Featured Speakers: Lipi Gupta and NERSC staff.
Date: Monday, June 15, 2026
Time: 9 a.m. – 12:30 p.m.
Where: In person, location TBD. Virtual: Zoom available
DAYS 1 & 2: The goal of this training is to introduce new users to NERSC and to provide current NERSC users with a review of using Perlmutter with best practices, such as how to build, execute, and submit jobs on Perlmutter and available tools. Topics covered include Computational systems, Accounts and allocations, Programming environment, Running jobs, Tools, and best practices, and the NERSC data ecosystem.
REGISTRATION IS REQUIRED FOR THIS EVENT
Training provided by Lipi Gupta and NERSC staff.
Not sure which NERSC training is for you? Read this PDF to compare all NERSC New User Trainings offered to Summer Program participants.
Featured Speakers: Lipi Gupta and NERSC staff.
Date: Tuesday, June 16, 2026
Time: 9 a.m. – 12:30 p.m.
Where: In person, location TBD. Virtual: Zoom Available
DAYS 1 & 2: The goal of this training is to introduce new users to NERSC and to provide current NERSC users with a review of using Perlmutter with best practices, such as how to build, execute, and submit jobs on Perlmutter and available tools. Topics covered include Computational systems, Accounts and allocations, Programming environment, Running jobs, Tools, and best practices, and the NERSC data ecosystem.
REGISTRATION IS REQUIRED FOR THIS EVENT
Training provided by Lipi Gupta and NERSC staff.
Not sure which NERSC training is for you? Read this PDF to compare all NERSC New User Trainings offered to Summer Program participants.
Featured Speakers: Bert de Jong, Daniela Ushizima.
Date: Thursday, June 18, 2026
Time: 10 a.m. – 11 a.m.
Where: In person, location TBA. Virtual: Zoom Available
Abstracts for this panel are forthcoming.
Presentations by Bert de Jong (Department Head for Computational Sciences, and lead of the Applied Computing for Scientific Discovery Group), and Daniela Ushizima (Senior Scientist, Berkeley Lab Computing Sciences, AMCR Division and CAMERA).
Bert de Jong serves as the Department Head for Computational Sciences, and leads the Applied Computing for Scientific Discovery Group, which advances scientific computing by developing and enhancing applications in key disciplines, as well as developing tools and libraries for addressing general problems in computational science. de Jong is also the Director of the Quantum Systems Accelerator, which is part of the National Quantum Initiative.
Dani Ushizima, Ph.D., is a SENIOR Scientist at Berkeley Lab, also Affiliated Faculty with the Bakar Institute at UC San Francisco, and Berkeley Institute for Data Science (BIDS) at UC Berkeley. She leads the Machine Learning (ML) team for the Center of Advanced Mathematics for Energy Research Applications (CAMERA) at LBNL. Since 1996, Ushizima has investigated, developed and deployed advanced algorithms to extract information from scientific data for decision making. Together with her team at Berkeley Lab, they develop computer vision software that exploits unique ML and datasets from microscopes (e.g. X-ray, electron, tomography) for quantitative analysis.
