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
Pluriel W
(2020)
ARES. III. Unveiling the Two Faces of KELT-7 b with HST WFC3*
in The Astronomical Journal
Pollin J
(2024)
On the fate of the secondary white dwarf in double-degenerate double-detonation Type Ia supernovae - II. 3D synthetic observables
in Monthly Notices of the Royal Astronomical Society
Poncelet R
(2021)
NNLO QCD study of polarised W+W- production at the LHC
in Journal of High Energy Physics
Pontzen A
(2021)
EDGE: a new approach to suppressing numerical diffusion in adaptive mesh simulations of galaxy formation
in Monthly Notices of the Royal Astronomical Society
Poole-McKenzie R
(2020)
Informing dark matter direct detection limits with the ARTEMIS simulations
in Journal of Cosmology and Astroparticle Physics
Popescu A
(2021)
NNLO QCD study of polarised $W^+W^-$ production at the LHC
Portelli A
(2022)
Optimisation of lattice simulations energy efficiency
Portelli A
(2022)
Optimisation of lattice simulations energy efficiency
Porth L
(2021)
Fast estimation of aperture-mass statistics - II. Detectability of higher order statistics in current and future surveys
in Monthly Notices of the Royal Astronomical Society
Porth L
(2020)
Fast estimation of aperture mass statistics - I. Aperture mass variance and an application to the CFHTLenS data
in Monthly Notices of the Royal Astronomical Society
Prathaban M
(2024)
Costless correction of chain based nested sampling parameter estimation in gravitational wave data and beyond
in Monthly Notices of the Royal Astronomical Society
Pratt J
(2020)
Comparison of 2D and 3D compressible convection in a pre-main sequence star
in Astronomy & Astrophysics
Prgomet M
(2022)
EDGE: The sensitivity of ultra-faint dwarfs to a metallicity-dependent initial mass function
in Monthly Notices of the Royal Astronomical Society
Prole L
(2022)
Fragmentation-induced starvation in Population III star formation: a resolution study
in Monthly Notices of the Royal Astronomical Society
Prole L
(2022)
Primordial magnetic fields in Population III star formation: a magnetized resolution study
in Monthly Notices of the Royal Astronomical Society
Prole L
(2024)
Heavy black hole seed formation in high- z atomic cooling halos
in Astronomy & Astrophysics
Prole L
(2023)
From dark matter halos to pre-stellar cores: high resolution follow-up of cosmological Lyman-Werner simulations
in Monthly Notices of the Royal Astronomical Society
Prole L
(2024)
Population III star formation: multiple gas phases prevent the use of an equation of state at high densities
in The Open Journal of Astrophysics
Puchwein E
(2023)
The Sherwood-Relics simulations: overview and impact of patchy reionization and pressure smoothing on the intergalactic medium
in Monthly Notices of the Royal Astronomical Society
Qiao L
(2022)
The evolution of protoplanetary discs in star formation and feedback simulations
in Monthly Notices of the Royal Astronomical Society
Qu F
(2024)
The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and Its Implications for Structure Growth
in The Astrophysical Journal
Radia M
(2021)
Anomalies in the gravitational recoil of eccentric black-hole mergers with unequal mass ratios
in Physical Review D
Radia M
(2022)
Lessons for adaptive mesh refinement in numerical relativity
in Classical and Quantum Gravity
Raducan S
(2022)
Ejecta distribution and momentum transfer from oblique impacts on asteroid surfaces
in Icarus
Ragusa E
(2020)
The evolution of large cavities and disc eccentricity in circumbinary discs
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/7057645 |
| 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 |
