Full course description
Term: Spring 2025
Date: May 2nd, 2025
Time: 12:00pm - 1:00pm
Location: Online Only
Instructor: Chris Kuhlman
Presesnted By: Advanced Research Computing (ARC)
Description:
ARC resources, like many cluster computing systems, are intended to satisfy a broad array of computing needs. These include different paradigms like serial and different parallel computing models, as well as different hardware (e.g., multi-core and GPU architectures). To serve these various needs, clusters have a wide range of foundational software that is needed by almost all (or all) users: operating system and shells, various Linux/Unix tools like sed and awk, and the Slurm job submission system. However, most users have “specific needs” in order to achieve their goals, e.g., the use of particular programming language compilers, implementations of standards like MPI [Message Passing Interface], and commercial and/or open-source software such as LAMMPS and ANSYS. Cluster administrators activate or load foundational tools for users when they log in. Then, for specific needs, clusters provide tools that enable users to control and customize their environment (e.g., a user can create many different virtual environments for their different Python codes). In this workshop, we introduce modules but mainly focus on virtual environments (VEs) for users to customize their ARC environments, to get their Python-based work done. Examples are provided.