High Performance Computing

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Identify parallel design patterns applicable to a given compute problem
• Identify performance constraints and predict and measure performance for a given solution
• Choose a framework and approach for solving a given high-performance computing problem
• Identify trade-offs between minimising programmer effort versus environmental impact of excessive compute

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Understand the different types of high-performance computing paradigms available
• Understand the relationship between data and computation, and latency and throughput
• Describe the main frameworks for HPC and their relative strengths and weaknesses

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Apply an existing HPC framework to a data-constrained problem
• Apply an existing HPC framework to a compute-limited problem

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.