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
Salcido J
(2019)
How feedback shapes galaxies: an analytic model
Meru F
(2019)
Is the ring inside or outside the planet?: the effect of planet migration on dust rings
in Monthly Notices of the Royal Astronomical Society
Guervilly C
(2019)
Turbulent convective length scale in planetary cores.
in Nature
Arnold C
(2019)
Simulating galaxy formation in f(R) modified gravity: matter, halo, and galaxy statistics
in Monthly Notices of the Royal Astronomical Society
Tröster T
(2019)
Painting with baryons: augmenting N -body simulations with gas using deep generative models
in Monthly Notices of the Royal Astronomical Society: Letters
Davis T
(2019)
Evolution of the cold gas properties of simulated post-starburst galaxies
in Monthly Notices of the Royal Astronomical Society
Merson A
(2019)
Linear bias forecasts for emission line cosmological surveys
Bourne M
(2019)
AGN jet feedback on a moving mesh: lobe energetics and X-ray properties in a realistic cluster environment
in Monthly Notices of the Royal Astronomical Society
Christiansen J
(2019)
Jet Feedback and the Photon Underproduction Crisis in Simba
Ludlow A
(2019)
Energy equipartition between stellar and dark matter particles in cosmological simulations results in spurious growth of galaxy sizes
in Monthly Notices of the Royal Astronomical Society: Letters
Müller B
(2019)
Three-dimensional simulations of neutrino-driven core-collapse supernovae from low-mass single and binary star progenitors
in Monthly Notices of the Royal Astronomical Society
Baes M
(2019)
The cosmic spectral energy distribution in the EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Mitchell M
(2019)
A general framework to test gravity using galaxy clusters II: A universal model for the halo concentration in f(R) gravity
in Monthly Notices of the Royal Astronomical Society
Davies C
(2019)
Cosmological test of gravity using weak lensing voids
Young R
(2019)
Simulating Jupiter's weather layer. Part II: Passive ammonia and water cycles
in Icarus
| 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 |