- A link to the recorded sessions will be made available a.s.a.p after the program has concluded
- A full catalog of all our trainings at SDSC can be found here.
- Description
- Agenda
- Instructors
- All presentations are located in this repository.
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.
All times are in Pacific time.
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 9:00 AM - 9:20 AM | 1.1 Welcome & Orientation | Mary Thomas |
| 9:20 AM – 9:50 AM | 1.2 Access, Accounts, Login, Environment, Expanse User Portal | Mary Thomas |
| 9:50 AM – 10:10 AM | 1.3 Running Jupyter Notebooks on Expanse | Marty Kandes |
| 10:10 AM – 10:30 AM | Q&A, Wrap-up | All |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 8:05 AM | 2.1 Quick Welcome | Mary Thomas |
| 8:05 AM – 9:05 AM | 2.2 Introduction HPC/Cyberinfrastructure | Robert Sinkovits |
| 9:05 AM – 10:05 AM | 2.3 CPU Computing - Hardware, Architecture, Software, Running Jobs | Mary Thomas |
| 10:05 AM – 11:35 AM | 2.4 Data Management and File Systems | Marty Kandes |
| 11:35 AM – 12:05 PM | Break/Lunch | |
| 12:05 PM – 1:50 PM | 2.5 GPU Computing - Hardware architecture and software infrastructure | Andreas Goetz |
| 12:05 PM – 1:50 PM | Q&A, Wrap-up | All |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 8:05 AM | 3.1 Quick Welcome | Mary Thomas |
| 8:05 AM – 9:15 AM | 3.2 Introduction to Singularity: Containers for Scientific and High-Performance Computing |
Marty Kandes |
| 9:15 AM – 11:00 AM | 3.3 CONDA Environments and Jupyter Notebook on Expanse: Scalable & Reproducible Data Exploration and ML | Peter Rose |
| 11:00 AM – 11:30 AM | Break/ Lunch | |
| 11:30 AM – 11:45 AM | 3.4 Machine Learning (ML) Overview Session was skipped, but resources are still availabe |
Mai Nguyen |
| 11:45 AM – 12:15 PM | 3.5 R on HPC Demo | Paul Rodriguez |
| 12:15 PM – 2:15 PM | 3.6 Spark | Mai Nguyen |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 8:05 AM | 4.1 Quick Welcome | Mary Thomas |
| 8:05 AM – 9:05 AM | 4.2 Intro to NN/CNN | Paul Rodriguez |
| 9:05 AM – 10:05 AM | 4.3 Deep Learning | Paul Rodriguez |
| 10:05 AM – 10:50 AM | 4.4 Deep Learning Layers and Models | Mai Nguyen |
| 10:55 AM – 11:25 AM | Break/Lunch | |
| 11:25 AM – 12:25 PM | 4.5 Deep Learning Transfer Learning | Mai Nguyen |
| 12:25 PM – 1:25 PM | 4.6 Deep Learning – Other topics | Paul Rodriguez |
| 1:25 PM – 2:00 PM | Q&A, wrap-up |