Cirrus

A general purpose High Performance Computing System for academia and industry.

Cirrus is a high-performance computing system running Linux with a large number of available processing cores connected by a superfast interconnect aimed at academic and industrial users. Users are able to run their own codes, as well as access a range of commercial software tools on a pay-per-use basis. Cirrus has been used to solve simulation and modelling problems in sectors such as engineering, energy, life sciences and financial services but, whatever your discipline, you can use Cirrus for computation, simulation, modelling, and data science. Cirrus can be used by industrial and commercial bodies as well as staff from the University of Edinburgh.

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Find out more about Cirrus

Free or paid for:

Free for academic staff at Scottish universities. For details of obtaining access as a University of Edinburgh member of staff please see the following page:

Access to Cirrus

For Industry users, the cost is £0.0369 per core hour (exclusive of VAT).

Product Features

  • Hardware: 
    • SGI ICE XA system with 280 compute nodes
    • Superfast Infiniband interconnect
    • There are 36 cores per node (18 cores per Intel Xeon “Broadwell” processor) providing 10,080 cores in total
    • Hyperthreading is enabled on each node providing a total of 72 threads per node
    • Each node has 256GB RAM.
    • Local Lustre featuring a single Lustre filesystem with 406 TB of disk space
    • Access to EPCC's considerable data storage and archiving services
  • Software Application:
    • ANSYS Fluent
    • CASTEP
    • CP2K
    • FLACS
    • Gaussian
    • GROMACS
    • HELYX®
    • LAMMPS
    • MATLAB
    • Molpro
    • NAMD
    • OpenFOAM
    • Quantum Espresso (QE)
    • STAR-CCM+
    • VASP

Applicable Disciplines

  • Automotive
  • Oil and Gas
  • Financial Services
  • Aerospace
  • General Engineering
  • Energy
  • Life Sciences

Case Studies

Terms & Conditions

Cirrus terms & conditions of access.

Technical Requirements

  • Internet connection

Skills Required

  • Previous Use of supercomputer or cluster computer services

Support and Training Available