Gadi is Australia’s most powerful supercomputer, a highly parallel cluster comprising more than 180,000 processor cores on ten different types of compute nodes. Gadi accommodates various tasks, from running climate models to genome sequencing, from designing molecules to astrophysical modelling.

Introduction to Gadi is designed for new users, or users that want a refresher on the basics of Gadi.

Prerequisites

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 to work with confidence on Gadi with a basic understanding of

resource accounting
the difference among login, compute and data-mover nodes
job submission and management
module environment, for using software applications
essential skills to plan, track and manage their jobs on Gadi.

Learning Outcomes

At the completion of this training, you will be able to

login to Gadi
transfer data on and off Gadi
run module commands to customise user environment and configure software applications
submit jobs
check and maintain compute, storage, and job status
estimate job cost
request resources 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 nodes and login environment
Shared filesystems and jobfs
Home, lustre, and tape filesystems
Home and project folders
Data transfer and data mover nodes
Compute grant, resource hours and PBS queues
Job submission and output/error logs
Applications, modules and software groups
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 why jobs are not running
Common reasons why jobs fail