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Introduction to High Performance Computing

Event Details:

Wednesday, February 28, 2024
1:00pm - 4:00pm PST

We will be teaching an introduction to high performance computing course on Wednesday February 28 1-4:00pm. The course is based on the Software Carpentries curriculum here.  We will be offering this class about once per quarter.

This workshop is an introduction to using high-performance computing systems effectively. We obviously can’t cover every case or give an exhaustive course on parallel programming in just a few hours of teaching time. Instead, this workshop is intended to give students a good introduction and overview of the tools available and how to use them effectively. 

By the end of this workshop students will know how to:

  • Connect to a cluster
  • Write simple batch scripts    
  • Submit and manage jobs on a cluster    
  • Use a job scheduler (SLURM)   
  • Transfer files    
  • Use software through environment modules with LMOD.    
  • Estimate job RAM and CPU requests

Please note:  This class is for people who are beginners to HPC and SLURM. We will not be going into a deep dive on SLURM or sbatch directives. The class is not for people who already have HPC/SLURM experience. Some Linux command line experience with navigating the filesystem (ls, and cd commands) and editing files (nano) is required.

Location: Virtual via Zoom (will be emailed to participants separately)

Open to Current Stanford Affiliates only. Registration is required, and offered on a first-come first-serve basis. Space is limited, with a waitlist when all slots are full.

Registration: Logging into Google using your Stanford email address and sign-on credentials (you may need to sign out of your personal account first in order to do this), sign up here:

Audience: Stanford Faculty / Staff / Students / Postdocs

Event Sponsors: Stanford Research Computing and the Stanford University Libraries - Carpentries Program

Event Contacts: Mark Piercy,

Lead Instructor: Mark Piercy, Research Computing Technical Liaison 

Workshop Assistants: 

Adam Seishas

Chistina Gancayco

Zhiyong Zhang

Mark Yoder

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