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.

Publications

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Chaikin E (2023) A thermal-kinetic subgrid model for supernova feedback in simulations of galaxy formation in Monthly Notices of the Royal Astronomical Society

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Nixon C (2021) Accretion discs with non-zero central torque in New Astronomy

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Huško F (2023) Active galactic nuclei jets simulated with smoothed particle hydrodynamics in Monthly Notices of the Royal Astronomical Society

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Bourne M (2017) AGN jet feedback on a moving mesh: cocoon inflation, gas flows and turbulence in Monthly Notices of the Royal Astronomical Society

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Bourne M (2021) AGN jet feedback on a moving mesh: gentle cluster heating by weak shocks and lobe disruption in Monthly Notices of the Royal Astronomical Society

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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

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Van der Werf P (2020) An ALMA survey of the SCUBA-2 CLS UDS field: physical properties of 707 sub-millimetre galaxies in Monthly Notices of the Royal Astronomical Society

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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

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Pedersen C (2021) An emulator for the Lyman-a forest in beyond-?CDM cosmologies in Journal of Cosmology and Astroparticle Physics

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Elbers W (2021) An optimal non-linear method for simulating relic neutrinos 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