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
Katsianis A
(2020)
The high-redshift SFR-M* relation is sensitive to the employed star formation rate and stellar mass indicators: towards addressing the tension between observations and simulations
in Monthly Notices of the Royal Astronomical Society
Baraffe I
(2023)
A study of convective core overshooting as a function of stellar mass based on two-dimensional hydrodynamical simulations
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2021)
The impact of non-ideal magnetohydrodynamic processes on discs, outflows, counter-rotation, and magnetic walls during the early stages of star formation
in Monthly Notices of the Royal Astronomical Society
Georgy C
(2024)
3D simulations of a neon burning convective shell in a massive star
in Monthly Notices of the Royal Astronomical Society
Elsender D
(2021)
The statistical properties of protostellar discs and their dependence on metallicity
in Monthly Notices of the Royal Astronomical Society
Jahns-Schindler J
(2023)
How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys
in Monthly Notices of the Royal Astronomical Society
Campos Estrada B
(2024)
On the likely magnesium-iron silicate dusty tails of catastrophically evaporating rocky planets
in Monthly Notices of the Royal Astronomical Society
Huško F
(2022)
Statistics of galaxy mergers: bridging the gap between theory and observation
in Monthly Notices of the Royal Astronomical Society
Bosman S
(2022)
Hydrogen reionization ends by z = 5.3: Lyman-a optical depth measured by the XQR-30 sample
in Monthly Notices of the Royal Astronomical Society
Daley-Yates S
(2024)
Simulating stellar coronal rain and slingshot prominences
in Monthly Notices of the Royal Astronomical Society
Katz H
(2020)
New methods for identifying Lyman continuum leakers and reionization-epoch analogues
in Monthly Notices of the Royal Astronomical Society
Trayford J
(2020)
Fade to grey: systematic variation of galaxy attenuation curves with galaxy properties in the eagle simulations
in Monthly Notices of the Royal Astronomical Society
Evans T
(2022)
Observing EAGLE galaxies with JWST : predictions for Milky Way progenitors and their building blocks
in Monthly Notices of the Royal Astronomical Society
Hoy C
(2024)
bilby in space: Bayesian inference for transient gravitational-wave signals observed with LISA
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
Coleman G
(2024)
Constraining the formation history of the TOI-1338/BEBOP-1 circumbinary planetary system
in Monthly Notices of the Royal Astronomical Society
Salcido J
(2020)
How feedback shapes galaxies: an analytic model
in Monthly Notices of the Royal Astronomical Society
Camps P
(2022)
High-resolution synthetic UV-submm images for Milky Way-mass simulated galaxies from the ARTEMIS project
in Monthly Notices of the Royal Astronomical Society
Srisawat C
(2020)
MEGA: Merger graphs of structure formation
in Monthly Notices of the Royal Astronomical Society
Richings A
(2022)
The effects of local stellar radiation and dust depletion on non-equilibrium interstellar chemistry
in Monthly Notices of the Royal Astronomical Society
Santos-Santos I
(2021)
Magellanic satellites in ?CDM cosmological hydrodynamical simulations of the Local Group
in Monthly Notices of the Royal Astronomical Society
Schaller M
(2024)
Swift : a modern highly parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications
in Monthly Notices of the Royal Astronomical Society
Huscher E
(2021)
The changing circumgalactic medium over the last 10 Gyr - I. Physical and dynamical properties
in Monthly Notices of the Royal Astronomical Society
Armijo J
(2024)
A new test of gravity - II. Application of marked correlation functions to luminous red galaxy samples
in Monthly Notices of the Royal Astronomical Society
Zheng Y
(2022)
Rapidly quenched galaxies in the Simba cosmological simulation and observations
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 |
