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Source repo: ciml-summer-institute-2023 | Branch: main | Last synced: 2026-04-24 10:27:17.425 UTC

ciml-summer-institute-2023

ciml-summer-institute-2023

Website: https://na.eventscloud.com/website/50410/home/​

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, 06/20/23)​

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

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

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 - 9:40 AMBreak
9:40 AM – 11:00 AM2.2 Parallel Computing ConceptsRobert Sinkovits
11:00 AM – 11:10 PMBreak
11:10 AM – 12:30 PM2.3 Running Batch Jobs on SDSC SystemsMarty Kandes
12:30 PM – 1:30 PMLunch
1:30 PM - 2:50 PM2.4 Data Management and File SystemsMahidhar Tatineni
2:50 PM – 3:00 PMBreak
3:00 PM – 4:30 PM2.5 GPU Computing - Hardware architecture and software infrastructureAndreas Goetz
4:30 PM – 5:00 PMQ&A, Wrap-upAll
5:00 PM – 7:00 PMEvening Reception - 15th Floor, the Village

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

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMLight Breakfast & Check-in
8:30 AM – 8:40 AM3.1 Quick Welcome
8:40 AM – 10:00 AM[3.2 Introduction to Singularity: Containers for Scientific and
High-Performance Computing](https://github.com/ciml-org/ciml-summer-institute-2023/tree/main/3.2_introduction_to_singularity)Marty Kandes
10:00 AM – 10:10 AMBreak
10:10 AM – 12:10 PM3.3 CONDA Environments and Jupyter Notebook on Expanse: Scalable & Reproducible Data Exploration and MLPeter Rose
12:10 PM – 1:10 PMLunch
1:10 PM – 1:55 PM3.4 Machine Learning (ML) OverviewMai Nguyen
1:55 PM – 2:25 PM3.5 R on HPC DemoPaul Rodriguez
2:25 PM – 2:35 PMBreak
2:35 PM – 4:35 PM3.6 SparkMai Nguyen
4:35 PM – 5:00 PMQ&A, Wrap-upAll

Deep Learning (Thursday, 06/29/23)​

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMLight Breakfast & Check-in
8:30 AM – 8:40 AM4.1 Quick Welcome
8:40 AM – 10:00 AM4.2 Introduction to Neural Networks and Convolution Neural NetworksPaul Rodriguez
10:00 AM – 10:10 AMBreak
10:10 AM – 11:30 AM4.3 Practical Guidelines for Training Deep Learning on HPCPaul Rodriguez
11:30 PM – 12:30 PMLunch
12:30 PM – 1:15 PM4.4 Deep Learning Layers and ArchitecturesMai Nguyen
1:15 PM – 1:25 PMBreak
1:25 PM – 2:55 PM4.5 Deep Learning Transfer LearningMai Nguyen
2:55 PM - 3:05 PMBreak
3:05 PM – 4:35 PM4.6 Deep Learning – Special ConnectionsPaul Rodriguez
4:35 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
Mahidhar Tatineni, Ph.D.Director for User Support Servicesmtatineni 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