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Source repo: sdsc-summer-institute-2025 | Branch: main | Last synced: 2026-04-24 10:27:17.425 UTC

sdsc-summer-institute-2025

This repository hosts all material and slides of the presentations at the Summer Institute SDSC Summer Institute 2025 website: https://na.eventscloud.com/website/83760/

Interactive Videos

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

For your convenience, we’ve create aliases and symlinks for the Summer Institute

  • srun-shared - start an interactive session on a shared compute node
  • srun-compute – start an interactive session on a compute node
  • srun-gpu-shared – start an interactive session on one GPU
  • jupyter-shared-spark – start a JupyterLab session for Spark on a shared compute node
  • jupyter-compute-tensorflow – start a JupyterLab session for TensorFlow session on a compute node
  • jupyter-gpu-shared-tensorflow – start a JupyterLab session for TensorFlow on one GPU
  • data – symlink to staged data

In the event that you need to explicitly use a reservation, we will provide one for you.

Agenda

All times are in Pacific time.

Tuesday, July 29 - Preparation day (virtual)

TIME (Pacific time)TOPICPRESENTER
9:00 AM – 9:30 AMWelcome & OrientationAndrea Zonca
9:30 AM – 9:45 AMLogistical InformationCindy Wong
9:45 AM – 11:00 AMAccounts, Login, Environment, Running Jobs and Logging into Expanse User PortalBob Sinkovits

Monday, August 4

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMCheck-in & Registration
8:30 AM - 9:30 AMWelcomeAndrea Zonca
9:30 AM - 12:00 PM2.1 Data Management: Data Storage, Data Transfers, File SystemsMarty Kandes
12:00 PM - 1:30 PMLunch
1:30 PM - 3:15 PM2.2 Running Batch and Interactive JobsMary Thomas
3:15 PM - 3:30 PMBreak
3:30 PM - 4:45 PM2.3 Code Migration & Software EnvironmentsMahidhar Tatineni
4:45 PM - 5:15 PMQ&A + Wrap-up
5:30 PM - 7:00 PMEvening Reception - UC San Diego, Seventh College, 15th Floor

Tuesday, August 5

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMCheck-in & Light Breakfast
8:30 AM - 10:30AM3.1 Parallel Computing ConceptsRobert Sinkovits
10:30 AM - 10:45 AMBreak
10:45 AM - 12:00 PM3.2 High Throughput ComputingMarty Kandes
12:00 PM - 1:30 PMLunch
1:30 PM – 2:15 PM3.3 Getting Help Nicole Wolter
2:15 PM - 4:30 PM3.4 Parallel Computing using MPI & Open MPMahidhar Tatineni
4:30 PM - 4:45 PMQ&A + Wrap-up

Wednesday, August 6

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMCheck-in & Light Breakfast
8:30 AM - 9:30 AM4.1 Knowledge Management Jon Stephens
8:30 AM – 10:00 AM4.2 Deep Learning - Part 1Mai Nguyen
Paul Rodriguez
12:00 PM - 1:30 PMLunch
1:30 PM - 4:30 PM4.3 Deep Learning - Part 2Mai Nguyen
Paul Rodriguez
4:30 PM - 4:45 PMQ&A + Wrap-up

Thursday, August 7

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMCheck-in & Light Breakfast
8:30 AM - 9:30 AM5.1 Best Practices for Scientific ComputingFernando Garzon
9:30 AM - 12:00 PM5.2 Performance TuningRobert Sinkovits
12:00 PM - 1:30 PMLunch
1:30 PM - 1:45 PMEmpowering Women in Technology with NetApp & NeuvysCecile Kellam, AI & Analytics Senior Solution Architect- US Public Sector, NetApp
Rebecca Pinheiro, CEO & Founder, Neuvys Technologies
1:45 PM – 4:30 PM5.3 GPU Computing and ProgrammingAndreas Goetz
4:30 PMQ&A + Wrap-up & Group Photo

Friday, August 8, 2025

TIME (Pacific time)TOPICPRESENTER
8:00 AM – 8:30 AMCheck-in & Light Breakfast
8:30 AM – 11:00 AM6.1 Python for HPCAndrea Zonca
11:00 AM – 11:15 AM6.2 Overview of VoyagerAmit Majumdar
11:15 AM - 11:30 AM6.3 Overview of COSMOSMahidhar Tatineni
11:30 AM - 11:45 AM6.4 Overview of Prototype National Research Platform (PNRP)Mahidhar Tatineni
12:15 PM – 12:30 PMClosing RemarksAndrea Zonca

Additional SDSC Resources

Voyager

Voyager is an Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) innovative AI system designed specifically for science and engineering research at scale. Voyager is 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. Featuring the Habana Gaudi training and first-generation Habana inference processors, along with a high-performance, low latency 400 gigabit-per-second interconnect from Arista. Voyager will give researchers the ability to work with extremely large data sets using standard AI tools, like TensorFlow and PyTorch, or develop their own deep learning models using developer tools and libraries from Habana Labs.

Voyager is an NSF-funded system, developed in collaboration with Supermicro, and Intel’s Habana Lab and operated by the San Diego Supercomputer Center at UC San Diego, and began a 3-year testbed phase in early 2022.

  • Voyager: Exploring Habana processor-based AI focused hardware for Science and Engineering Training Session
  • Voyager User Guide HERE.

CloudBank

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.

License

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