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
Carrillo A
(2024)
Can we really pick and choose? Benchmarking various selections of Gaia Enceladus/Sausage stars in observations with simulations
in Monthly Notices of the Royal Astronomical Society
Cuesta-Lazaro C
(2023)
Galaxy clustering from the bottom up: a streaming model emulator I
in Monthly Notices of the Royal Astronomical Society
Mitchell M
(2021)
A general framework to test gravity using galaxy clusters - V. A self-consistent pipeline for unbiased constraints of f ( R ) gravity
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
Henden N
(2018)
The FABLE simulations: a feedback model for galaxies, groups, and clusters
in Monthly Notices of the Royal Astronomical Society
Schwinn J
(2018)
Uncovering substructure with wavelets:proof of concept using Abell 2744
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
Hernández-Aguayo C
(2018)
Marked clustering statistics in f(R) gravity cosmologies
in Monthly Notices of the Royal Astronomical Society
Sykes C
(2020)
Determining the primordial helium abundance and UV background using fluorescent emission in star-free dark matter haloes
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 |