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
Hughes D
(2021)
Double-diffusive Magnetic Layering
in The Astrophysical Journal
Williams C
(2021)
ALMA Measures Rapidly Depleted Molecular Gas Reservoirs in Massive Quiescent Galaxies at z ~ 1.5
in The Astrophysical Journal
Laitinen T
(2023)
An Analytical Model of Turbulence in Parker Spiral Geometry and Associated Magnetic Field Line Lengths
in The Astrophysical Journal
Martin-Alvarez S
(2024)
Extragalactic Magnetism with SOFIA (SALSA Legacy Program). VII. A Tomographic View of Far-infrared and Radio Polarimetric Observations through MHD Simulations of Galaxies
in The Astrophysical Journal
Nixon C
(2021)
Partial, Zombie, and Full Tidal Disruption of Stars by Supermassive Black Holes
in The Astrophysical Journal
Garver B
(2023)
Exploring the Evolution of Massive Clumps in Simulations That Reproduce the Observed Milky Way a-element Abundance Bimodality
in The Astrophysical Journal
Olsen K
(2021)
sígame v3: Gas Fragmentation in Postprocessing of Cosmological Simulations for More Accurate Infrared Line Emission Modeling
in The Astrophysical Journal
Carlberg R
(2024)
Star Stream Velocity Distributions in Cold Dark Matter and Warm Dark Matter Galactic Halos
in The Astrophysical Journal
Macpherson H
(2024)
The Impact of Anisotropic Sky Sampling on the Hubble Constant in Numerical Relativity
in The Astrophysical Journal
Hall C
(2020)
Predicting the Kinematic Evidence of Gravitational Instability
in The Astrophysical Journal
Kobayashi C
(2020)
New Type Ia Supernova Yields and the Manganese and Nickel Problems in the Milky Way and Dwarf Spheroidal Galaxies
in The Astrophysical Journal
Vanon R
(2023)
Three-dimensional Simulations of Massive Stars. II. Age Dependence
in The Astrophysical Journal
Teodoro L
(2023)
A Recent Impact Origin of Saturn's Rings and Mid-sized Moons
in The Astrophysical Journal
Varghese A
(2024)
Effect of Rotation on Wave Mixing in Intermediate-mass Stars
in The Astrophysical Journal
Trotta D
(2020)
Fast Acceleration of Transrelativistic Electrons in Astrophysical Turbulence
in The Astrophysical Journal
Regos E
(2024)
Percolation Statistics in the MillenniumTNG Simulations
in The Astrophysical Journal
Wang C
(2023)
Ghostly Galaxies: Accretion-dominated Stellar Systems in Low-mass Dark Matter Halos
in The Astrophysical Journal
Zhu Y
(2022)
Long Dark Gaps in the Ly ß Forest at z < 6: Evidence of Ultra-late Reionization from XQR-30 Spectra
in The Astrophysical Journal
Guo Y
(2020)
Metal Enrichment in the Circumgalactic Medium and Lya Halos around Quasars at z ~ 3
in The Astrophysical Journal
Kong (??) S
(2024)
Filamentary Molecular Cloud Formation via Collision-induced Magnetic Reconnection in a Cold Neutral Medium
in The Astrophysical Journal
Hassan S
(2022)
Reionization with Simba: How Much Does Astrophysics Matter in Modeling Cosmic Reionization?
in The Astrophysical Journal
Welsh L
(2022)
Oxygen-enhanced Extremely Metal-poor Damped Lya Systems: A Signpost of the First Stars?
in The Astrophysical Journal
Trotta D
(2022)
On the Transmission of Turbulent Structures across the Earth's Bow Shock
in The Astrophysical Journal
Agudelo Rueda J
(2022)
Energy Transport during 3D Small-scale Reconnection Driven by Anisotropic Plasma Turbulence
in The Astrophysical Journal
Beg R
(2022)
Evolution, Structure, and Topology of Self-generated Turbulent Reconnection Layers
in The Astrophysical Journal
| 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 |
