DiRAC-2: Recurrent Costs for Complexity@DiRAC Cluster at University of Leicester
Lead Research Organisation:
University of Leicester
Department Name: Physics and Astronomy
Abstract
This award is for the recurrent costs of Complexity@DiRAC cluster at the the University of Leicester. It will cover electricity costs, support staff costs of the cluster which is part of the DiRAC-2 national facility.
Planned Impact
The pathways to impact for the project are as agreed at the DiRAC PMB meeting on 21 November 2011 and subsequently reported on in the annual reports of the facility.
The high-performance computing applications supported by DiRAC typically involve new algorithms and implementations optimised for high energy efficiency which impose demands on computer architectures that the computing industry has found useful for hardware and system software design and testing.
DiRAC researchers have on-going collaborations with computing companies that maintain this strong connection between the scientific goals of the DiRAC Consortium and the development of new computing technologies that drive the commercial high-performance computing market, with economic benefits to the companies involved and more powerful computing capabilities available to other application areas including many that address socio-economic challenges.
Boyle (University of Edinburgh) co-designed the Blue-Gene/Q compute chip with IBM. This is now deployed in 1.3 Pflop/s systems at Edinburgh and Daresbury and 15 other sites in the world, including the world's largest system at Lawrence Livermore Labs. This is the greenest HPC architecture in the world and offers a route to cheap affordable petascale and exascale computing that will have profound effects on Energy, Health, Environment and Security sectors.
Boyle and IBM have 4 US patents pending resulting from the Blue Gene/Q chip set design project with IBM. Boyle was a co-author of IBM's Gauss Award winning paper at the International Supercomputing conference and has co-authored IEEE and IBM Journal papers on the Blue Gene/Q architecture with IBM.
Falle (Leeds University) partially developed the MG code on DiRAC. This has been used in the National Grid COOLTRANS project to model dispersion of CO2 from high pressure pipelines carrying CO2 for carbon sequestration.
At UCL, a virtual quantum laboratory suite has been created by the UCL spinout firm, QUANTEMOL. It has application in industry, energy, health and environmental monitoring.
Calleja (Cambridge University) is using DiRAC to work with Xyratex, the UK's leading disk manufacturer, to develop the fastest storage arrays in the world.
The COSMOS consortium (Shellard) has had a long-standing collaboration with SGI (since 1997) and with Intel (since 2003) which has allowed access to leading-edge shared-memory technologies, inlcuding the world's first UV2000 in 2012, which was also the first SMP system enabled with Intel Phi (KnightsCorner) processors. Adaptive Computing are using the COSMOS@DiRAC platform to develop a single-image version of their MOAB HPC Suite.
The high-performance computing applications supported by DiRAC typically involve new algorithms and implementations optimised for high energy efficiency which impose demands on computer architectures that the computing industry has found useful for hardware and system software design and testing.
DiRAC researchers have on-going collaborations with computing companies that maintain this strong connection between the scientific goals of the DiRAC Consortium and the development of new computing technologies that drive the commercial high-performance computing market, with economic benefits to the companies involved and more powerful computing capabilities available to other application areas including many that address socio-economic challenges.
Boyle (University of Edinburgh) co-designed the Blue-Gene/Q compute chip with IBM. This is now deployed in 1.3 Pflop/s systems at Edinburgh and Daresbury and 15 other sites in the world, including the world's largest system at Lawrence Livermore Labs. This is the greenest HPC architecture in the world and offers a route to cheap affordable petascale and exascale computing that will have profound effects on Energy, Health, Environment and Security sectors.
Boyle and IBM have 4 US patents pending resulting from the Blue Gene/Q chip set design project with IBM. Boyle was a co-author of IBM's Gauss Award winning paper at the International Supercomputing conference and has co-authored IEEE and IBM Journal papers on the Blue Gene/Q architecture with IBM.
Falle (Leeds University) partially developed the MG code on DiRAC. This has been used in the National Grid COOLTRANS project to model dispersion of CO2 from high pressure pipelines carrying CO2 for carbon sequestration.
At UCL, a virtual quantum laboratory suite has been created by the UCL spinout firm, QUANTEMOL. It has application in industry, energy, health and environmental monitoring.
Calleja (Cambridge University) is using DiRAC to work with Xyratex, the UK's leading disk manufacturer, to develop the fastest storage arrays in the world.
The COSMOS consortium (Shellard) has had a long-standing collaboration with SGI (since 1997) and with Intel (since 2003) which has allowed access to leading-edge shared-memory technologies, inlcuding the world's first UV2000 in 2012, which was also the first SMP system enabled with Intel Phi (KnightsCorner) processors. Adaptive Computing are using the COSMOS@DiRAC platform to develop a single-image version of their MOAB HPC Suite.
Publications
Abbott R
(2020)
Direct C P violation and the ? I = 1 / 2 rule in K ? p p decay from the standard model
in Physical Review D
Achúcarro A
(2019)
Cosmological evolution of semilocal string networks.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Acreman D
(2015)
Modelling multiwavelength observational characteristics of bow shocks from runaway early-type stars
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
Adam A
(2019)
Nonresonant Raman spectra of the methyl radical 12CH3 simulated in variational calculations
in Journal of Molecular Spectroscopy
Adam AY
(2019)
Variationally Computed IR Line List for the Methyl Radical CH3.
in The journal of physical chemistry. A
Adamek J
(2020)
Numerical solutions to Einstein's equations in a shearing-dust universe: a code comparison
in Classical and Quantum Gravity
Agertz O
(2020)
EDGE: the mass-metallicity relation as a critical test of galaxy formation physics
in Monthly Notices of the Royal Astronomical Society
Agudelo Rueda J
(2022)
Energy Transport during 3D Small-scale Reconnection Driven by Anisotropic Plasma Turbulence
in The Astrophysical Journal
Agudelo Rueda J
(2021)
Three-dimensional magnetic reconnection in particle-in-cell simulations of anisotropic plasma turbulence
in Journal of Plasma Physics
Ahad S
(2024)
An environment-dependent halo mass function as a driver for the early quenching of z = 1.5 cluster galaxies
in Monthly Notices of the Royal Astronomical Society
Ahad S
(2021)
The stellar mass function and evolution of the density profile of galaxy clusters from the Hydrangea simulations at 0 < z < 1.5
in Monthly Notices of the Royal Astronomical Society
Al-Refaie A
(2021)
TauREx 3: A Fast, Dynamic, and Extendable Framework for Retrievals
in The Astrophysical Journal
Alexander R
(2015)
Magnetospheres of hot Jupiters: hydrodynamic models and ultraviolet absorption
in Monthly Notices of the Royal Astronomical Society
Ali A
(2018)
Modelling massive star feedback with Monte Carlo radiation hydrodynamics: photoionization and radiation pressure in a turbulent cloud
in Monthly Notices of the Royal Astronomical Society
Ali A
(2019)
Massive star feedback in clusters: variation of the FUV interstellar radiation field in time and space
in Monthly Notices of the Royal Astronomical Society
Alielden K
(2023)
ARTop: an open-source tool for measuring active region topology at the solar photosphere
in RAS Techniques and Instruments
Alioli S
(2021)
Four-lepton production in gluon fusion at NLO matched to parton showers
in The European Physical Journal C
Allanson O
(2019)
Particle-in-cell Experiments Examine Electron Diffusion by Whistler-mode Waves: 1. Benchmarking With a Cold Plasma
in Journal of Geophysical Research: Space Physics
Allanson O
(2021)
Electron Diffusion and Advection During Nonlinear Interactions With Whistler-Mode Waves
in Journal of Geophysical Research: Space Physics
Allanson O
(2020)
Particle-in-Cell Experiments Examine Electron Diffusion by Whistler-Mode Waves: 2. Quasi-Linear and Nonlinear Dynamics
in Journal of Geophysical Research: Space Physics
Allton C
(2023)
Recent results from the FASTSUM Collaboration
Allton C
(2024)
Thermal lattice QCD results from the FASTSUM collaboration
Almaraz E
(2020)
Nonlinear structure formation in Bound Dark Energy
in Journal of Cosmology and Astroparticle Physics
Alvarez M
(2023)
NNLO QCD corrections to event shapes at the LHC
in Journal of High Energy Physics
Aly H
(2015)
Misaligned gas discs around eccentric black hole binaries and implications for the final-parsec problem
in Monthly Notices of the Royal Astronomical Society
Aly H
(2015)
Misaligned gas discs around eccentric black hole binaries and implications for the final-parsec problem
in Monthly Notices of the Royal Astronomical Society
Aly H
(2015)
Misaligned gas discs around eccentric black hole binaries and implications for the final-parsec problem
in Monthly Notices of the Royal Astronomical Society
Amarante J
(2020)
The Splash without a Merger
in The Astrophysical Journal Letters
Amarantidis S
(2019)
The first supermassive black holes: indications from models for future observations
in Monthly Notices of the Royal Astronomical Society
Amorisco N
(2022)
Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses
in Monthly Notices of the Royal Astronomical Society
Amundsen D
(2017)
Treatment of overlapping gaseous absorption with the correlated- k method in hot Jupiter and brown dwarf atmosphere models
in Astronomy & Astrophysics
Amundsen D
(2016)
The UK Met Office global circulation model with a sophisticated radiation scheme applied to the hot Jupiter HD 209458b
in Astronomy & Astrophysics
Amvrosiadis A
(2025)
The onset of bar formation in a massive galaxy at z ~ 3.8
in Monthly Notices of the Royal Astronomical Society
Anderson S
(2022)
The secular growth of bars revealed by flat (peak + shoulders) density profiles
in Monthly Notices of the Royal Astronomical Society
Andrade T
(2021)
GRChombo: An adaptable numerical relativity code for fundamental physics
in Journal of Open Source Software
Andrassy R
(2022)
Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes
in Astronomy & Astrophysics
Anisman L
(2022)
Cross-sections for heavy atmospheres: H 2 O continuum
in Journal of Quantitative Spectroscopy and Radiative Transfer
Anisman L
(2020)
WASP-117 b: An Eccentric Hot Saturn as a Future Complex Chemistry Laboratory
in The Astronomical Journal
Antoja T
(2014)
Constraints on the Galactic bar from the Hercules stream as traced with RAVE across the Galaxy
in Astronomy & Astrophysics
Antolin P
(2020)
Reconnection nanojets in the solar corona
in Nature Astronomy
Aoyama T
(2020)
The anomalous magnetic moment of the muon in the Standard Model
in Physics Reports
Appleby S
(2021)
The low-redshift circumgalactic medium in simba
in Monthly Notices of the Royal Astronomical Society
Appleby S
(2020)
The impact of quenching on galaxy profiles in the simba simulation
in Monthly Notices of the Royal Astronomical Society
Armijo J
(2022)
Making use of sub-resolution haloes in N -body simulations
in Monthly Notices of the Royal Astronomical Society: Letters
Armijo J
(2024)
A new test of gravity - I. Introduction to the method
in Monthly Notices of the Royal Astronomical Society
Armijo J
(2024)
A new test of gravity - II. Application of marked correlation functions to luminous red galaxy samples
in Monthly Notices of the Royal Astronomical Society
Armitage T
(2019)
An application of machine learning techniques to galaxy cluster mass estimation using the MACSIS simulations
in Monthly Notices of the Royal Astronomical Society
| Description | Many new discoveries about the formation and evolution of galaxies, star formation, planet formation have been made possible by the award. |
| Exploitation Route | 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 Manufacturing including Industrial Biotechology Retail Other |
| URL | http://www.dirac.ac.uk |
| Description | Significant co-design project with Hewlett-Packard Enterprise, including partnership in the HPE/Arm/Suse Catalyst UK programme. |
| First Year Of Impact | 2017 |
| Sector | Digital/Communication/Information Technologies (including Software) |
| Impact Types | Societal |
| Description | DiRAC 2.5x Project Office 2017-2020 |
| Amount | £300,000 (GBP) |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2018 |
| End | 03/2020 |
| Title | Citation analysys and Impact |
| Description | Use of IT to determineacademic impact of eInfrastructure |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | Understood emerging trends in DiRAC Science and helped decide the scale and type of IT investments and direct us to develop new technologies |
| URL | http://www.dirac.ac.uk |
| Title | Runaway gas accretion and ALMA observations |
| Description | VizieR online Data Catalogue associated with article published in journal Monthly Notices of the Royal Astronomical Society with title ' ALMA observations require slower Core Accretion runaway growth.' (bibcode: 2019MNRAS.488L..12N) |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/488/L12 |
| Description | Co-design project with Hewlett Packard Enterprise |
| Organisation | Hewlett Packard Enterprise (HPE) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Technical support and operations costs for running the hardware. Research workflows to test the system performance, and investment of academic time and software engineering time to optimise code for new hardware. Project will explore suitability of hardware for DiRAC workflows and provide feedback to HPE. |
| Collaborator Contribution | In-kind provision of research computing hardware. Value is commercially confidential. |
| Impact | As this collaboration is about to commence, there are no outcomes to report at this point. |
| Start Year | 2018 |
| Description | DiRAC |
| Organisation | Science and Technologies Facilities Council (STFC) |
| Department | Distributed Research Utilising Advanced Computing |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I am the PI for two research grants for the procurement and running of the Complexity@DiRAC High Performance Computing cluster at the University of Leicester. This cluster is now in active operation as a national HPC facility. |
| Collaborator Contribution | DiRAC is the facility which provides HPC resources for the theoretical astrophysics and particle physics communities within STFC. |
| Impact | The establishment and running of a new HPC cluster at the University of Leicester as part of the DiRAC national facility. |
| Start Year | 2011 |
| Description | Nuclei from Lattice QCD |
| Organisation | RIKEN |
| Department | RIKEN-Nishina Center for Accelerator-Based Science |
| Country | Japan |
| Sector | Public |
| PI Contribution | Surrey performed ab initio studies of LQCD-derived nuclear forces |
| Collaborator Contribution | Work by Prof. Hatsuda and collaborators at the iTHEMS and Quantum Hadron Physics Laboratory to provide nuclear forces derived from LQCD |
| Impact | Phys. Rev. C 97, 021303(R) |
| Start Year | 2015 |
| Description | STFC Centres for Doctoral Training in Data Intensive Science |
| Organisation | University of Leicester |
| Department | STFC DiRAC Complexity Cluster (HPC Facility Leicester) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Support for STFC Centres for Doctoral Training (CDT) in Data Intensive Science - DiRAC is a partner in five of the eight of the newly established STFC CDTs, and is actively engaged with them in developing industrial partnerships. DiRAC is also offering placements to CDT students interested in Research Software Engineering roles. |
| Collaborator Contribution | Students to work on interesting technical problems for DiRAC |
| Impact | This is the first year |
| Start Year | 2017 |