DiRAC-2.5 - the pathway to DiRAC Phase 3
Lead Research Organisation:
Durham University
Department Name: Physics
Abstract
We request funding to relocate the Blue Wonder HPC cluster and associated storage, currently at the Hartree Centre at Daresbury, to Durham, together with installation and hardware maintenance costs. This move would enable DiRAC to expand the current DiRAC-2 Data centric service, managed by Durham, by a factor of two in both computing power and data storage capacity. The new service would be called the DiRAC-2.5 Data Centric service.
Planned Impact
DiRAC would seek to continue to engage with industry at various levels, from the
provision of computing cycles for industrial applications to the
exchange of technical knowledge and shared training programmes. The
facility will serve to train young scientists in the most advanced
techniques for supercomputing. These have extensive applications beyond
academia, for example in industry and finance. Finally, output from Dirac-based
projects will be used for science outreach activities.
provision of computing cycles for industrial applications to the
exchange of technical knowledge and shared training programmes. The
facility will serve to train young scientists in the most advanced
techniques for supercomputing. These have extensive applications beyond
academia, for example in industry and finance. Finally, output from Dirac-based
projects will be used for science outreach activities.
Organisations
Publications
Baugh C
(2019)
Linear bias forecasts for emission line cosmological surveys
in Monthly Notices of the Royal Astronomical Society
Leo M
(2019)
High-redshift test of gravity using enhanced growth of small structures probed by the neutral hydrogen distribution
in Physical Review D
Shao S
(2019)
Evolution of galactic planes of satellites in the eagle simulation
in Monthly Notices of the Royal Astronomical Society
Puchwein E
(2019)
Consistent modelling of the meta-galactic UV background and the thermal/ionization history of the intergalactic medium
in Monthly Notices of the Royal Astronomical Society
Cowley W
(2019)
The evolution of the UV-to-mm extragalactic background light: evidence for a top-heavy initial mass function?
in Monthly Notices of the Royal Astronomical Society
Armitage T
(2019)
An application of machine learning techniques to galaxy cluster mass estimation using the MACSIS simulations
in Monthly Notices of the Royal Astronomical Society
Wijers N
(2019)
The abundance and physical properties of O vii and O viii X-ray absorption systems in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2019)
Simulating the Dark Matter Decay Signal from the Perseus Galaxy Cluster
in The Astrophysical Journal Letters
Lara-Lopez M
(2019)
Oxygen yields as a constraint on feedback processes in galaxies
Van Daalen M
(2020)
Exploring the effects of galaxy formation on matter clustering through a library of simulation power spectra
in Monthly Notices of the Royal Astronomical Society
McCarthy I
(2020)
The imprint of dark subhaloes on the circumgalactic medium
| Description | See Dirac annual report https://dirac.ac.uk |
| Exploitation Route | See Dirac annual report https://dirac.ac.uk |
| Sectors | Digital/Communication/Information Technologies (including Software) Education |
| URL | https://dirac.ac.uk |
