Advanced Research Computing
Advanced Research Computing (ARC) is a dedicated computing support unit within the Research Division of the University. We support academic researchers in all faculties across the University, where there is a requirement for the use of computers as part of their research. We provide facilities and expertise, connect people across different disciplines, and build on the services provided by Computing and Information Services. Our range of activity extends from simple coding assistance through to supporting computationally intensive research requiring High Performance Computing.
Northern Intensive Computing Environment
The N8 Centre of Excellence in Computationally Intensive Research, N8 CIR, has been awarded £3.1m from the Engineering and Physical Sciences Resources Council to establish a new Tier 2 computing facility in the north of England. This investment will be matched by £5.3m from the eight universities in the N8 Research Partnership which will fund operational costs and dedicated research software engineering support.
The new facility, known as the Northern Intensive Computing Environment or NICE, will be housed at Durham University and co-located with the existing STFC DiRAC Memory Intensive National Supercomputing Facility. NICE will be based on the same technology that is used in current world-leading supercomputers and will extend the capability of accelerated computing. The technology has been chosen to combine experimental, modelling and machine learning approaches and to bring these specialist communities together to address new research challenges.
Click here for more information on NICE19.
News & Events
Using the Hamilton Supercomputer
This course gives an introduction in the necessary basics for using Durham University's supercomputer Hamilton. This includes:
- an overview of Hamilton's architecture,
- how to login to a supercomputer,
- how to get data and code onto the computer, and how to get the results off it,
- how to run your code,
- useful Linux commands to navigate on a supercomputer,
- the Slurm queueing system, useful Slurm commands and example jobscripts,
- the module environment and how to load the necessary software packages for your code.
The course will NOT, however, cover how to parallelise or optimise your code to make best use of the parallel computing system.
Sign up and find out more information here.
Due to the uncertainty with COVID-19 and the University closure, this course will be scheduled online. Your course provider will contact you with their preferred app that they’ll be using to run this. If the University re-opens on 19th October, the training will take place in TLC205 on the 2nd floor of the Teaching & Learning Centre, South Road.
Contact email@example.com for more information about this event.