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Gadi is Australia’s most powerful supercomputer, a highly parallel cluster comprising more than 150,000 processor cores on ten different types of compute nodes. Gadi accommodates a wide range of tasks, from running climate models to genome sequencing, from designing molecules to astrophysical modelling. 

Introduction to Gadi - Part 2 naturally follows on from Part 1, and is designed for beginners or users looking for a refresher on Gadi basics.

To register for this training, click here: https://bit.ly/IntroGadi2

If you have any questions regarding this training, please contact nci.communications@anu.edu.au.


Prerequisites

The only prerequisite for this course is that you have an active NCI user account ready for login and submitted jobs on Gadi. If you do not have an NCI user account and/or never submit jobs on Gadi you may register for this course, however you will not be able to take full advantage of any hands-on exercises.

Attendees are strongly encouraged to review the following pages, which contain essential background information, before the course.

Objectives

The training is aiming to empower attendees with the basic skills to plan, track and manage their jobs on Gadi.


Learning outcomes

At the completion of this training you should be able to

    • estimate job cost
    • request resource adequate for your jobs
    • monitor job status/progress and its resource utilisation 
    • understand common reasons why jobs finish with errors
    • ask questions about jobs like a pro 


Topics covered

    • Login, copyq, and different compute nodes
    • Job cost and resource hours
    • PBS directives
    • Tools for job monitoring before, during and after the run
    • Common reasons of why jobs are not running
    • Common reasons of why jobs are failed


Course content

The course content is available as PDF below. Last updated 18 March 2021.

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