrose at ucsd.edu
Robert Sinkovits Ph.D.Director of Education and Trainingrssinkovits at ucsd.edu