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
Lance S
(2024)
Viscous dissipation and dynamics in simulations of rotating, stratified plane-layer convection
in Monthly Notices of the Royal Astronomical Society
Haworth T
(2021)
Warm millimetre dust in protoplanetary discs near massive stars
in Monthly Notices of the Royal Astronomical Society
Anisman L
(2020)
WASP-117 b: An Eccentric Hot Saturn as a Future Complex Chemistry Laboratory
in The Astronomical Journal
Coulton W
(2020)
Weak lensing minima and peaks: Cosmological constraints and the impact of baryons
in Monthly Notices of the Royal Astronomical Society
Saló LA
(2022)
Well-Posedness of the Four-Derivative Scalar-Tensor Theory of Gravity in Singularity Avoiding Coordinates.
in Physical review letters
Ryczanowski D
(2020)
What does strong gravitational lensing? The mass and redshift distribution of high-magnification lenses
in Monthly Notices of the Royal Astronomical Society
Hagen S
(2024)
What drives the variability in AGN? Explaining the UV-Xray disconnect through propagating fluctuations
in Monthly Notices of the Royal Astronomical Society
Clough K
(2024)
What no one has seen before: gravitational waveforms from warp drive collapse
in The Open Journal of Astrophysics
Hughes M
(2021)
What to expect when using globular clusters as tracers of the total mass distribution in Milky Way-mass galaxies
in Monthly Notices of the Royal Astronomical Society
Aurrekoetxea J
(2022)
Where is the ringdown: Reconstructing quasinormal modes from dispersive waves
in Physical Review D
Bulla M
(2020)
White dwarf deflagrations for Type Iax supernovae: polarisation signatures from the explosion and companion interaction
in Astronomy & Astrophysics
Pichon C
(2020)
Why do extremely massive disc galaxies exist today?
in Monthly Notices of the Royal Astronomical Society
RamÃrez-Galeano L
(2022)
Why most molecular clouds are gravitationally dominated
in Monthly Notices of the Royal Astronomical Society
Davies C
(2022)
Windows on the hadronic vacuum polarization contribution to the muon anomalous magnetic moment
in Physical Review D
Huško F
(2024)
Winds versus jets: a comparison between black hole feedback modes in simulations of idealized galaxy groups and clusters
in Monthly Notices of the Royal Astronomical Society
Robson D
(2020)
X-ray emission from hot gas in galaxy groups and clusters in simba
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/7057645 |
| 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 |
