NAIS helps to bridge the gap between numerical analysts, computer scientists and HPC software developers by developing new systems of code annotation, new compilers and efficient implementations for application-oriented computational methods such as adaptive finite elements, multiscale modelling, molecular simulation and optimization. 

The research scope and expertise of the NAIS community are wide and varied.  Areas of direct interest include:

  • Flow problems in engineering applications
  • Fast & accurate algorithms for electromagnetic scattering
  • Compilers, computer architecture & software
  • Programmable, yet efficient, memory models for multi processors
  • Core architectures, programmability issues
  • Molecular simulation
  • Parallel programming models
  • Numerical analysis of partial differential equations

As a consequence the potential applications are extensive. 

Do you wish to explore the use of advanced parallel computers in your research/work?  If so get in touch, email us at

For Industry

Potential applications of the NAIS research are wide ranging.  Applications include:

  • Compressible aerodynamics
  • Numerical analysis  on the cloud
  • Climate forecasting
  • Electromagnetic Scattering from targets (microscopic to macroscopic)
  • New architectures for the HPC domain

There are a number of ways to get involved:

  • Participation in training activities (workshops/conferences/seminars)
  • Tailored briefing on NAIS capability relevant to your requirements
  • Influencing/steering future research priorities/topics
  • Joint proposals for funded research (e.g. Case Awards, KTP etc)
  • Directly funded research

To get best value from NAIS, please contact our knowledge transfer officer (email:, tel: 0131 650 9817) to discuss your requirements

For Academia

There are a wide range of research topics covered by NAIS.  NAIS is relevant to all areas of science and engineering interested in using HPC for applications simulations and modelling.  Additionally, there are opportunities to enhance your HPC understanding or share knowledge of novel algorithms and computing techniques.

There are a number of ways to get involved:

  • Participation in training activities (workshops/conferences/seminars)
  • For researchers from the three principal partners (Edinburgh University, Strathclyde University and Heriot-Watt University) participation at the monthly informal research brainstorming forum
  • (in some cases) Tailored support to your research requirements

If you have any questions about NAIS and how it can help you, OR wish to participate in a training event, please do not hesitate to drop us an email at