High performance computing (new) HPCC


Using advanced computer systems and special programming techniques to solve complex computational problems.

Guidance notes


High-performance computing (HPC) is the use of super computers and parallel processing techniques for solving complex computational problems. HPC technology focuses on developing parallel processing algorithms and systems.

High-performance computing is typically used for solving advanced problems and performing research activities through computer modeling, simulation and analysis. 

HPC technology is implemented in a number of disciplinary areas including - but not limited to...

  • biosciences and molecular modeling
  • geographical data
  • oil and gas exploration
  • climate modeling and weather forecasting
  • physical simulations
  • cryptanalysis

The terms high-performance computing and supercomputing are sometimes used interchangeably.

High performance computing (new): Level 7


Directs the creation and review of a cross-functional, enterprise wide approach and culture for high performance computing. Leads the development of the organisation’s high performance computing capabilities and champions its use in solving real world problems.

High performance computing (new): Level 6


Initiates the creation, testing, improvement and application of algorithms that solve real world problems in high performance computing environments. Sets standards and strategies for the use of high performance computing. Leads the implementation of organisational capabilities to ensure appropriate, consistent and effective usage of high performance computing.

High performance computing (new): Level 5


Creates, tests and improves complex high performance computing solutions to address real world problems. Works with stakeholders to ensure high performance computing solutions are effective at addressing their problems. Guides development teams in the appropriate and effective use of high performance computing resources

High performance computing (new): Level 4


Develops moderately complex solutions that use high performance computing environments to address real world problems. Applies a range of high performance computing techniques with sensitivity to the limitations of the techniques. Uses input and feedback from experts as appropriate. Analyses the complexity, scalability and performance of high performance computing algorithms, including massively parallel implementations, and makes or recommends improvements.