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
Richings J
(2020)
Subhalo destruction in the Apostle and Auriga simulations
in Monthly Notices of the Royal Astronomical Society
Richings J
(2021)
A high-resolution cosmological simulation of a strong gravitational lens
in Monthly Notices of the Royal Astronomical Society
Richings J
(2019)
QED corrections to leptonic decay rates
Richings A
(2022)
The effects of local stellar radiation and dust depletion on non-equilibrium interstellar chemistry
in Monthly Notices of the Royal Astronomical Society
Richings A
(2021)
Unravelling the physics of multiphase AGN winds through emission line tracers
in Monthly Notices of the Royal Astronomical Society
Richards A
(2014)
ALMA sub-mm maser and dust distribution of VY Canis Majoris
in Astronomy & Astrophysics
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
Rey-Raposo R
(2015)
Are turbulent spheres suitable initial conditions for star-forming clouds?
in Monthly Notices of the Royal Astronomical Society: Letters
Rey M
(2019)
EDGE: The Origin of Scatter in Ultra-faint Dwarf Stellar Masses and Surface Brightnesses
in The Astrophysical Journal
Rey M
(2020)
EDGE: from quiescent to gas-rich to star-forming low-mass dwarf galaxies
in Monthly Notices of the Royal Astronomical Society
Reissl S
(2020)
Synthetic observations of spiral arm tracers of a simulated Milky Way analog
in Astronomy & Astrophysics
Reina-Campos M
(2019)
Formation histories of stars, clusters, and globular clusters in the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Reina-Campos M
(2022)
Radial distributions of globular clusters trace their host dark matter halo: insights from the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Reid J
(2021)
Linking computational models to follow the evolution of heated coronal plasma
in Monthly Notices of the Royal Astronomical Society
Reid J
(2020)
Coronal energy release by MHD avalanches: Heating mechanisms
in Astronomy & Astrophysics
Regan J
(2019)
Super-Eddington accretion and feedback from the first massive seed black holes
in Monthly Notices of the Royal Astronomical Society
Read P
(2020)
Baroclinic and barotropic instabilities in planetary atmospheres: energetics, equilibration and adjustment
in Nonlinear Processes in Geophysics
Read P
(2020)
The turbulent dynamics of Jupiter's and Saturn's weather layers: order out of chaos?
in Geoscience Letters
Ray G
(2022)
Determination of hybrid charmonium meson masses
Ratnasingam R
(2023)
Internal gravity waves in massive stars II. Frequency analysis across stellar mass
in Astronomy & Astrophysics
Raste J
(2021)
Implications of the z > 5 Lyman-a forest for the 21-cm power spectrum from the epoch of reionization
in Monthly Notices of the Royal Astronomical Society
Ramírez-Galeano L
(2022)
Why most molecular clouds are gravitationally dominated
in Monthly Notices of the Royal Astronomical Society
Ramsøy M
(2021)
Rivers of gas - I. Unveiling the properties of high redshift filaments
in Monthly Notices of the Royal Astronomical Society
Raj A
(2021)
Disk Tearing: Implications for Black Hole Accretion and AGN Variability
in The Astrophysical Journal
Raj A
(2021)
Disk Tearing: Numerical Investigation of Warped Disk Instability
in The Astrophysical Journal
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 |