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
Prole L
(2024)
Heavy black hole seed formation in high- z atomic cooling halos
in Astronomy & Astrophysics
Andrassy R
(2022)
Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes
in Astronomy & Astrophysics
Hildebrandt H
(2020)
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data
in Astronomy & Astrophysics
Lega E
(2021)
Migration of Jupiter-mass planets in low-viscosity discs
in Astronomy & Astrophysics
Welsh L
(2024)
A survey of extremely metal-poor gas at cosmic noon Evidence of elevated [O/Fe]
in Astronomy & Astrophysics
Blondin S
(2022)
StaNdaRT: a repository of standardised test models and outputs for supernova radiative transfer
in Astronomy & Astrophysics
Donevski D
(2020)
In pursuit of giants I. The evolution of the dust-to-stellar mass ratio in distant dusty galaxies
in Astronomy & Astrophysics
Reid J
(2020)
Coronal energy release by MHD avalanches: Heating mechanisms
in Astronomy & Astrophysics
Reissl S
(2020)
Synthetic observations of spiral arm tracers of a simulated Milky Way analog
in Astronomy & Astrophysics
Contreras S
(2024)
Validating the clustering predictions of empirical models with the FLAMINGO simulations
in Astronomy & Astrophysics
Fyfe L
(2021)
Forward modelling of heating within a coronal arcade
in Astronomy & Astrophysics
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
Lach F
(2022)
Models of pulsationally assisted gravitationally confined detonations with different ignition conditions
in Astronomy & Astrophysics
Hutchinson A
(2023)
Modelling shock-like injections of solar energetic particles with 3D test particle simulations
in Astronomy & Astrophysics
Vandenbroucke B
(2020)
CMACIONIZE 2.0: a novel task-based approach to Monte Carlo radiation transfer
in Astronomy & Astrophysics
Montargès M
(2023)
The VLT/SPHERE view of the ATOMIUM cool evolved star sample I. Overview: Sample characterization through polarization analysis
in Astronomy & Astrophysics
Horst L
(2021)
Multidimensional low-Mach number time-implicit hydrodynamic simulations of convective helium shell burning in a massive star
in Astronomy & Astrophysics
Pagano P
(2020)
Hydrogen non-equilibrium ionisation effects in coronal mass ejections
in Astronomy & Astrophysics
Pagano P
(2020)
Effect of coronal loop structure on wave heating through phase mixing
in Astronomy & Astrophysics
Clough K
(2021)
Continuity equations for general matter: applications in numerical relativity
in Classical and Quantum Gravity
Cardoso V
(2023)
Curvature and dynamical spacetimes: can we peer into the quantum regime?
in Classical and Quantum Gravity
Gerosa D
(2022)
The irreducible mass and the horizon area of LIGO's black holes
in Classical and Quantum Gravity
Radia M
(2022)
Lessons for adaptive mesh refinement in numerical relativity
in Classical and Quantum Gravity
Aurrekoetxea J
(2020)
Coherent gravitational waveforms and memory from cosmic string loops
in Classical and Quantum Gravity
Adamek J
(2020)
Numerical solutions to Einstein's equations in a shearing-dust universe: a code comparison
in Classical and Quantum Gravity
| 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 |
