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
Howson T
(2019)
Magnetohydrodynamic waves in braided magnetic fields
in Astronomy & Astrophysics
Alexander R
(2015)
Magnetospheres of hot Jupiters: hydrodynamic models and ultraviolet absorption
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
Helfer T
(2022)
Malaise and remedy of binary boson-star initial data
in Classical and Quantum Gravity
Kelly G
(2015)
Mapping CS in starburst galaxies: Disentangling and characterising dense gas
in Astronomy & Astrophysics
Robertson A
(2020)
Mapping dark matter and finding filaments: calibration of lensing analysis techniques on simulated data
in Monthly Notices of the Royal Astronomical Society
Aviles A
(2020)
Marked correlation functions in perturbation theory
in Journal of Cosmology and Astroparticle Physics
Pimpanuwat B
(2020)
Maser flares driven by variations in pumping and background radiation
in Monthly Notices of the Royal Astronomical Society
Trayford J
(2020)
Massive low-surface-brightness galaxies in the eagle simulation
in Monthly Notices of the Royal Astronomical Society
Pedersen C
(2020)
Massive neutrinos and degeneracies in Lyman-alpha forest simulations
in Journal of Cosmology and Astroparticle Physics
Jackson R
(2019)
Massive spheroids can form in single minor mergers
in Monthly Notices of the Royal Astronomical Society
Stevenson P
(2022)
Mean-field simulations of Es-254 + Ca-48 heavy-ion reactions
in Frontiers in Physics
Maitra S
(2022)
Measurement of redshift-space two- and three-point correlation of Lya absorbers at 1.7 < z < 3.5: implications on evolution of the physical properties of IGM
in Monthly Notices of the Royal Astronomical Society
Li B
(2020)
Measuring the baryon acoustic oscillation peak position with different galaxy selections
in Monthly Notices of the Royal Astronomical Society
Gaikwad P
(2023)
Measuring the photoionization rate, neutral fraction, and mean free path of H i ionizing photons at 4.9 = z = 6.0 from a large sample of XShooter and ESI spectra
in Monthly Notices of the Royal Astronomical Society
Garzilli A
(2020)
Measuring the temperature and profiles of Ly a absorbers
in Monthly Notices of the Royal Astronomical Society
Srisawat C
(2020)
MEGA: Merger graphs of structure formation
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
Davies C.T.H.
(2018)
Meson electromagnetic form factors from lattice QCD
in Proceedings of Science
Davies C
(2019)
Meson electromagnetic form factors from lattice QCD
Nikolaev A
(2020)
Mesonic correlators at non-zero baryon chemical potential
Guo Y
(2020)
Metal Enrichment in the Circumgalactic Medium and Ly a Halos around Quasars at z ~ 3
in The Astrophysical Journal
Dutta R
(2021)
Metal-enriched halo gas across galaxy overdensities over the last 10 billion years
in Monthly Notices of the Royal Astronomical Society
Gronow S
(2021)
Metallicity-dependent nucleosynthetic yields of Type Ia supernovae originating from double detonations of sub- M Ch white dwarfs
in Astronomy & Astrophysics
Pagano P
(2019)
MHD simulations of the in situ generation of kink and sausage waves in the solar corona by collision of dense plasma clumps
in Astronomy & Astrophysics
Burgess D
(2016)
Microstructure in two- and three-dimensional hybrid simulations of perpendicular collisionless shocks
in Journal of Plasma Physics
McNally C
(2019)
Migrating super-Earths in low-viscosity discs: unveiling the roles of feedback, vortices, and laminar accretion flows
in Monthly Notices of the Royal Astronomical Society
Aumer M
(2017)
Migration and kinematics in growing disc galaxies with thin and thick discs
in Monthly Notices of the Royal Astronomical Society
Lega E
(2022)
Migration of Jupiter mass planets in discs with laminar accretion flows
in Astronomy & Astrophysics
Lega E
(2021)
Migration of Jupiter-mass planets in low-viscosity discs
in Astronomy & Astrophysics
Pontzen A
(2015)
Milking the spherical cow - on aspherical dynamics in spherical coordinates
in Monthly Notices of the Royal Astronomical Society
Dunhill A
(2014)
Misaligned accretion on to supermassive black hole binaries
in Monthly Notices of the Royal Astronomical Society
Dunhill A
(2014)
Misaligned accretion on to supermassive black hole binaries
in Monthly Notices of the Royal Astronomical Society
Gingell I
(2017)
MMS Observations and Hybrid Simulations of Surface Ripples at a Marginally Quasi-Parallel Shock
in Journal of Geophysical Research: Space Physics
Salvioni G
(2020)
Model nuclear energy density functionals derived from ab initio calculations
in Journal of Physics G: Nuclear and Particle Physics
Franci L
(2020)
Modeling MMS Observations at the Earth's Magnetopause with Hybrid Simulations of Alfvénic Turbulence
in The Astrophysical Journal
Weber M
(2016)
MODELING THE RISE OF FIBRIL MAGNETIC FIELDS IN FULLY CONVECTIVE STARS
in The Astrophysical Journal
Waterfall C
(2022)
Modeling the Transport of Relativistic Solar Protons along a Heliospheric Current Sheet during Historic GLE Events
in The Astrophysical Journal
Baugh C
(2022)
Modelling emission lines in star-forming galaxies
in Monthly Notices of the Royal Astronomical Society
Suarez T
(2021)
Modelling intergalactic low ionization metal absorption line systems near the epoch of reionization
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
Acreman D
(2015)
Modelling multiwavelength observational characteristics of bow shocks from runaway early-type stars
in Monthly Notices of the Royal Astronomical Society
Hutchinson A
(2023)
Modelling shock-like injections of solar energetic particles with 3D test particle simulations
in Astronomy & Astrophysics
Clark VHJ
(2021)
Modelling the non-local thermodynamic equilibrium spectra of silylene (SiH2).
in Physical chemistry chemical physics : PCCP
Manzoni G
(2021)
Modelling the quenching of star formation activity from the evolution of the colour-magnitude relation in VIPERS
in New Astronomy
He J
(2020)
Modelling the tightest relation between galaxy properties and dark matter halo properties from hydrodynamical simulations of galaxy formation
in Monthly Notices of the Royal Astronomical Society
Rouillard A
(2020)
Models and data analysis tools for the Solar Orbiter mission
in Astronomy & Astrophysics
Lach F
(2022)
Models of pulsationally assisted gravitationally confined detonations with different ignition conditions
in Astronomy & Astrophysics
Kulkarni G
(2016)
Models of the cosmological 21 cm signal from the epoch of reionization calibrated with Ly a and CMB data
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 |
| 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 | 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 |