• eResearch
    • Collaborative Technologies
      • ARDC (Australian Research Data Commons)
      • ARDC Nectar Research Cloud
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      • Video Collaboration
    • Data Management
      • Research Data Management Plans
    • Data Services
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    • eResearch and Security: MFA and CyberSafety
      • Encrypting Data on Portable Devices
    • High Performance Computing
      • The History of CQU’s HPC Facilities
        • Ada Lovelace Cluster (Current)
        • Marie Curie Cluster (Decommissioning)
        • Einstein Cluster (Decommissioned)
        • Isaac Newton HPC Facility (Decommissioned)
      • HPC User Guides and FAQs
        • Basics of working on the HPC
        • Getting started on CQUniversity’s Ada Lovelace HPC System
        • Compiling Programs (and using the optimization flags)
        • Creating a Conda Enviroment
        • Finding Installed Software
        • Frequently Asked Questions
        • Graphical connection HPC via Open On Demand
        • HPC Trouble Shooting
        • LLM’s on Ada Cluster
        • Machine and Deep Learning modules on Ada
        • PBS to Slurm Command tables (HPC Scheduler)
        • Running Python on Ada
        • Simple Unix Commands
        • Slurm Commands
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        • Transferring Files to the HPC System (Ada)
        • Using Abaqus
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        • Using APSIM
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        • Using MATLAB
        • Using R
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      • HPC Sample Code Scripts
        • Multiple Job Submission – Slurm
        • Parameter sweep multiple job – Slurm
        • R Sample Scripts – Slurm
        • Sample Slurm Submission Script
      • HPC Software
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      • Teaching Lab Skills for Scientific Computing

eResearch

HPC Sample Code and Scripts

On the CQ University HPC systems, a number of sample code and scripts have been developed to assist users using the HPC system.

Information on various script can be found at:

  • Sample Slurm Submission Script
  • MATLAB Sample Scripts
  • Multiple Job Submission
  • Python Parameter Sweep 
  • R Sample Scripts

It is hoped that these sample scripts and programs will assist you to develop better processes and assist to increase your research output, by being able to submit many jobs in parallel.

Support

eresearch@cqu.edu.au

tasac@cqu.edu.au OR 1300 666 620

Hacky Hour (3pm – 4pm every Tuesday)

High Performance Computing Teams site