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.

This workshop provides an introduction to basic command-line operations and guidelines for working efficiently on Gadi, the high-performance computing (HPC) machine at the National Computational Infrastructure (NCI).

Prerequisites

Access to a shell that supports SSH.
NCI account

Attendees are strongly encouraged to attend the Seminar: Getting Started with Gadi 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

Introduction to HPC, NCI and Gadi
Australian Research Environment (ARE)
Commands on Gadi
- File and Directory Management
- Process Management
- File Transfer
- Text Viewing and Editing
Requesting Resources
- Batch jobs
- Interactive Jobs
Jupyter notebooks in ARE