High-performance computing terms and conditions


The purpose of this document is to:

  • describe the High-Performance Computing (HPC) services eRSA will provide
  • specify the terms and conditions under which eRSA provides HPC services to researchers and research groups.

Who is eligible to use eRSA HPC

  • Researchers and research students at University of Adelaide, University of South Australia, and Flinders University
  • Researchers from South Australian Government Departments
  • Researchers who are collaborating with the above.


Throughout this page:

  • “eRSA” refers to the system administration services around HPC that eRSA provides
  • “researchers” refers to users of eRSA high-performance computing. This may include research support staff.

High-performance computing services eRSA will provide

eRSA offers TANGO HPC.

Usage quotas

Universities are charged quarterly for the cost of operational support of HPC, based on their researchers’ anticipated proportion of HPC usage.

The amount of HPC usage (quota) is determined by the contributions of the user’s School, Faculty and University to the purchase of the supercomputers. Researchers who subsequently require additional quota can fund the purchase of additional compute nodes to facilitate it.

Users who use more than their quota, either at a particular time or averaged over a period of time, will be warned and may have limits place on their usage; for example, restrictions on the number of jobs they can run at any one time.

Data storage

See eRSA data storage terms and conditions.

Researcher support and service desk

Researcher support

eRSA provides user support including installing application software and assisting users with running jobs.

More detailed and time-consuming support (eg debugging programs, porting programs to run on multiple processors) can be done on a cost recovery basis and by negotiation.

Service desk

The eRSA service desk is available during normal business hours, Monday to Friday, 9:00am to 5:00pm.

eRSA aims to respond within one business day.

Conditions of use

All users must agree to the eRSA general conditions of use to get an account.

eRSA cannot provide HPC for teaching, personal use, or any use other than research.

Want to find out more? Talk to us today.

  • “Having access to greater computer power helps us put in place a more realistic model in terms of the number of atoms you can have in the system and that improves the predictive power of the calculations.”
    Professor Andrea GersonMinerals and Materials Science & Technology
  • "eResearch capabilities ... ensure we can continue to use the latest methods available in our field. The hope is that through the use of these technologies, we will be able to achieve some research outcomes that may otherwise not have been possible.”  
    Professor Ina Bornkessel-SchlesewskyCognitive Neuroscience, UniSA
  • "The eRSA support is very personal and solution-focused and not just a brushing off 'it's-your-fault-check-your-code' kind of support which one sometimes gets from University tech supports. I very much appreciate the help."  
    Sven SchellenbergSchool of Science, RMIT University
  • “It would be impossible to do the type of research that we’re doing without them – it is a major factor in achieving our research outcomes.”  
    Associate Professor Con DoolanSchool of Mechanical Engineering, University of Adelaide
  • “Open source intelligence is about extracting information from blogs, news sites and social media platforms, any information that can be freely accessed online. There’s way too much information out there for an individual or group of people to comprehend, so we have created automated tools to allow our users to extract the data they need...access to the latest technology allow[s] us to continue to provide the best platforms to our end-users.”
    David BlockowData to Decisions CRC
  • “The supercomputing facilities at eResearch SA permit analysis of a host of interesting problems in evolutionary biology. It is the only computer system in SA that can perform certain complex calculations required to infer large evolutionary trees and associated patterns of evolution.”  
    Associate Professor Michael LeeSouth Australian Museum

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