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
Upadhye A
(2024)
Non-linear CMB lensing with neutrinos and baryons: FLAMINGO simulations versus fast approximations
in Monthly Notices of the Royal Astronomical Society
Vandenbroucke B
(2020)
CMACIONIZE 2.0: a novel task-based approach to Monte Carlo radiation transfer
in Astronomy & Astrophysics
Vandenbroucke B
(2020)
Infrared luminosity functions and dust mass functions in the EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Vandenbroucke B
(2021)
Polarised emission from aligned dust grains in nearby galaxies: Predictions from the Auriga simulations
in Astronomy & Astrophysics
Vanon R
(2023)
Three-dimensional Simulations of Massive Stars. II. Age Dependence
in The Astrophysical Journal
Van Daalen M
(2020)
Exploring the effects of galaxy formation on matter clustering through a library of simulation power spectra
in Monthly Notices of the Royal Astronomical Society
Van der Werf P
(2020)
An ALMA survey of the SCUBA-2 CLS UDS field: physical properties of 707 sub-millimetre galaxies
in Monthly Notices of the Royal Astronomical Society
Van Loon M
(2021)
Explaining the scatter in the galaxy mass-metallicity relation with gas flows
in Monthly Notices of the Royal Astronomical Society
Varghese A
(2023)
Chemical Mixing Induced by Internal Gravity Waves in Intermediate-mass Stars
in The Astrophysical Journal
Varghese A
(2024)
Effect of Rotation on Wave Mixing in Intermediate-mass Stars
in The Astrophysical Journal
Vera-Casanova A
(2022)
Linking the brightest stellar streams with the accretion history of Milky Way like galaxies
in Monthly Notices of the Royal Astronomical Society
Vidal J
(2020)
Turbulent Viscosity Acting on the Equilibrium Tidal Flow in Convective Stars
in The Astrophysical Journal Letters
Vidal J
(2020)
Efficiency of tidal dissipation in slowly rotating fully convective stars or planets
in Monthly Notices of the Royal Astronomical Society
Vijayan A
(2024)
First Light And Reionisation Epoch Simulations (FLARES) - XII: The consequences of star-dust geometry on galaxies in the EoR
in Monthly Notices of the Royal Astronomical Society
Vijayan A
(2022)
First Light And Reionisation Epoch Simulations (FLARES) - III. The properties of massive dusty galaxies at cosmic dawn
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
Vizgan D
(2022)
Investigating the [C ii]-to-H i Conversion Factor and the H i Gas Budget of Galaxies at z Ë 6 with Hydrodynamic Simulations
in The Astrophysical Journal Letters
Vlaykov D
(2022)
Impact of radial truncation on global 2D hydrodynamic simulations for a Sun-like model
in Monthly Notices of the Royal Astronomical Society
Vorabbi M
(2024)
Microscopic optical potentials for medium-mass isotopes derived at the first order of Watson multiple-scattering theory
in Physical Review C
Wakita S
(2022)
Effect of Impact Velocity and Angle on Deformational Heating and Postimpact Temperature
in Journal of Geophysical Research: Planets
Wang C
(2023)
Ghostly Galaxies: Accretion-dominated Stellar Systems in Low-mass Dark Matter Halos
in The Astrophysical Journal
Wang J
(2020)
Universal structure of dark matter haloes over a mass range of 20 orders of magnitude.
in Nature
Wang Y
(2020)
Iterative removal of redshift-space distortions from galaxy clustering
in Monthly Notices of the Royal Astronomical Society
Wang Z
(2022)
Superradiance in massive vector fields with spatially varying mass
in Physical Review D
Wareing C
(2021)
Striations, integrals, hourglasses, and collapse - thermal instability driven magnetic simulations of molecular clouds
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 |
