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
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
Cowley W
(2017)
Blending bias impacts the host halo masses derived from a cross-correlation analysis of bright submillimetre galaxies
in Monthly Notices of the Royal Astronomical Society
Cristini A
(2017)
The First 3D Simulations of Carbon Burning in a Massive Star
in Proceedings of the International Astronomical Union
Cristini A
(2019)
Dependence of convective boundary mixing on boundary properties and turbulence strength
in Monthly Notices of the Royal Astronomical Society
Cuesta-Lazaro C
(2022)
Galaxy clustering from the bottom up: A Streaming Model emulator I
Cuesta-Lazaro C
(2020)
Towards a non-Gaussian model of redshift space distortions
in Monthly Notices of the Royal Astronomical Society
Cuesta-Lazaro C
(2020)
Towards a non-Gaussian model of redshift space distortions
Cuesta-Lazaro C
(2023)
Galaxy clustering from the bottom up: a streaming model emulator I
in Monthly Notices of the Royal Astronomical Society
Cufari M
(2023)
Tidal capture of stars by supermassive black holes: implications for periodic nuclear transients and quasi-periodic eruptions
in Monthly Notices of the Royal Astronomical Society: Letters
Cui W
(2021)
The origin of galaxy colour bimodality in the scatter of the stellar-to-halo mass relation
in Nature Astronomy
Curtis-Lake E
(2023)
The epoch of galaxy quenching
in Nature Astronomy
Czakon M
(2023)
Infrared-safe flavoured anti-kT jets
in Journal of High Energy Physics
Czakon M
(2023)
NNLO B-fragmentation fits and their application to $$ t\overline{t} $$ production and decay at the LHC
in Journal of High Energy Physics
Czakon M
(2023)
A detailed investigation of W+c-jet at the LHC
in Journal of High Energy Physics
D'Silva J
(2023)
Unveiling the main sequence of galaxies at z = 5 with the JWST : predictions from simulations
in Monthly Notices of the Royal Astronomical Society
Dai Z
(2024)
Physics-informed neural networks in the recreation of hydrodynamic simulations from dark matter
in Monthly Notices of the Royal Astronomical Society
Daley-Yates S
(2023)
Heating and cooling in stellar coronae: coronal rain on a young Sun
in Monthly Notices of the Royal Astronomical Society
Daly RT
(2023)
Successful kinetic impact into an asteroid for planetary defence.
in Nature
Davies C
(2021)
Cosmological forecasts with the clustering of weak lensing peaks
Davies C
(2021)
Optimal void finders in weak lensing maps
in Monthly Notices of the Royal Astronomical Society
Davies C
(2022)
Cosmological forecasts with the clustering of weak lensing peaks
in Monthly Notices of the Royal Astronomical Society
| 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 |