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
Fu B
(2024)
Testing realistic SO(10) SUSY GUTs with proton decay and gravitational waves
in Physical Review D
He Q
(2023)
Testing strong lensing subhalo detection with a cosmological simulation
in Monthly Notices of the Royal Astronomical Society
Doneva D
(2023)
Testing the limits of scalar-Gauss-Bonnet gravity through nonlinear evolutions of spin-induced scalarization
in Physical Review D
Nobels F
(2024)
Tests of subgrid models for star formation using simulations of isolated disc galaxies
in Monthly Notices of the Royal Astronomical Society
Raste J
(2024)
The 21-cm bispectrum from neutral hydrogen islands at z < 6
in Monthly Notices of the Royal Astronomical Society
Fenton A
(2024)
The 3D structure of disc-instability protoplanets
in Astronomy & Astrophysics
Hughes M
(2020)
The [a/Fe]-[Fe/H] relation in the E-MOSAICS simulations: its connection to the birth place of globular clusters and the fraction of globular cluster field stars in the bulge
in Monthly Notices of the Royal Astronomical Society
Zheng H
(2024)
The abundance of dark matter haloes down to Earth mass
in Monthly Notices of the Royal Astronomical Society
Cooke R
(2020)
The ACCELERATION programme: I. Cosmology with the redshift drift
in Monthly Notices of the Royal Astronomical Society
Monaco P
(2020)
The accuracy of weak lensing simulations
in Monthly Notices of the Royal Astronomical Society
Aoyama T
(2020)
The anomalous magnetic moment of the muon in the Standard Model
in Physics Reports
Font A
(2020)
The artemis simulations: stellar haloes of Milky Way-mass galaxies
in Monthly Notices of the Royal Astronomical Society
Errani R
(2021)
The asymptotic tidal remnants of cold dark matter subhaloes
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
Farren G
(2024)
The Atacama Cosmology Telescope: Cosmology from Cross-correlations of unWISE Galaxies and ACT DR6 CMB Lensing
in The Astrophysical Journal
Stafford S
(2020)
The bahamas project: effects of a running scalar spectral index on large-scale structure
in Monthly Notices of the Royal Astronomical Society
Pfeifer S
(2020)
The BAHAMAS project: effects of dynamical dark energy on large-scale structure
in Monthly Notices of the Royal Astronomical Society
Acuto A
(2021)
The BAHAMAS project: evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum
in Monthly Notices of the Royal Astronomical Society
Henden N
(2020)
The baryon content of groups and clusters of galaxies in the FABLE simulations
in Monthly Notices of the Royal Astronomical Society
Glowacki M
(2020)
The baryonic Tully-Fisher relation in the simba simulation
in Monthly Notices of the Royal Astronomical Society
Grand R
(2020)
The biggest splash
in Monthly Notices of the Royal Astronomical Society
Haidar H
(2022)
The black hole population in low-mass galaxies in large-scale cosmological simulations
in Monthly Notices of the Royal Astronomical Society
Huško F
(2023)
The buildup of galaxies and their spheroids: The contributions of mergers, disc instabilities, and star formation
in Monthly Notices of the Royal Astronomical Society
Katz H
(2023)
The challenges of identifying Population III stars in the early Universe
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
| 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 |
