DiRAC-3 Operations 2019-2022 - Edinburgh
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Physics and Astronomy
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Planned Impact
The DiRAC-3 Facility strategy for impact and innovation delivery is well-aligned with the UK government Industrial Strategy. As such, much of our societal and economic impact will continue to be driven by our engagements with industry. Each DiRAC-3 service provider has a local industrial strategy to deliver continued high levels of industrial engagement and to explore avenues to increase innovation and industrial returns over the next three years. Progress towards the industrial strategy goals will be monitored by the Service Management Boards and the DiRAC Technical Manager and reported to STFC via the DiRAC Oversight Committee.
The "Pathways to Impact" document attached to the lead JeS form for this proposal describes the overall DiRAC-3 industrial strategy, including our strategic goals and key performance indicators.
Examples of the expected impact of DiRAC-3 include:
Dissemination of best practice in High Performance Computing software engineering throughout the theoretical Particle Physics, Astronomy and Nuclear physics communities in the UK as well as to industry partners.
Training of the next generation of research scientists to tackle problems effectively on state-of-the- art of High Performance Computing facilities. Such skills are much in demand from high-tech industry and the cadre of highly-skilled, computationally literate individuals nurtured by DiRAC-3 will have influence beyond academia and will help to maintain the UK's scientific and economic leadership.
Development and delivery of co-design projects with industry partners to improve future generations of hardware and software.
Development of new techniques in the area of High Performance Data Analytics which will benefit industry partners and researchers in other fields such as biomedicine, biology, engineering, economics and social science, and the natural environment who can use these developments to improve research outcomes in their areas.
Sharing of best practice on the design and operation of distributed HPC facilities with UK National e-Infrastructure partners and providing leadership towards an integrated UKRI National e-Infrastructure. By supporting the uptake of emerging technologies by the DiRAC research communities, we will enable other research communities, both in academia and industry, to explore the value of using leading-edge technology to support their research workflows.
Engagement with the general public to promote interest in science, and to explain how our ability to solve complex problems using the latest computer technology leads to new scientific capabilities/insights. Engagement of this kind also naturally encourages the uptake of STEM subjects in schools.
The "Pathways to Impact" document attached to the lead JeS form for this proposal describes the overall DiRAC-3 industrial strategy, including our strategic goals and key performance indicators.
Examples of the expected impact of DiRAC-3 include:
Dissemination of best practice in High Performance Computing software engineering throughout the theoretical Particle Physics, Astronomy and Nuclear physics communities in the UK as well as to industry partners.
Training of the next generation of research scientists to tackle problems effectively on state-of-the- art of High Performance Computing facilities. Such skills are much in demand from high-tech industry and the cadre of highly-skilled, computationally literate individuals nurtured by DiRAC-3 will have influence beyond academia and will help to maintain the UK's scientific and economic leadership.
Development and delivery of co-design projects with industry partners to improve future generations of hardware and software.
Development of new techniques in the area of High Performance Data Analytics which will benefit industry partners and researchers in other fields such as biomedicine, biology, engineering, economics and social science, and the natural environment who can use these developments to improve research outcomes in their areas.
Sharing of best practice on the design and operation of distributed HPC facilities with UK National e-Infrastructure partners and providing leadership towards an integrated UKRI National e-Infrastructure. By supporting the uptake of emerging technologies by the DiRAC research communities, we will enable other research communities, both in academia and industry, to explore the value of using leading-edge technology to support their research workflows.
Engagement with the general public to promote interest in science, and to explain how our ability to solve complex problems using the latest computer technology leads to new scientific capabilities/insights. Engagement of this kind also naturally encourages the uptake of STEM subjects in schools.
Organisations
Publications
Gaikwad P
(2020)
Probing the thermal state of the intergalactic medium at z > 5 with the transmission spikes in high-resolution Ly a forest spectra
in Monthly Notices of the Royal Astronomical Society
Correa C
(2020)
The dependence of the galaxy stellar-to-halo mass relation on galaxy morphology
in Monthly Notices of the Royal Astronomical Society
Boyle P
(2020)
Latest Results on Lattice Calculation Concerning K ? p l + l - Decays
in Journal of Physics: Conference Series
Barrera-Hinojosa C
(2020)
GRAMSES: a new route to general relativistic N -body simulations in cosmology. Part I. Methodology and code description
in Journal of Cosmology and Astroparticle Physics
Can K
(2020)
Lattice QCD evaluation of the Compton amplitude employing the Feynman-Hellmann theorem
in Physical Review D
Grand R
(2020)
The biggest splash
in Monthly Notices of the Royal Astronomical Society
Nealon R
(2020)
Rocking shadows in broken circumbinary discs
in Monthly Notices of the Royal Astronomical Society: Letters
Bantilan H
(2020)
Real-Time Dynamics of Plasma Balls from Holography.
in Physical review letters
Sormani M
(2020)
Simulations of the Milky Way's Central Molecular Zone - II. Star formation
in Monthly Notices of the Royal Astronomical Society
Yurchenko S
(2020)
ExoMol line lists - XL. Rovibrational molecular line list for the hydronium ion (H3O+)
in Monthly Notices of the Royal Astronomical Society
Tsang Y
(2020)
Characterising Jupiter's dynamo radius using its magnetic energy spectrum
in Earth and Planetary Science Letters
Witek H
(2020)
Towards numerical relativity in scalar Gauss-Bonnet gravity: 3 + 1 decomposition beyond the small-coupling limit
in Physical Review D
Iyer K
(2020)
The diversity and variability of star formation histories in models of galaxy evolution
in Monthly Notices of the Royal Astronomical Society
Eke V
(2020)
Understanding the large inferred Einstein radii of observed low-mass galaxy clusters
in Monthly Notices of the Royal Astronomical Society
Howson T
(2020)
Phase mixing and wave heating in a complex coronal plasma
in Astronomy & Astrophysics
Soler J
(2020)
The history of dynamics and stellar feedback revealed by the H I filamentary structure in the disk of the Milky Way
in Astronomy & Astrophysics
Barausse E
(2020)
Prospects for fundamental physics with LISA
in General Relativity and Gravitation
McCarthy I
(2020)
The imprint of dark subhaloes on the circumgalactic medium
in Monthly Notices of the Royal Astronomical Society
Mitchell P
(2020)
Galactic outflow rates in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Kraljic K
(2020)
The impact of the connectivity of the cosmic web on the physical properties of galaxies at its nodes
in Monthly Notices of the Royal Astronomical Society
BeraldoĀ eĀ Silva L
(2020)
Geometric properties of galactic discs with clumpy episodes
in Monthly Notices of the Royal Astronomical Society
Wang J
(2020)
Universal structure of dark matter haloes over a mass range of 20 orders of magnitude.
in Nature
Davies CTH
(2020)
Lattice QCD Matrix Elements for the B_{s}^{0}-B[over ¯]_{s}^{0} Width Difference beyond Leading Order.
in Physical review letters
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
| Title | Supplemental data for the report "Optimisation of lattice simulations energy efficiency" |
| Description | Supplemental data for the report "Optimisation of lattice simulations energy efficiency". Also available as a git repository. It contains: Full copy of benchmark run directories Power monitoring scripts Power monitoring raw measurements Power monitoring data analysis and results used in the report For a more complete description, please see the README.md file. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7057644 |
| Title | Supplemental data for the report "Optimisation of lattice simulations energy efficiency" |
| Description | Supplemental data for the report "Optimisation of lattice simulations energy efficiency". Also available as a git repository. It contains: Full copy of benchmark run directories Power monitoring scripts Power monitoring raw measurements Power monitoring data analysis and results used in the report For a more complete description, please see the README.md file. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/7057645 |
