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
Sawala T
(2023)
The timeless timing argument and the total mass of the Local Group
in Monthly Notices of the Royal Astronomical Society: Letters
Salcido J
(2023)
SP(k) - a hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum
in Monthly Notices of the Royal Astronomical Society
Doneva D
(2023)
Testing the limits of scalar-Gauss-Bonnet gravity through nonlinear evolutions of spin-induced scalarization
in Physical Review D
Zamyatina M
(2023)
Observability of signatures of transport-induced chemistry in clear atmospheres of hot gas giant exoplanets
in Monthly Notices of the Royal Astronomical Society
Armijo J
(2023)
A new marked correlation function scheme for testing gravity
Robertson A
(2023)
Why weak lensing cluster shapes are insensitive to self-interacting dark matter
in Monthly Notices of the Royal Astronomical Society
Figueras P
(2023)
Endpoint of the Gregory-Laflamme instability of black strings revisited
in Physical Review D
Elson E
(2023)
Measurements of the angular momentum-mass relations in the Simba simulation
in New Astronomy
Deason A
(2023)
Unravelling the mass spectrum of destroyed dwarf galaxies with the metallicity distribution function
in Monthly Notices of the Royal Astronomical Society
Desmond H
(2023)
On the functional form of the radial acceleration relation
in Monthly Notices of the Royal Astronomical Society
Reeves A
(2023)
Constraining quenching time-scales in galaxy clusters by forward-modelling stellar ages and quiescent fractions in projected phase space
in Monthly Notices of the Royal Astronomical Society
Fancher J
(2023)
On the relative importance of shocks and self-gravity in modifying tidal disruption event debris streams
in Monthly Notices of the Royal Astronomical Society
Bose S
(2023)
The progenitor galaxies of stellar haloes as 'failed' Milky Ways
in Monthly Notices of the Royal Astronomical Society
Aurrekoetxea J
(2023)
GRDzhadzha: A code for evolving relativistic matter on analytic metric backgrounds
Cuesta-Lazaro C
(2023)
Galaxy clustering from the bottom up: a streaming model emulator I
in Monthly Notices of the Royal Astronomical Society
Puchwein E
(2023)
The Sherwood-Relics simulations: overview and impact of patchy reionization and pressure smoothing on the intergalactic medium
in Monthly Notices of the Royal Astronomical Society
Robson D
(2023)
Redshift evolution of galaxy group X-ray properties in the Simba simulations
in Monthly Notices of the Royal Astronomical Society
Kugel R
(2023)
FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning.
in Monthly notices of the Royal Astronomical Society
Ratnasingam R
(2023)
Internal gravity waves in massive stars II. Frequency analysis across stellar mass
in Astronomy & Astrophysics
Bowesman C
(2023)
A hyperfine-resolved spectroscopic model for vanadium monoxide ( 51 V 16 O)
in Molecular Physics
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 |