Getting Started with OzStar

Published

All levels 6 lessons Basic Computing Skills Course Video

Webinar on taking your first steps with the OzStar Super computer.

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Overview

Learn how to access the super computer, apply for an account, and get started with the OzStar file system.

Course lessons

Lesson 1

Introduction to OzStar

This video covers a general overview of the OzSTAR supercomputing environment at Swinburne University of Technology. Providing information on how to apply for an account, how to access the facility, the filesystem and where to run jobs. See https://supercomputing.swin.edu.au and https://supercomputing.swin.edu.au/docs/ for more information.

Lesson 2

Modules on OzStar

Modules: in this installment of the "Getting Started at OzSTAR" series we discuss the software stack on OzSTAR which is a modules based system. We cover the structure of the modules hierarchy, toolchains, dependencies, navigating modules and how to load the modules that you need. See https://supercomputing.swin.edu.au/docs/2-ozstar/Modules.html for more information.

Lesson 3

Ngarrgu Tindebeek

This video describes the hardware available within the OzSTAR supercomputing environment at Swinburne University of Technology and highlights what is new (or the same) with the recently installed Ngarrgu Tindebeek machine compared to the OzSTAR machine installed in 2018. See https://supercomputing.swin.edu.au and https://supercomputing.swin.edu.au/docs/ for more information.

Lesson 4

Slurm on OzStar

Slurm: in this next installment of the "Getting Started at OzSTAR" series we discuss the Slurm job scheduler, show an example script, how to submit a script to the batch queue and how to monitor the progress of your job. See https://supercomputing.swin.edu.au/docs/2-ozstar/oz-partition.html for more information.

Lesson 5

The OzStar Job Monitor

Lesson 6

Python on OzStar

Python: in this final installment of the "Getting Started at OzSTAR" series we briefly discuss how to run your Python code on OzSTAR and Ngarrgu Tindebeek, touching on pre-built toolchains, virtual environments and Conda as options. See https://supercomputing.swin.edu.au/docs/2-ozstar/Python.html for more information.