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
Murtas G
(2022)
Collisional ionization and recombination effects on coalescence instability in chromospheric partially ionized plasmas
in Physics of Plasmas
Hellinger P
(2022)
Ion-scale transition of plasma turbulence: Pressure-strain effect
Buividovich P
(2022)
Quantum chaos in supersymmetric quantum mechanics: An exact diagonalization study
in Physical Review D
Sawala T
(2022)
The SIBELIUS Project: E Pluribus Unum
in Monthly Notices of the Royal Astronomical Society
Forouhar Moreno V
(2022)
Baryon-driven decontraction in Milky Way-mass haloes
in Monthly Notices of the Royal Astronomical Society
Bahé Y
(2022)
The importance of black hole repositioning for galaxy formation simulations
in Monthly Notices of the Royal Astronomical Society
Lovell C
(2022)
A machine learning approach to mapping baryons on to dark matter haloes using the eagle and C-EAGLE simulations
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 |
