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
Trujillo-Gomez S
(2021)
The kinematics of globular cluster populations in the E-MOSAICS simulations and their implications for the assembly history of the Milky Way
in Monthly Notices of the Royal Astronomical Society
Upadhyay A
(2021)
Star formation histories of Coma cluster galaxies matched to simulated orbits hint at quenching around first pericenter
in Astronomy & Astrophysics
Ural U
(2015)
An inefficient dwarf: chemical abundances and the evolution of the Ursa Minor dwarf spheroidal galaxy
in Monthly Notices of the Royal Astronomical Society
Vandenbroucke B
(2021)
Polarised emission from aligned dust grains in nearby galaxies: Predictions from the Auriga simulations
in Astronomy & Astrophysics
Vandenbroucke B
(2019)
Testing the stability of supersonic ionized Bondi accretion flows with radiation hydrodynamics
in Monthly Notices of the Royal Astronomical Society
Vandenbroucke B
(2020)
Infrared luminosity functions and dust mass functions in the EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Van Daalen M
(2020)
Exploring the effects of galaxy formation on matter clustering through a library of simulation power spectra
in Monthly Notices of the Royal Astronomical Society
Van der Werf P
(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
Van Loon M
(2021)
Explaining the scatter in the galaxy mass-metallicity relation with gas flows
in Monthly Notices of the Royal Astronomical Society
Vera-Casanova A
(2022)
Linking the brightest stellar streams with the accretion history of Milky Way like galaxies
in Monthly Notices of the Royal Astronomical Society
Viallet M
(2016)
A Jacobian-free Newton-Krylov method for time-implicit multidimensional hydrodynamics Physics-based preconditioning for sound waves and thermal diffusion
in Astronomy & Astrophysics
Vidal J
(2020)
Turbulent Viscosity Acting on the Equilibrium Tidal Flow in Convective Stars
in The Astrophysical Journal Letters
Vidal J
(2020)
Efficiency of tidal dissipation in slowly rotating fully convective stars or planets
in Monthly Notices of the Royal Astronomical Society
Viel M
(2017)
Diagnosing galactic feedback with line broadening in the low redshift Lyman-a forest
in Monthly Notices of the Royal Astronomical Society: Letters
Vijayan A
(2020)
First Light And Reionisation Epoch Simulations (FLARES) II: The Photometric Properties of High-Redshift Galaxies
in Monthly Notices of the Royal Astronomical Society
Vijayan A
(2022)
First Light And Reionisation Epoch Simulations (FLARES) - III. The properties of massive dusty galaxies at cosmic dawn
in Monthly Notices of the Royal Astronomical Society
Vincenzo F
(2019)
Zoom-in cosmological hydrodynamical simulation of a star-forming barred, spiral galaxy at redshift z = 2
in Monthly Notices of the Royal Astronomical Society
Vincenzo F
(2019)
He abundances in disc galaxies I. Predictions from cosmological chemodynamical simulations
in Astronomy & Astrophysics
Vizgan D
(2022)
Investigating the [C ii]-to-H i Conversion Factor and the H i Gas Budget of Galaxies at z ˜ 6 with Hydrodynamic Simulations
in The Astrophysical Journal Letters
Volonteri Marta
(2016)
The cosmic evolution of massive black holes in the Horizon-AGN simulation
in ArXiv e-prints
Wakita S
(2022)
Effect of Impact Velocity and Angle on Deformational Heating and Postimpact Temperature
in Journal of Geophysical Research: Planets
Wang J
(2020)
Universal structure of dark matter haloes over a mass range of 20 orders of magnitude.
in Nature
Wang Y
(2020)
Iterative removal of redshift-space distortions from galaxy clustering
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
Wareing C
(2018)
A new mechanical stellar wind feedback model for the Rosette Nebula
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 |