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
Camps P
(2021)
Effects of Spatial Discretization in Lya Line Radiation Transfer Simulations
in The Astrophysical Journal
Camps P
(2022)
High-resolution synthetic UV-submm images for Milky Way-mass simulated galaxies from the ARTEMIS project
in Monthly Notices of the Royal Astronomical Society
Can K
(2020)
Lattice QCD evaluation of the Compton amplitude employing the Feynman-Hellmann theorem
in Physical Review D
Candlish G
(2016)
Weighing the galactic disc using the Jeans equation: lessons from simulations
in Monthly Notices of the Royal Astronomical Society
Cao K
(2021)
Studying galaxy cluster morphological metrics with mock-X
in Monthly Notices of the Royal Astronomical Society
Cashmore C
(2017)
Too small to succeed: the difficulty of sustaining star formation in low-mass haloes
in Monthly Notices of the Royal Astronomical Society
Caswell J. L.
(2014)
VizieR Online Data Catalog: 6-GHz methanol multibeam maser catalogue (Caswell+, 2010-12)
in VizieR Online Data Catalog
Cataldi P
(2022)
Fingerprints of modified gravity on galaxies in voids
in Monthly Notices of the Royal Astronomical Society
Cataneo M
(2022)
The matter density PDF for modified gravity and dark energy with Large Deviations Theory
in Monthly Notices of the Royal Astronomical Society
Cataneo M
(2019)
On the road to percent accuracy: non-linear reaction of the matter power spectrum to dark energy and modified gravity
in Monthly Notices of the Royal Astronomical Society
Cautun M
(2019)
The aftermath of the Great Collision between our Galaxy and the Large Magellanic Cloud
in Monthly Notices of the Royal Astronomical Society
Ceuster F
(2022)
3D Line Radiative Transfer & Synthetic Observations with Magritte
in Journal of Open Source Software
Chachan Y
(2019)
Dust accretion in binary systems: implications for planets and transition discs
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
Chakraborty B
(2021)
Improved V c s determination using precise lattice QCD form factors for D ? K l ?
in Physical Review D
Chan K
(2022)
Single fluid versus multifluid: comparison between single-fluid and multifluid dust models for disc-planet interactions
in Monthly Notices of the Royal Astronomical Society
Chan T
(2021)
Smoothed particle radiation hydrodynamics: two-moment method with local Eddington tensor closure
in Monthly Notices of the Royal Astronomical Society
Changeat Q
(2020)
KELT-11 b: Abundances of Water and Constraints on Carbon-bearing Molecules from the Hubble Transmission Spectrum
in The Astronomical Journal
Changeat Q
(2022)
Disentangling atmospheric compositions of K2-18 b with next generation facilities.
in Experimental astronomy
Changeat Q
(2020)
TauREx3 PhaseCurve: A 1.5D Model for Phase-curve Description
in The Astrophysical Journal
Changeat Q
(2021)
An Exploration of Model Degeneracies with a Unified Phase Curve Retrieval Analysis: The Light and Dark Sides of WASP-43 b
in The Astrophysical Journal
Changeat Q
(2023)
ESA-Ariel Data Challenge NeurIPS 2022: introduction to exo-atmospheric studies and presentation of the Atmospheric Big Challenge (ABC) Database
in RAS Techniques and Instruments
Changeat Q
(2022)
Five Key Exoplanet Questions Answered via the Analysis of 25 Hot-Jupiter Atmospheres in Eclipse
in The Astrophysical Journal Supplement Series
Changeat Q
(2022)
On Spectroscopic Phase-curve Retrievals: H 2 Dissociation and Thermal Inversion in the Atmosphere of the Ultrahot Jupiter WASP-103 b
in The Astronomical Journal
Changeat Q
(2024)
Is the Atmosphere of the Ultra-hot Jupiter WASP-121 b Variable?
in The Astrophysical Journal Supplement Series
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 |