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Durham University

Advanced Research Computing

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

Introduction to Data Analysis and Machine Learning

18th September 2020, 09:30 to 12:30, Jonathan Frawley

In a world where data sets are expanding rapidly, the analysis and usage of data is becoming increasingly important.

This course will introduce you to some of the fundamental concepts around data analysis.

We will also look at how Machine Learning can be used to both analyse data sets and build software to learn to make decisions based on data.

Topics covered will include:

  • Probability theory
  • Data visualisation and plotting
  • Unsupervised Machine Learning
  • Supervised Machine Learning

This session will be a mix of theory and practical examples which use the Python programming language.

We hope that by the end of the session you have the knowledge to know how data analysis or machine learning can be applied to your research and where to go to learn more or get help.

Sign up and find 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 18th September, the training will take place in TLC205 on the 2nd floor of the Teaching & Learning Centre, South Road.