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
Pagano P
(2019)
A New Space Weather Tool for Identifying Eruptive Active Regions
Mitchell M
(2019)
A general framework to test gravity using galaxy clusters II: A universal model for the halo concentration in f(R) gravity
in Monthly Notices of the Royal Astronomical Society
Hilbert S
(2019)
The Accuracy of Weak Lensing Simulations
Davé R
(2019)
simba: Cosmological simulations with black hole growth and feedback
in Monthly Notices of the Royal Astronomical Society
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
Davies C
(2019)
The self similarity of weak lensing peaks
Merson A
(2019)
Linear bias forecasts for emission line cosmological surveys
Lander S
(2019)
Magnetic-field evolution in a plastically failing neutron-star crust
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 |