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
Threlfall J
(2021)
Can Multi-threaded Flux Tubes in Coronal Arcades Support a Magnetohydrodynamic Avalanche?
in Solar physics
Tillman M
(2023)
Efficient Long-range Active Galactic Nuclei (AGNs) Feedback Affects the Low-redshift Lya Forest
in The Astrophysical Journal Letters
Tinoco-Arenas A
(2022)
Parametric Study of Magnetosheath Jets in 2D Local Hybrid Simulations
in Frontiers in Astronomy and Space Sciences
Tissera P
(2022)
The evolution of the oxygen abundance gradients in star-forming galaxies in the eagle simulations
in Monthly Notices of the Royal Astronomical Society
Tobias S
(2020)
Angular momentum transport, layering, and zonal jet formation by the GSF instability: non-linear simulations at a general latitude
in Monthly Notices of the Royal Astronomical Society
Towler I
(2024)
Inferring the dark matter splashback radius from cluster gas and observable profiles in the FLAMINGO simulations
in Monthly Notices of the Royal Astronomical Society
Towler I
(2023)
Gas clumping and its effect on hydrostatic bias in the MACSIS simulations
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
Trayford J
(2020)
Massive low-surface-brightness galaxies in the eagle simulation
in Monthly Notices of the Royal Astronomical Society
Traykova D
(2021)
Dynamical friction from scalar dark matter in the relativistic regime
in Physical Review D
Tress R
(2020)
Simulations of the Milky Way's central molecular zone - I. Gas dynamics
in Monthly Notices of the Royal Astronomical Society
Tress R
(2020)
Simulations of the star-forming molecular gas in an interacting M51-like galaxy
in Monthly Notices of the Royal Astronomical Society
Tripathi B
(2024)
Predicting the Slowing of Stellar Differential Rotation by Instability-driven Turbulence
in The Astrophysical Journal
Trotta D
(2023)
Three-dimensional modelling of the shock-turbulence interaction
in Monthly Notices of the Royal Astronomical Society
Trotta D
(2022)
On the Transmission of Turbulent Structures across the Earth's Bow Shock
in The Astrophysical Journal
Trotta D
(2020)
Fast Acceleration of Transrelativistic Electrons in Astrophysical Turbulence
in The Astrophysical Journal
Trotta D
(2022)
Single-spacecraft techniques for shock parameters estimation: A systematic approach
in Frontiers in Astronomy and Space Sciences
Trotta D
(2023)
Irregular Proton Injection to High Energies at Interplanetary Shocks
in The Astrophysical Journal Letters
Trujillo-Gomez S
(2023)
In situ or accreted? Using deep learning to infer the origin of extragalactic globular clusters from observables
in Monthly Notices of the Royal Astronomical Society
Trujillo-Gomez S
(2021)
The kinematics of globular cluster populations in the E-MOSAICS simulations and their implications for the assembly history of the Milky Way
in Monthly Notices of the Royal Astronomical Society
Trusov S
(2024)
The two-point correlation function covariance with fewer mocks
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
Tsang Y
(2024)
Scaling of the geomagnetic secular variation timescale
in Geophysical Journal International
Turpin G
(2024)
Orbital evolution of close binary systems: comparing viscous and wind-driven circumbinary disc models
in Monthly Notices of the Royal Astronomical Society
Upadhyay A
(2021)
Star formation histories of Coma cluster galaxies matched to simulated orbits hint at quenching around first pericenter
in Astronomy & Astrophysics
| 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 |
