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    • High Performance Computing
      • The History of CQU’s HPC Facilities
        • Ada Lovelace Cluster (New HPC)
        • Marie Curie Cluster (Current HPC)
        • 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
        • Graphical Connection to the HPC System
        • Compiling Programs (and using the optimization flags)
        • Connecting to the Marie Curie Cluster
        • Finding Installed Software
        • Frequently Asked Questions
        • Graphical connection HPC via Open On Demand
        • HPC Job Scheduler
        • HPC Trouble Shooting
        • Machine and Deep Learning
        • PBS Commands
        • PBS to Slurm Command tables (HPC Scheduler)
        • Running LLM’s on the HPC system
        • Running Python on HPC
        • Simple Unix Commands
        • Software Module Information
        • Submitting an Interactive Job
        • Transferring Files to the HPC System
        • Transferring Files to the HPC System (Ada)
        • Using Abaqus
        • Using ANSYS (Fluent) on the HPC System
        • Using APSIM
        • Using HPC Scheduler on Ada Lovelace Cluster
        • Using MATLAB
        • Using R
        • Virtualisation and Containers
      • HPC Community
      • HPC Related Links
      • HPC Sample Code Scripts
        • MATLAB Sample Scripts
        • Multiple Job Submission
        • Multiple Run Job Submission
        • PBS Job Array Submission
        • R Sample Scripts
        • Sample PBS Submission Script
        • Sample Slurm Submission Script
      • HPC Software
        • Mathematica Sample Scripts
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eResearch

High Performance Computing

Welcome to the High Performance Computing (HPC) website for CQUniversity.

On this website, you will find information on the CQUniversity HPC facilities and various HPC documents.

Image of the Marie Curie (Current) HPC System

Why HPC?

Do you need to:

  • Reduce load from your personal computing systems?
  • Increase work or reduce execution time?
  • Run multiple instances of a computer program or simulation?
  • Special resource requirements, such as large memory and/or storage space requirements?
  • Do you need access to specialised software?

If you answer “yes” to any of these questions, then using High Performance Computing might be for you.

Who can use the HPC facilities?

All CQU staff can access the HPC. This includes professional, academic and research staff. Post graduate and 3rd/4th year students can also access CQUni’s HPC facilities for free! Anyone seeking to use the HPC will first need to contact TaSAC to request an account.

 

A list of pages for High Performance Computing are listed below:

  • The History of CQU’s HPC Facilities
    • Ada Lovelace Cluster (New HPC)
    • Marie Curie Cluster (Current HPC)
    • 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
    • Graphical Connection to the HPC System
    • Compiling Programs (and using the optimization flags)
    • Connecting to the Marie Curie Cluster
    • Finding Installed Software
    • Frequently Asked Questions
    • Graphical connection HPC via Open On Demand
    • HPC Job Scheduler
    • HPC Trouble Shooting
    • Machine and Deep Learning
    • PBS Commands
    • PBS to Slurm Command tables (HPC Scheduler)
    • Running LLM’s on the HPC system
    • Running Python on HPC
    • Simple Unix Commands
    • Software Module Information
    • Submitting an Interactive Job
    • Transferring Files to the HPC System
    • Transferring Files to the HPC System (Ada)
    • Using Abaqus
    • Using ANSYS (Fluent) on the HPC System
    • Using APSIM
    • Using HPC Scheduler on Ada Lovelace Cluster
    • Using MATLAB
    • Using R
    • Virtualisation and Containers
  • HPC Community
  • HPC Related Links
  • HPC Sample Code Scripts
    • MATLAB Sample Scripts
    • Multiple Job Submission
    • Multiple Run Job Submission
    • PBS Job Array Submission
    • R Sample Scripts
    • Sample PBS Submission Script
    • Sample Slurm Submission Script
  • HPC Software
    • Mathematica Sample Scripts

Support

eresearch@cqu.edu.au

tasac@cqu.edu.au OR 1300 666 620

Hacky Hour (3pm – 4pm every Tuesday)

High Performance Computing Teams site