SDSC Summer Institute 2022 material Website
This repository hosts all material and slides of the presentations at the Summer Institute
For your convenience, we’ve create aliases and symlinks for the Summer Institute
- get-cpu – one interactive compute node for 2 hours
- get-gpu – one interactive GPU (in shared queue) for 2 hours
- start-spark – start one-hour Spark session
- start-tf-cpu – start three-hour TensorFlow session (CPU)
- start-tf-gpu – start three-hour TensorFlow session (GPU)
- data – symlink to staged data In the event that you need to explicitly use the reservation, training accounts will have access to SI2021RES for duration of SI
All times are in Pacific time.
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 9:00 AM - 9:25 AM | 1.1 Accounts, Login, Enviroments [Interactive Video] | Mary Thomas |
| 9:25 AM – 10:15 AM | 1.2 Running Jobs on Expanse [Interactive Video] | Mary Thomas |
| 10:15 AM – 11:00 AM | Q&A, Wrap-up | All |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 8:15 PM | Welcome | |
| 8:15 AM – 9:15 AM | 2.1 Parallel Computing Concepts [Interactive Video] | Robert Sinkovits |
| 9:15 AM – 10:00 AM | 2.2 Hardware Overview [Interactive Video] | Andreas Goetz |
| 10:00 AM – 10:15 AM | Break | |
| 10:15 AM – 11:30 AM | 2.3 Intermediate Linux [Interactive Video] | Andreas Goetz |
| 11:30 AM – 12:30 PM | 2.4 Batch Computing [Interactive Video] | Mary Thomas |
| 12:30 PM – 12:45 PM | Break | |
| 12:45 PM – 2:15 PM | 2.5 Data Management [Interactive Video] | Marty Kandes |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 8:30 AM | 3.1 Security [Interactive Video] | Nicole Wolter |
| 8:30 AM – 9:30 AM | 3.2 Interactive Computing [Interactive Video] | Mary Thomas |
| 9:30 AM – 9:45 AM | Break | |
| 9:45 AM – 10:30 AM | 3.3 Getting Help [Interactive Video] | Nicole Wolter |
| 10:30 AM – 11:30 AM | 3.4 Code Migration [Interactive Video] | Mahidhar Tatineni |
| 11:30 AM – 11:45 AM | Break | |
| 11:45 AM – 12:45 PM | 3.5 High Throughput Computing [Interactive Video] | Marty Kandes |
| 12:45 PM – 1:45 PM | 3.6 Linux Tools for File Processing [Interactive Video] | Robert Sinkovits |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 9:30 AM | 4.1a Intro to Git & GitHub [Interactive Video] | Mary Thomas |
| 8:00 AM – 9:30 AM | 4.1b Advanced Git & GitHub [Interactive Video] | Marty Kandes |
| 9:30 AM – 9:45 AM | Break | |
| 9:45 AM – 12:00 PM | 4.2a Python for HPC [Interactive Video] | Mahidhar Tatineni |
| 9:45 AM – 12:00 PM | 4.2b A Short Introduction to Data Science and its Applications [Interactive Video] | Ilkay Altintas Subhasis Dasgupta Shweta Purawat |
| 12:00 PM – 2:30 PM | 4.3a Performance Tuning [Interactive Video] | Robert Sinkovits |
| 12:00 PM – 2:30 PM | 4.3b Scalable Machine Learning [Interactive Video] | Mai Nguyen Paul Rodriguez |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 10:30 AM | 5.1a Scientific Visualization for mesh based data with Visit [Interactive Video] | Amit Chourasia |
| 8:00 AM – 10:30 AM | 5.1b Deep Learning - Part 1 [Interactive Video] | Mai Nguyen Paul Rodriguez |
| 10:30 AM – 10:45 AM | Break | |
| 10:45 AM – 1:30 PM | 5.2a GPU Computing and Programming [Interactive Video] | Andreas Goetz |
| 10:45 AM – 1:30 PM | 5.2b Deep Learning – Part 2 [Interactive Video] | Mai Nguyen Paul Rodriguez |
| 1:30 PM – 2:00 PM | 5.3 An Introduction to Singularity: Containers for Scientific and High-Performance Computing [Interactive Video] | Martin Kandes |
| TIME (Pacific time) | TOPIC | PRESENTER |
|---|---|---|
| 8:00 AM – 11:00 AM | 6.1a Parallel Computing using MPI & Open MP [Interactive Video] | Mahidhar Tatineni |
| 8:00 AM – 11:00 AM | 6.1b Information Visualization Concepts [Interactive Video] | Amit Chourasia |
| 11:00 AM – 11:15 AM | Break | |
| 11:15 AM – 12:00 PM | 6.2 Scaling up Interactive Data Analysis in Jupyter Lab: From Laptop to HPC [Interactive Video] | Peter Rose |
| 12:00 PM – 12:15 PM | Closing Remarks | Robert Sinkovits |
The Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale. Funded by the National Science Foundation, Voyager represents a collaboration with the San Diego Supercomputer Center at UC San Diego, Supermicro, and Intel’s Habana Lab focused on supporting research in science and engineering that is increasingly dependent upon artificial intelligence and deep learning as a critical element in the experimental and/or computational work.
- Voyager: Exploring Habana processor-based AI focused hardware for Science and Engineering Training Session
- Voyager User Guide HERE.
- Voyager video HERE.
CoudBank is a managed service to simplify cloud access for computer science research. CloudBank overview video HERE. DCL funding opportunity for PIs who have existing CISE awards, details HERE.
SeedMe is a scientific data management framework for teams struggling with intractable data.
SeedMeLab overview talk HERE.
All the teaching material in this repository is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
If you are re-using this material, please cite our record on Zenodo