High-performance computing HPCC
(unchanged)
Using advanced computer systems and special programming techniques to solve complex computational problems.
SFIA 9 is in development
- SFIA 9 beta due in early July 2024
- SFIA 9 planned for publication October 2024
Guidance notes
(modified)
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 modelling, simulation and analysis.
HPC technology is implemented in a variety of disciplines including, but not limited to:
- biosciences and molecular modelling
- geographical data
- oil and gas exploration
- climate modelling and weather forecasting
- physical simulations
- cryptanalysis.
The terms high-performance computing and supercomputing are sometimes used interchangeably.
Understanding the responsibility levels of this skill
Where lower levels are not defined...
- Specific tasks and responsibilities are not defined because the skill requires a higher level of autonomy, influence, and complexity in decision-making than is typically expected at these levels. You can use the essence statements to understand the generic responsibilities associated with these levels.
Where higher levels are not defined...
- Responsibilities and accountabilities are not defined because these higher levels involve strategic leadership and broader organisational influence that goes beyond the scope of this specific skill. See the essence statements.
Developing skills and demonstrating responsibilities related to this skill
The defined levels show the incremental progression in skills and reponsibilities.
Where lower levels are not defined...
You can develop your knowledge and support others who do have responsibility in this area by:
- Learning key concepts and principles related to this skill and its impact on your role
- Performing related skills (see the related SFIA skills)
- Supporting others with tasks (generic examples are provided by the essence statements for each level)
Where higher levels are not defined...
- You can progress by developing related skills which are better suited to higher levels of organisational leadership.
Levels
Defined at these levels: | 4 | 5 | 6 | 7 |
Click to learn why SFIA skills are not defined at all 7 levels.
Show/hide extra descriptions and levels.
Level 1
Level 2
Level 3
High-performance computing: Level 4
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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 algorithms, including massively parallel implementations, and makes or recommends improvements.
High-performance computing: Level 5
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Creates, tests and improves complex high-performance computing solutions to address real-world problems.
Collaborates 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: Level 6
(unchanged)
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: Level 7
(unchanged)
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.