SPS-IT Research IT Symposium

Resources and Services Supporting UC San Diego

Join UC San Diego service providers, faculty, researchers, and students for a half-day program on shared computing resources, streamlined data practices, and national platforms—culminating in a hands-on NVIDIA GPU computing workshop.

Date & Time: Monday, September 15, 2025  |  8:45 AM – 1:00 PM
Location: Natural Sciences Building Auditorium (NSB 1205), UC San Diego
Capacity: Seating limited to 90 in-person participants

Register Now Reserve your spot today.

At-a-Glance
  • • Shared HPC: NAIRR, ACCESS, NRP, SDSC
  • • Data collection & curation
  • • FAIR principles & repositories
  • • SecureConnect in research labs
  • • Hands-on NVIDIA GPU workshop

Program Schedule

Time Topic Details / Speakers
8:45 AM Welcome & Coffee
9:00 AM Keynote: Christine Hrycyna, Dean, School of Physical Sciences
Scientific Data Workflows
Collecting, analyzing, and curating research data
9:20 AM Lab Data Collection Tools & strategies for instruments and repositories
9:40 AM Data Lifecycle & FAIR Principles Repositories for safe, long-term storage (often at little/no cost)
10:00 AM SecureConnect in Labs Protect IP while accelerating research productivity
10:20 AM Compute Everywhere Access to NAIRR, SDSC (Expanse, TSCC, Voyager, Cosmos), and cloud platforms
10:40 AM Coffee Break & Networking Refreshments provided
11:00 AM The National Research Platform Connecting nationwide cyberinfrastructure
11:20 AM – 12:45 PM Hands-On Workshop: NVIDIA & Applied Data Systems Four ways to start with GPU computing:
• Basics of GPU acceleration
• GPU-enabled apps for immediate speed-ups
• Drop-in GPU libraries (minimal code changes)
• Portable models & CUDA for full control
(Bring your laptop; all experience levels welcome.)
12:45 PM Closing & Reflections Looking ahead together
1:00 PM Networking Lunch Provided by Applied Data Systems (HPC friends)
Why Attend
  • Access and leverage shared HPC resources (NAIRR, ACCESS, NRP, SDSC, and more).
  • Optimize lab data collection and curation for reliability and reproducibility.
  • Practice FAIR principles and identify long-term repositories with low/no cost options.
  • Strengthen security and collaboration through campus-wide IT policies and SecureConnect.
  • Gain practical experience with GPUs in the hands-on NVIDIA workshop.

Presented by

  • Biological Sciences
  • Office of Engineering Computing
  • Physics Computing Facility
  • Research IT – ITS

Sponsors & Contributors

  • NVIDIA
  • Applied Data Systems

Don’t miss the chance to mingle with UC San Diego researchers using computational expertise to drive innovation. Register now