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
Sharma M
(2019)
The I?ea model of feedback-regulated galaxy formation
in Monthly Notices of the Royal Astronomical Society
Kugel R
(2024)
The FLAMINGO project: a comparison of galaxy cluster samples selected on mass, X-ray luminosity, Compton-Y parameter, or galaxy richness
in Monthly Notices of the Royal Astronomical Society
Jackson R
(2021)
Dark matter-deficient dwarf galaxies form via tidal stripping of dark matter in interactions with massive companions
in Monthly Notices of the Royal Astronomical Society
McCarthy I
(2023)
The FLAMINGO project: revisiting the S 8 tension and the role of baryonic physics
in Monthly Notices of the Royal Astronomical Society
Rosotti G
(2020)
Spiral arms in the protoplanetary disc HD100453 detected with ALMA: evidence for binary-disc interaction and a vertical temperature gradient
in Monthly Notices of the Royal Astronomical Society
Li Y
(2022)
Non-linear reconstruction of features in the primordial power spectrum from large-scale structure
in Monthly Notices of the Royal Astronomical Society
Theuns T
(2021)
Connecting cosmological accretion to strong Ly a absorbers
in Monthly Notices of the Royal Astronomical Society
Yurchenko S
(2020)
ExoMol line lists - XXXVIII. High-temperature molecular line list of silicon dioxide (SiO2)
in Monthly Notices of the Royal Astronomical Society
Orkney M
(2021)
EDGE: two routes to dark matter core formation in ultra-faint dwarfs
in Monthly Notices of the Royal Astronomical Society
Rizzuti F
(2022)
Realistic 3D hydrodynamics simulations find significant turbulent entrainment in massive stars
in Monthly Notices of the Royal Astronomical Society
Igoshev A
(2023)
Three-dimensional magnetothermal evolution of off-centred dipole magnetic field configurations in neutron stars
in Monthly Notices of the Royal Astronomical Society
Mukherjee S
(2021)
SEAGLE - II. Constraints on feedback models in galaxy formation from massive early-type strong-lens galaxies
in Monthly Notices of the Royal Astronomical Society
Katsianis A
(2021)
The specific star formation rate function at different mass scales and quenching: a comparison between cosmological models and SDSS
in Monthly Notices of the Royal Astronomical Society
Ziampras A
(2025)
Dusty substructures induced by planets in ALMA discs: how dust growth and dynamics changes the picture
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
Robertson A
(2021)
The surprising accuracy of isothermal Jeans modelling of self-interacting dark matter density profiles
in Monthly Notices of the Royal Astronomical Society
Bartlett D
(2021)
Spatially offset black holes in the Horizon-AGN simulation and comparison to observations
in Monthly Notices of the Royal Astronomical Society
Davies C
(2021)
Constraining cosmology with weak lensing voids
in Monthly Notices of the Royal Astronomical Society
Vijayan A
(2020)
First Light And Reionisation Epoch Simulations (FLARES) II: The Photometric Properties of High-Redshift Galaxies
in Monthly Notices of the Royal Astronomical Society
Fossati M
(2021)
MUSE analysis of gas around galaxies (MAGG) - III. The gas and galaxy environment of z = 3-4.5 quasars
in Monthly Notices of the Royal Astronomical Society
Fumagalli M
(2020)
Detecting neutral hydrogen at z ? 3 in large spectroscopic surveys of quasars
in Monthly Notices of the Royal Astronomical Society
Rogers J
(2021)
Photoevaporation versus core-powered mass-loss: model comparison with the 3D radius gap
in Monthly Notices of the Royal Astronomical Society
Dhandha J
(2024)
Decaying turbulence in molecular clouds: how does it affect filament networks and star formation?
in Monthly Notices of the Royal Astronomical Society
Elbers W
(2022)
Higher order initial conditions with massive neutrinos
in Monthly Notices of the Royal Astronomical Society
Grand R
(2021)
Determining the full satellite population of a Milky Way-mass halo in a highly resolved cosmological hydrodynamic simulation
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 |
