Major upgrade to the University’s flagship High Performance Computing (HPC) service.

Our Application Support team have a wide variety of skills and experience available to researchers. Recently Oliver Woolland helped a researcher from the School of Chemistry to make the most of our GPU offering by running advanced, accelerated applications.

Tom Flint from the Department of Materials was recently awarded the Donald Julius Groen prize for his outstanding paper from the Institution of Mechanical Engineers. Here he explains how the use of CSF was at the heart of his research.

Members of our team recently presented at a Faculty of Humanities workshop designed to raise awareness amongst their researchers of the University’s high performance computing clusters and how we could develop our services to better address their needs.

We are pleased to announce further developments of the CSF3.

Did you know that UGs and PGTs from the Faculty of Science and Engineering can use our HPC Platform for their projects?

As part of the ongoing development of the Research Data Storage (RDS) platform (Isilon), essential work will be taking place on Saturday 5th March.

Continuing investment by the Faculty of Science and Engineering and University research groups is enabling further upgrades of our popular Computational Shared Facility (CSF).

If you are a PI of a project on the HPC Pool and/or a user of the HPC Pool then check your inboxes for your survey link! We need to hear from you to help secure future investment in HPC at the University.

We are pleased to announce a £800k investment for local HPC facilities this summer, both for research and for taught Postgraduate and final year Undergraduate project students, a first for the University.

Research Infrastructure Engineer Daniel Corbett helped researchers from the Department of Chemical Engineering and Analytical Science to successfully apply for time on ARCHER2, the UK national supercomputing service.

The University is seeking to gain a better understanding of both existing and aspirational use of centrally provided computational resources, for both research and for teaching and learning.