NERSCPowering Scientific Discovery for 50 Years

New User Training: September 7-8, 2023

September 7, 2023


NERSC hosted a virtual training event for new users on two half-days that occurred on Thursday and Friday, September 7-8, 2023. 

This Event has already Occurred.

The goal is to introduce new users to NERSC

  • Computational systems,
  • Accounts and allocations,
  • Programming environment,
  • Running jobs, tools, and best practices, and
  • The NERSC data ecosystem. 

The training will be focused on Perlmutter and using NERSC resources effectively.

Day 1 Agenda

Time (PDT/UTC-7) Topic Presenters
9:00am-09:30am Welcome and Introduction to NERSC

Rebecca Hartman-Baker, PhD (NERSC)

Charles Lively, PhD (NERSC)

Lipi Gupta, PhD (NERSC)

09:30am-09:50am Accounts & Allocations Clayton Bagwell (NERSC)
09:50am-10:20am Navigating NERSC Charles Lively, PhD (NERSC)
10:20am-10:40am Break  
10:40am-11:20am Programming Environment & Compilation Erik Palmer, PhD (NERSC)
11:20am-12:00pm Running Jobs Nicholas Tyler, PhD (NERSC)
12:00pm-12:20pm  Day 1 Wrap-Up & Q&A

Charles Lively, PhD (NERSC)

Lipi Gupta, PhD (NERSC)

Day 2 Agenda

Time (PDT/UTC-7) Topic Presenters
09:00am-09:10am Recap of Day 1 and Follow Up Questions Charles Lively, PhD (NERSC)

Lipi Gupta, PhD (NERSC)

09:10am-09:35am Using Python at NERSC  Daniel Margala
09:35am-10:00am Using Juypter at NERSC Kelly Rowland
10:00am-10:30am Best Practices for Running Jobs, Performance Tools, and Debugging Justin Cook (NERSC)
10:30am-10:45am Break TBD
10:45am-11:05am IO, Data Storage & Sharing Best Practices Lisa Gerhardt, PhD (NERSC)
11:05am-11:30am Deep Learning at NERSC

Steven Farrell, PhD (NERSC)

Shashank Subramanian, PhD (NERSC)

11:30am-12:00pm Interactive Discussion and Q&A

Charles Lively, PhD (NERSC)

Lipi Gupta, PhD (NERSC)

12:00pm-12:15pm Closing Remarks & Final Thoughts

Charles Lively, PhD (NERSC)

Lipi Gupta, PhD (NERSC)

Video Recordings

- Playlist on NERSC YouTube Channel 

Presentation Materials

- Welcome Presentation

- Accounts and Allocations

- Navigating NERSC

- Programming Environment and Compilers

- Running Jobs

- Python

- Jupyter

- Best Practices for Jobs

- Performance Tools

- Debugging

- IO, Data Storage and Sharing Best Practices

- Deep Learning