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
Woss A
(2021)
Decays of an exotic 1 - + hybrid meson resonance in QCD
in Physical Review D
Woss A
(2020)
Efficient solution of the multichannel Lüscher determinant condition through eigenvalue decomposition
in Physical Review D
Wright S
(2022)
Non-local thermal equilibrium spectra of atmospheric molecules for exoplanets
in Monthly Notices of the Royal Astronomical Society
Wu X
(2020)
Photometric properties of reionization-epoch galaxies in the simba simulations
in Monthly Notices of the Royal Astronomical Society
Wu Y
(2023)
Using planet migration and dust drift to weigh protoplanetary discs
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2020)
Non-ideal magnetohydrodynamics versus turbulence II: Which is the dominant process in stellar core formation?
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
Wurster J
(2022)
On the origin of magnetic fields in stars - II. The effect of numerical resolution
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2020)
Non-ideal magnetohydrodynamics versus turbulence - I. Which is the dominant process in protostellar disc formation?
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2021)
Do we need non-ideal magnetohydrodynamic to model protostellar discs?
in Monthly Notices of the Royal Astronomical Society
Wyper P
(2024)
A Model for Flux Rope Formation and Disconnection in Pseudostreamer Coronal Mass Ejections
in The Astrophysical Journal
Wyper P
(2022)
The Imprint of Intermittent Interchange Reconnection on the Solar Wind
in The Astrophysical Journal Letters
Xiao M
(2024)
Accelerated formation of ultra-massive galaxies in the first billion years
in Nature
Xu W
(2020)
Galaxy properties in the cosmic web of EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Yachmenev A
(2022)
The nuclear-spin-forbidden rovibrational transitions of water from first principles.
in The Journal of chemical physics
Yachmenev A
(2021)
Electric quadrupole transitions in carbon dioxide.
in The Journal of chemical physics
Yang H
(2024)
apostle-auriga : effects of stellar feedback subgrid models on the evolution of angular momentum in disc galaxies
in Monthly Notices of the Royal Astronomical Society
Yang T
(2024)
Feedback-driven anisotropy in the circumgalactic medium for quenching galaxies in the simba simulations
in Monthly Notices of the Royal Astronomical Society
Yang T
(2022)
Understanding the relation between thermal Sunyaev-Zeldovich decrement and halo mass using the simba and TNG simulations
in Monthly Notices of the Royal Astronomical Society
Yankelevich V
(2023)
The halo bispectrum as a sensitive probe of massive neutrinos and baryon physics
in Monthly Notices of the Royal Astronomical Society
Yardley S
(2021)
Simulating the Coronal Evolution of Bipolar Active Regions to Investigate the Formation of Flux Ropes
in Solar Physics
Yeo J
(2024)
DK/Dp scattering and an exotic virtual bound state at the SU(3) flavour symmetric point from lattice QCD
in Journal of High Energy Physics
Yip K
(2021)
Peeking inside the Black Box: Interpreting Deep-learning Models for Exoplanet Atmospheric Retrievals
in The Astronomical Journal
Yip K
(2024)
To Sample or Not to Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalizing Flows
in The Astrophysical Journal
Yip K
(2020)
On the Compatibility of Ground-based and Space-based Data: WASP-96 b, an Example*
in The Astronomical Journal
| 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 |
