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
Monaco P
(2020)
The accuracy of weak lensing simulations
in Monthly Notices of the Royal Astronomical Society
Bulla M
(2016)
Predicting polarization signatures for double-detonation and delayed-detonation models of Type Ia supernovae
in Monthly Notices of the Royal Astronomical Society
Hernández-Aguayo C
(2021)
Galaxy formation in the brane world I: overview and first results
in Monthly Notices of the Royal Astronomical Society
Gray M
(2015)
The physics of water masers observable with ALMA and SOFIA: model predictions for evolved stars
in Monthly Notices of the Royal Astronomical Society
Santos-Santos I
(2020)
Baryonic clues to the puzzling diversity of dwarf galaxy rotation curves
in Monthly Notices of the Royal Astronomical Society
Currie L
(2020)
Convection with misaligned gravity and rotation: simulations and rotating mixing length theory
in Monthly Notices of the Royal Astronomical Society
Chaikin E
(2022)
The importance of the way in which supernova energy is distributed around young stellar populations in simulations of galaxies
in Monthly Notices of the Royal Astronomical Society
Chardin J
(2015)
Calibrating cosmological radiative transfer simulations with Ly a forest data: evidence for large spatial UV background fluctuations at z ~ 5.6-5.8 due to rare bright sources
in Monthly Notices of the Royal Astronomical Society
Chen C
(2023)
Can a binary star host three giant circumbinary planets?
in Monthly Notices of the Royal Astronomical Society
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
Fiteni K
(2021)
The relative efficiencies of bars and clumps in driving disc stars to retrograde motion
in Monthly Notices of the Royal Astronomical Society
Gurung-López S
(2021)
Determining the systemic redshift of Lyman a emitters with neural networks and improving the measured large-scale clustering
in Monthly Notices of the Royal Astronomical Society
Baugh C
(2022)
Modelling emission lines in star-forming galaxies
in Monthly Notices of the Royal Astronomical Society
Kimm T
(2019)
Understanding the escape of LyC and Lya photons from turbulent clouds
in Monthly Notices of the Royal Astronomical Society
Correa C
(2020)
The dependence of the galaxy stellar-to-halo mass relation on galaxy morphology
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
Cooke R
(2020)
The ACCELERATION programme: I. Cosmology with the redshift drift
in Monthly Notices of the Royal Astronomical Society
He Q
(2022)
A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses
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
Rhodin N
(2019)
The nature of strong H i absorbers probed by cosmological simulations: satellite accretion and outflows
in Monthly Notices of the Royal Astronomical Society
Wareing C
(2019)
Sheets, filaments, and clumps - high-resolution simulations of how the thermal instability can form molecular clouds
in Monthly Notices of the Royal Astronomical Society
Ludlow A
(2019)
Numerical convergence of simulations of galaxy formation: the abundance and internal structure of cold dark matter haloes
in Monthly Notices of the Royal Astronomical Society
Pfeifer S
(2020)
The bahamas project: effects of a running scalar spectral index on large-scale structure
in Monthly Notices of the Royal Astronomical Society
Pittard J
(2018)
Colliding stellar winds structure and X-ray emission
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2019)
Disc formation and fragmentation using radiative non-ideal magnetohydrodynamics
in Monthly Notices of the Royal Astronomical Society
Bastian N
(2020)
The globular cluster system mass-halo mass relation in the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Costa T
(2018)
Driving gas shells with radiation pressure on dust in radiation-hydrodynamic simulations
in Monthly Notices of the Royal Astronomical Society
Benitez-Llambay A
(2020)
The detailed structure and the onset of galaxy formation in low-mass gaseous dark matter haloes
in Monthly Notices of the Royal Astronomical Society
Frenk C
(2020)
The missing dwarf galaxies of the Local Group
in Monthly Notices of the Royal Astronomical Society
Porth L
(2021)
Fast estimation of aperture-mass statistics - II. Detectability of higher order statistics in current and future surveys
in Monthly Notices of the Royal Astronomical Society
Smith G
(2020)
The distribution of dark matter and gas spanning 6 Mpc around the post-merger galaxy cluster MS 0451-03
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
Van Loon M
(2021)
Explaining the scatter in the galaxy mass-metallicity relation with gas flows
in Monthly Notices of the Royal Astronomical Society
Ghosh S
(2022)
Age dissection of the vertical breathing motions in Gaia DR2: evidence for spiral driving
in Monthly Notices of the Royal Astronomical Society
Santos-Santos I
(2021)
Magellanic satellites in ?CDM cosmological hydrodynamical simulations of the Local Group
in Monthly Notices of the Royal Astronomical Society
Pattle K
(2015)
The JCMT Gould Belt Survey: first results from the SCUBA-2 observations of the Ophiuchus molecular cloud and a virial analysis of its prestellar core population
in Monthly Notices of the Royal Astronomical Society
Alexander R
(2015)
Magnetospheres of hot Jupiters: hydrodynamic models and ultraviolet absorption
in Monthly Notices of the Royal Astronomical Society
Gratton S
(2020)
Understanding parameter differences between analyses employing nested data subsets
in Monthly Notices of the Royal Astronomical Society
Yang T
(2022)
Understanding the relation between thermal Sunyaev-Zeldovich decrement and halo mass using the simba and TNG simulations
in Monthly Notices of the Royal Astronomical Society
Dobbs C
(2019)
Comparing the properties of GMCs in M33 from simulations and observations
in Monthly Notices of the Royal Astronomical Society
Kimm T
(2017)
Feedback-regulated star formation and escape of LyC photons from mini-haloes during reionisation
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2018)
On the origin of magnetic fields in stars
in Monthly Notices of the Royal Astronomical Society
Vandenbroucke B
(2019)
Testing the stability of supersonic ionized Bondi accretion flows with radiation hydrodynamics
in Monthly Notices of the Royal Astronomical Society
Sorini D
(2022)
How baryons affect haloes and large-scale structure: a unified picture from the Simba simulation
in Monthly Notices of the Royal Astronomical Society
Lovell C
(2022)
An orientation bias in observations of submillimetre galaxies
in Monthly Notices of the Royal Astronomical Society
Font A
(2022)
Quenching of satellite galaxies of Milky Way analogues: reconciling theory and observations
in Monthly Notices of the Royal Astronomical Society
Pettini M
(2020)
A bound on the 12C/13C ratio in near-pristine gas with ESPRESSO
in Monthly Notices of the Royal Astronomical Society
Sorini D
(2020)
simba: the average properties of the circumgalactic medium of 2 = z = 3 quasars are determined primarily by stellar feedback
in Monthly Notices of the Royal Astronomical Society
Deason A
(2022)
Dwarf stellar haloes: a powerful probe of small-scale galaxy formation and the nature of dark matter
in Monthly Notices of the Royal Astronomical Society
Elvis M
(2020)
Q wind code release: a non-hydrodynamical approach to modelling line-driven winds in active galactic nuclei
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 |