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
Can K
(2020)
Lattice QCD evaluation of the Compton amplitude employing the Feynman-Hellmann theorem
in Physical Review D
Kobayashi C
(2020)
The Origin of Elements from Carbon to Uranium
in The Astrophysical Journal
Grand R
(2020)
The biggest splash
in Monthly Notices of the Royal Astronomical Society
Leo M
(2020)
Constraining structure formation using EDGES
in Journal of Cosmology and Astroparticle Physics
Hassan S
(2020)
Testing galaxy formation simulations with damped Lyman-a abundance and metallicity evolution
in Monthly Notices of the Royal Astronomical Society
Yurchenko SN
(2020)
Treating linear molecules in calculations of rotation-vibration spectra.
in The Journal of chemical physics
Coulton W
(2020)
Weak lensing minima and peaks: Cosmological constraints and the impact of baryons
in Monthly Notices of the Royal Astronomical Society
Clark V
(2020)
The high-temperature rotation-vibration spectrum and rotational clustering of silylene (SiH2)
in Journal of Quantitative Spectroscopy and Radiative Transfer
Goyal J
(2020)
A library of self-consistent simulated exoplanet atmospheres
in Monthly Notices of the Royal Astronomical Society
Pichon C
(2020)
And yet it flips: connecting galactic spin and the cosmic web
in Monthly Notices of the Royal Astronomical Society
Kay S
(2020)
The intracluster light as a tracer of the total matter density distribution: a view from simulations
in Monthly Notices of the Royal Astronomical Society
Cooper L
(2020)
B c ? B s ( d ) form factors from lattice QCD
in Physical Review D
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
Adamek J
(2020)
Numerical solutions to Einstein's equations in a shearing-dust universe: a code comparison
in Classical and Quantum Gravity
Almaraz E
(2020)
Nonlinear structure formation in Bound Dark Energy
in Journal of Cosmology and Astroparticle Physics
Cuesta-Lazaro C
(2020)
Towards a non-Gaussian model of redshift space distortions
in Monthly Notices of the Royal Astronomical Society
Franci L
(2020)
Modeling MMS Observations at the Earth's Magnetopause with Hybrid Simulations of Alfvénic Turbulence
in The Astrophysical Journal
Icaza-Lizaola M
(2020)
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 LRG sample: structure growth rate measurement from the anisotropic LRG correlation function in the redshift range 0.6 < z < 1.0
in Monthly Notices of the Royal Astronomical Society
Reid J
(2020)
Determining whether the squashing factor, Q , would be a good indicator of reconnection in a resistive MHD experiment devoid of null points
in Astronomy & Astrophysics
Vidal J
(2020)
Efficiency of tidal dissipation in slowly rotating fully convective stars or planets
in Monthly Notices of the Royal Astronomical Society
Kraljic K
(2020)
The impact of the connectivity of the cosmic web on the physical properties of galaxies at its nodes
in Monthly Notices of the Royal Astronomical Society
Chubb K
(2020)
ExoMol molecular line lists - XXXVII. Spectra of acetylene
in Monthly Notices of the Royal Astronomical Society
Stevenson P
(2020)
A time-dependent Hartree-Fock study of triple-alpha dynamics
in SciPost Physics Proceedings
Liow K
(2020)
The role of collision speed, cloud density, and turbulence in the formation of young massive clusters via cloud-cloud collisions
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 |
