Dirac 2.5 Operations
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Physics and Astronomy
Abstract
Physicists across the astronomy, nuclear and particle physics communities are focussed
on understanding how the Universe works at a very fundamental level. The distance scales
with which they work vary by 50 orders of magnitude from the smallest distances probed
by experiments at the Large Hadron Collider, deep within the atomic
nucleus, to the largest scale galaxy clusters discovered out in space. The Science challenges,
however, are linked through questions such as: How did the Universe begin and how is it evolving?
and What are the fundamental constituents and fabric of the Universe and how do they interact?
Progress requires new astronomical observations and experimental data but also
new theoretical insights. Theoretical understanding comes increasingly from large-scale
computations that allow us to confront the consequences of our theories very accurately
with the data or allow us to interrogate the data in detail to extract information that has
impact on our theories. These computations test the fastest computers that we have and
push the boundaries of technology in this sector. They also provide an excellent
environment for training students in state-of-the-art techniques for code optimisation and
data mining and visualisation.
The DiRAC-2.5 project builds on the success of the DiRAC HPC facility and will provide the resources needed
to support cutting edge research during 2017 in all areas of science supported by STFC.
DiRAC-2.5 will provide maintain the existing DiRAC-2 services from April 2017, and also provide and increase in computational
resources at Durham, Cambridge and Leicester.
This grant will support the operation of the Edinburgh DiRAC services, which presently comprise
98384 operational computing cores serving around 80% of DiRAC computing cycles. The system is made up
from both the original 1.26PFlop/s DiRAC BlueGene/Q system and, following a recent transfer
to Edinburgh by STFC, six racks of the Hartree BlueJoule supercomputer.
The DiRAC project also will offer a team of three research software engineers who will help DiRAC researchers to ensure their scientific codes to extract
the best possible performance from the hardware components of the DiRAC clusters. These highly skilled programmers will
increase the effective computational power of the DiRAC facility during 2017.
on understanding how the Universe works at a very fundamental level. The distance scales
with which they work vary by 50 orders of magnitude from the smallest distances probed
by experiments at the Large Hadron Collider, deep within the atomic
nucleus, to the largest scale galaxy clusters discovered out in space. The Science challenges,
however, are linked through questions such as: How did the Universe begin and how is it evolving?
and What are the fundamental constituents and fabric of the Universe and how do they interact?
Progress requires new astronomical observations and experimental data but also
new theoretical insights. Theoretical understanding comes increasingly from large-scale
computations that allow us to confront the consequences of our theories very accurately
with the data or allow us to interrogate the data in detail to extract information that has
impact on our theories. These computations test the fastest computers that we have and
push the boundaries of technology in this sector. They also provide an excellent
environment for training students in state-of-the-art techniques for code optimisation and
data mining and visualisation.
The DiRAC-2.5 project builds on the success of the DiRAC HPC facility and will provide the resources needed
to support cutting edge research during 2017 in all areas of science supported by STFC.
DiRAC-2.5 will provide maintain the existing DiRAC-2 services from April 2017, and also provide and increase in computational
resources at Durham, Cambridge and Leicester.
This grant will support the operation of the Edinburgh DiRAC services, which presently comprise
98384 operational computing cores serving around 80% of DiRAC computing cycles. The system is made up
from both the original 1.26PFlop/s DiRAC BlueGene/Q system and, following a recent transfer
to Edinburgh by STFC, six racks of the Hartree BlueJoule supercomputer.
The DiRAC project also will offer a team of three research software engineers who will help DiRAC researchers to ensure their scientific codes to extract
the best possible performance from the hardware components of the DiRAC clusters. These highly skilled programmers will
increase the effective computational power of the DiRAC facility during 2017.
Planned Impact
The expected impact of the DiRAC 2.5 HPC facility is fully described in the attached pathways to impact document and includes:
1) Disseminating 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.
2) Working on co-design projects with industry partners to improve future generations of hardware and software.
3) 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 this new technology to improve research outcomes in their areas.
4) Share best practice on the design and operation of distributed HPC facilities with UK National e-Infrastructure partners.
5) Training of the next generation of research scientists of physical 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.
6) 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.
1) Disseminating 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.
2) Working on co-design projects with industry partners to improve future generations of hardware and software.
3) 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 this new technology to improve research outcomes in their areas.
4) Share best practice on the design and operation of distributed HPC facilities with UK National e-Infrastructure partners.
5) Training of the next generation of research scientists of physical 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.
6) 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.
Publications
De Belsunce R
(2022)
Testing for spectral index variations in polarized CMB foregrounds
in Monthly Notices of the Royal Astronomical Society
De Belsunce R
(2022)
Testing for spectral index variations in polarized CMB foregrounds
in Monthly Notices of the Royal Astronomical Society
De Ceuster F
(2023)
Radiative transfer as a Bayesian linear regression problem
in Monthly Notices of the Royal Astronomical Society
De Vries N
(2023)
Tidal dissipation due to the elliptical instability and turbulent viscosity in convection zones in rotating giant planets and stars
in Monthly Notices of the Royal Astronomical Society
Di Carlo M
(2022)
Electromagnetic finite-size effects beyond the point-like approximation
in EPJ Web of Conferences
Dickey C
(2021)
IQ Collaboratory. II. The Quiescent Fraction of Isolated, Low-mass Galaxies across Simulations and Observations
in The Astrophysical Journal
Digby R
(2019)
The star formation histories of dwarf galaxies in Local Group cosmological simulations
in Monthly Notices of the Royal Astronomical Society
Dillamore A
(2022)
Merger-induced galaxy transformations in the artemis simulations
in Monthly Notices of the Royal Astronomical Society
Dillamore A
(2022)
Merger-induced galaxy transformations in the artemis simulations
in Monthly Notices of the Royal Astronomical Society
Dimmock A
(2023)
Backstreaming ions at a high Mach number interplanetary shock Solar Orbiter measurements during the nominal mission phase
in Astronomy & Astrophysics
Dobbs C
(2021)
The properties of clusters, and the orientation of magnetic fields relative to filaments, in magnetohydrodynamic simulations of colliding clouds
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2020)
The formation of young massive clusters by colliding flows
in Monthly Notices of the Royal Astronomical Society: Letters
Dobbs C
(2019)
Comparing the properties of GMCs in M33 from simulations and observations
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2022)
The formation of massive stellar clusters in converging galactic flows with photoionization
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2022)
The formation of clusters and OB associations in different density spiral arm environments
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2022)
The formation of clusters and OB associations in different density spiral arm environments
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2022)
The formation of massive stellar clusters in converging galactic flows with photoionization
in Monthly Notices of the Royal Astronomical Society
Dome T
(2023)
On the cosmic web elongation in fuzzy dark matter cosmologies: Effects on density profiles, shapes, and alignments of haloes
in Monthly Notices of the Royal Astronomical Society
Dome T
(2023)
On the cosmic web elongation in fuzzy dark matter cosmologies: Effects on density profiles, shapes, and alignments of haloes
in Monthly Notices of the Royal Astronomical Society
Dome T
(2023)
Cosmic web dissection in fuzzy dark matter cosmologies
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
Donevski D
(2020)
In pursuit of giants I. The evolution of the dust-to-stellar mass ratio in distant dusty galaxies
in Astronomy & Astrophysics
Dong-Páez C
(2024)
The Uchuu-SDSS galaxy light-cones: a clustering, redshift space distortion and baryonic acoustic oscillation study
in Monthly Notices of the Royal Astronomical Society
Dowdall R
(2019)
Neutral B -meson mixing from full lattice QCD at the physical point
in Physical Review D
Downing E
(2023)
The many reasons that the rotation curves of low-mass galaxies can fail as tracers of their matter distributions
in Monthly Notices of the Royal Astronomical Society
Drach V
(2020)
Composite electroweak sectors on the lattice
Drach V
(2022)
Singlet channel scattering in a composite Higgs model on the lattice
in The European Physical Journal C
Drach V
(2021)
Scattering of Goldstone bosons and resonance production in a composite Higgs model on the lattice
in Journal of High Energy Physics
Drach V
(2022)
Singlet channel scattering in a composite Higgs model on the lattice
in The European Physical Journal C
Drew A
(2022)
Radiation from global topological strings using adaptive mesh refinement: Methodology and massless modes
in Physical Review D
Drew A
(2022)
Radiation from global topological strings using adaptive mesh refinement: Methodology and massless modes
in Physical Review D
Drewes N
(2021)
On the Dynamics of Low-viscosity Warped Disks around Black Holes
in The Astrophysical Journal
Drummond B
(2020)
Implications of three-dimensional chemical transport in hot Jupiter atmospheres: Results from a consistently coupled chemistry-radiation-hydrodynamics model
in Astronomy & Astrophysics
Du M
(2019)
The Formation of Compact Elliptical Galaxies in the Vicinity of a Massive Galaxy: The Role of Ram-pressure Confinement
in The Astrophysical Journal
Dudzeviciute U
(2020)
An ALMA survey of the SCUBA-2 CLS UDS field: physical properties of 707 sub-millimetre galaxies
in Monthly Notices of the Royal Astronomical Society
Duguid C
(2020)
Convective turbulent viscosity acting on equilibrium tidal flows: new frequency scaling of the effective viscosity
in Monthly Notices of the Royal Astronomical Society
Duguid C
(2019)
Tidal flows with convection: frequency-dependence of the effective viscosity and evidence for anti-dissipation
in Monthly Notices of the Royal Astronomical Society
Dumitru S
(2019)
Predictions and sensitivity forecasts for reionization-era [C ii ] line intensity mapping
in Monthly Notices of the Royal Astronomical Society
Dutta R
(2020)
MUSE Analysis of Gas around Galaxies (MAGG) - II: metal-enriched halo gas around z ~ 1 galaxies
in Monthly Notices of the Royal Astronomical Society
Dutta R
(2024)
Metal line emission around z < 1 galaxies
in Astronomy & Astrophysics
Dutta R
(2021)
Metal-enriched halo gas across galaxy overdensities over the last 10 billion years
in Monthly Notices of the Royal Astronomical Society
Dymott R
(2023)
Linear and non-linear properties of the Goldreich-Schubert-Fricke instability in stellar interiors with arbitrary local radial and latitudinal differential rotation
in Monthly Notices of the Royal Astronomical Society
Eager-Nash J
(2020)
Implications of different stellar spectra for the climate of tidally locked Earth-like exoplanets
in Astronomy & Astrophysics
Edelmann P
(2019)
Three-dimensional Simulations of Massive Stars. I. Wave Generation and Propagation
in The Astrophysical Journal
Edwards B
(2020)
ARES I: WASP-76 b, A Tale of Two HST Spectra*
in The Astronomical Journal
Edwards B
(2020)
Hubble WFC3 Spectroscopy of the Habitable-zone Super-Earth LHS 1140 b
in The Astronomical Journal
Edwards B
(2023)
Exploring the Ability of Hubble Space Telescope WFC3 G141 to Uncover Trends in Populations of Exoplanet Atmospheres through a Homogeneous Transmission Survey of 70 Gaseous Planets
in The Astrophysical Journal Supplement Series
Edwards B
(2023)
Characterizing a World Within the Hot-Neptune Desert: Transit Observations of LTT 9779 b with the Hubble Space Telescope/WFC3
in The Astronomical Journal
Edwards B
(2024)
Measuring Tracers of Planet Formation in the Atmosphere of WASP-77A b: Substellar O/H and C/H Ratios, with a Stellar C/O Ratio and a Potentially Superstellar Ti/H Ratio
in The Astrophysical Journal Letters
Eilers A
(2019)
Anomaly in the Opacity of the Post-reionization Intergalactic Medium in the Lya and Lyß Forest
in The Astrophysical Journal
| Description | DiRAC 2.5 is a facility to support leading-edge computational astronomy and particle physics in the UK. This has resulted in over 1000 peer-reviewed publications. Many new discoveries about the formation and evolution of galaxies, star formation, planet formation and particle physics theory have been made possible by the award |
| Exploitation Route | Build on the scientific knowledge and computational techniques developed. Many international collaborative projects are supported by the HPC resources provided by DiRAC. |
| Sectors | Aerospace Defence and Marine Creative Economy Digital/Communication/Information Technologies (including Software) Education Healthcare |
| URL | http://www.dirac.ac.uk |
| Description | A close working relationship on co-design of hardware and software. |
| First Year Of Impact | 2015 |
| Sector | Digital/Communication/Information Technologies (including Software),Education |
| Impact Types | Economic |
| Title | Lattice dataset for the paper arXiv:2202.08795 "Simulating rare kaon decays using domain wall lattice QCD with physical light quark masses" |
| Description | Release for https://arxiv.org/abs/2202.08795 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6369178 |
| Title | Symplectic lattice gauge theories on Grid: approaching the conformal window---data release |
| Description | This is the data release relative to the paper "Symplectic lattice gauge theories on Grid: approaching the conformal window" (arXiv:2306.11649). It contains pre-analysed data that can be plotted, and raw data that can be analysed and plotted through the analysis code in doi:10.5281/zenodo.8136514. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/8136451 |
| Title | Symplectic lattice gauge theories on Grid: approaching the conformal window---data release |
| Description | This is the data release relative to the paper "Symplectic lattice gauge theories on Grid: approaching the conformal window" (arXiv:2306.11649). It contains pre-analysed data that can be plotted, and raw data that can be analysed and plotted through the analysis code in doi:10.5281/zenodo.8136514. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/8136452 |
| Description | Intel IPAG QCD codesign project |
| Organisation | Intel Corporation |
| Department | Intel Corporation (Jones Farm) |
| Country | United States |
| Sector | Private |
| PI Contribution | We have collaborated with Intel corporation since 2014 with $720k of total direct funding, starting initially as an Intel parallel computing centre, and expanding to direct close collaboration with Intel Pathfinding and Architecture Group. |
| Collaborator Contribution | We have performed detailed optimisation of QCD codes (Wilson, Domain Wall, Staggered) on Intel many core architectures. We have investigated the memory system and interconnect performance, particularly on Intel's latest interconnect hardware called Omnipath. We found serious performance issues and worked with Intel to plan a solution and this has been verified and is available as beta software. It will reach general availability in the Intel MPI 2019 release, and allow threaded concurrent communications in MPI for the first time. A joint paper on the resolution to this was written with the Intel MPI team, and the application of the same QCD programming techniques to machine learning gradient reduction was applied in the paper to the Baidu Research all reduce library, demonstrating a 10x gain for this critical step in machine learning in clustered environments. We are also working with Intel verifying future architectures that will deliver the exascale performance in 2021. |
| Impact | We have performed detailed optimisation of QCD codes (Wilson, Domain Wall, Staggered) on Intel many core architectures. We have investigated the memory system and interconnect performance, particularly on Intel's latest interconnect hardware called Omnipath. We found serious performance issues and worked with Intel to plan a solution and this has been verified and is available as beta software. It will reach general availability in the Intel MPI 2019 release, and allow threaded concurrent communications in MPI for the first time. A joint paper on the resolution to this was written with the Intel MPI team, and the application of the same QCD programming techniques to machine learning gradient reduction was applied in the paper to the Baidu Research all reduce library, demonstrating a 10x gain for this critical step in machine learning in clustered environments. This collaboration has been renewed annually in 2018, 2019, 2020. Two DiRAC RSE's were hired by Intel to work on the Turing collaboration. |
| Start Year | 2016 |
| Title | FP16-S7E8 MIXED PRECISION FOR DEEP LEARNING AND OTHER ALGORITHMS |
| Description | We demonstrated that a new non-IEEE 16 bit floating point format is the optimal choice for machine learning training and proposed instructions. |
| IP Reference | US20190042544 |
| Protection | Patent application published |
| Year Protection Granted | 2019 |
| Licensed | Yes |
| Impact | We demonstrated that a new non-IEEE 16 bit floating point format is the optimal choice for machine learning training and proposed instructions. Intel filed this with US patent office. This IP is owned by Intel under the terms of the Intel Turing strategic partnership contract. As a co-inventor I have been named on the patent application. The proposed format has been announced as planned for use in future Intel architectures. This collaboration with Turing emerged out of an investment in Edinburgh by Intel Pathfinding and Architecture Group in codesign with lattice gauge theory simulations. Intel hired DiRAC RSE's Kashyap and Lepper and placed them in Edinburgh to work with me on Machine Learning codesign through the Turing programme. |
| Title | Symplectic lattice gauge theories on Grid: approaching the conformal window-analysis code |
| Description | This is the analysis code that has been used to analyse and plot the data for the paper 'Symplectic lattice gauge theories on Grid: approaching the conformal window' (arXiv:2306.11649). |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| URL | https://zenodo.org/record/8136513 |