A practical introduction to High Performance Computing (HPC) for researchers working with computationally demanding analyses and large datasets.

High Performance Computing systems are widely used in fields such as bioinformatics, machine learning, image analysis and large-scale data processing. This course introduces the core concepts needed to work effectively on HPC systems, including accessing remote servers, managing files, running analyses and scheduling jobs using SLURM.

Participants learn how HPC systems are organised, how to interact with them using the Unix command line and how to develop efficient workflows for computational research.

By the end of the course, participants should be able to:

• describe what an HPC system is and how it differs from a standard computer
• distinguish between login nodes and compute nodes
• connect to and work on remote HPC systems using the command line
• transfer files to and from HPC systems using graphical and command-line tools
• understand the role of job schedulers and computational resource management
• submit and monitor jobs using the SLURM scheduler
• use SLURM job arrays to parallelise similar analyses efficiently
• apply HPC workflows to their own computational research projects

The course is highly practical, combining presentations, demonstrations and hands-on exercises throughout.

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== Intended audience ==

This course is suitable for:

• researchers and students who need to run computationally intensive analyses
• participants working with bioinformatics, machine learning, image analysis or large datasets
• researchers interested in learning how to use remote Linux servers and HPC systems
• participants who currently run demanding analyses on personal computers and want to scale their workflows
• researchers who have completed introductory Unix training and want to extend those skills to HPC environments

== Course fees ==

All fees are per full training day.

{| class="wikitable"
|-
! Category
! Fee
|-
| Industry full charge
| £130.00
|-
| Academic / Government / charity concessionary
| £65.00
|-
| Cambridge University staff members / postdocs / visitors
| £65.00
|-
| Cambridge University registered students
| Free
|-
| Cambridge University registered students non-attendance
| £22.00
|-
| Special events
| Per event
|}

Payment options will be provided in booking confirmation emails sent after registration.

More details…

== General information ==

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