NERSCPowering Scientific Discovery for 50 Years

Upcoming NERSC Training Events

Performance Portability Training Series: 2023 - 2024

February 26, 2024

This performance portability training series, offered by OLCF, NERSC, and ALCF, features training sessions on various performance portable programming solutions to help ease developer transitions between current and emerging high-performance computing (HPC) systems.

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FUN Training March 2024: Introduction to Parallel Programming in Fortran

March 26, 2024

NERSC is offering virtual hands-on introduction to parallel programming in Fortran on March 26-27, 2024. This event is organized by the Fortran Users of NERSC (FUN) Special Interest Group.  Read More »

 

ALCF AI Training Series: Intro to AI-driven Science on Supercomputers, Feb-Mar 2024

February 6, 2024

The 2024 ALCF AI Training Series will focus on understanding the fundamentals of large-language models (LLMs) and their scientific applications. This 8-session series of hands-on courses teaches attendees to use leading-edge supercomputers to develop and apply AI solutions to the world’s most challenging problems. Read More »

Performance Portability Training Series: 2023 - 2024

February 26, 2024

This performance portability training series, offered by OLCF, NERSC, and ALCF, features training sessions on various performance portable programming solutions to help ease developer transitions between current and emerging high-performance computing (HPC) systems.

Read More »

Forge Training for Debugging and Profiling, March 13, 2024

March 13, 2024

NERSC is hosting a virtual training event 'Forge Training for Debugging and Profiling' on Wednesday, March 13, 2024. Read More »

Performance Portability Series: AMReX Tutorial, Mar 14, 2024

March 14, 2024

The AMReX training session is part of the Performance Portability training series. AMReX supports the development of block-structured AMR algorithms for solving PDEs.The session will give a general overview of AMReX and its applications to develop simulation codes that will work for both CPU and GPU systems. Read More »

FUN Training March 2024: Introduction to Parallel Programming in Fortran

March 26, 2024

NERSC is offering virtual hands-on introduction to parallel programming in Fortran on March 26-27, 2024. This event is organized by the Fortran Users of NERSC (FUN) Special Interest Group.  Read More »

SpinUp Workshop: Apr 2024

April 24, 2024

Spin is a container-based platform at NERSC designed for you to deploy your own science gateways, workflow managers, databases, API endpoints, and other network services to support your scientific projects. Read More »

E3SM Tutorial Workshop, May 7-10, 2024

May 7, 2024

E3SM is a state-of-the-science Earth system model development and simulation project to investigate energy-relevant science using code optimized for DOE's advanced computers. The first-ever in-person E3SM Tutorial Workshop will be held during May 7-10 at NERSC. Read More »

Debugging Challenging Memory and GPU Problems with TotalView, May 13, 2024

May 13, 2024

NERSC is hosting a virtual training event 'Forge Training for Debugging and Profiling' on Wednesday, March 13, 2024. Read More »

SpinUp Workshop: June 2024

June 5, 2024

Spin is a container-based platform at NERSC designed for you to deploy your own science gateways, workflow managers, databases, API endpoints, and other network services to support your scientific projects. Read More »

International HPC Summer School July 2024

July 7, 2024

Graduate students and postdoctoral scholars from institutions in Australia, Europe, Japan, and the United States are invited to apply for the 13th International High Performance Computing (HPC) Summer School, to be held on 7-12 July, 2024 in Kobe, Japan, hosted by the RIKEN Center for Computational Science.  Read More »

Argonne Training Program on Extreme-Scale Computing (ATPESC), Jul-Aug 2024

July 28, 2024

The Argonne Training Program on Extreme-Scale Computing (ATPESC) is an intense, two-week program that focuses on the key skills, approaches, and tools needed to conduct computational science and engineering research on today’s and tomorrow’s high-end supercomputers. Read More »