STFC DiRAC Project Office 2014-2017
Lead Research Organisation:
University College London
Department Name: Physics and Astronomy
Abstract
It is now accepted that "computational science, the scientific investigation of physical processes through modelling and simulation on computers," is the third pillar of science, complementing and extending theory and experimentation" (International Review of Research using HPC in the UK, 2005).
The STFC DIRAC High Performance Computing Facility supports the simulation and modelling requirements of those communities that are represented by the Particle Physics Advisory Panel, Nuclear Physics Advisory Panel, Particle Astrophysics Advisory Panel, Astronomy Advisory Panel and the Solar System Science Advisory Panel.
Theoretical research in Particle Physics, Particle Astrophysics, Nuclear Physics, Astrophysics, Solar System and Planetary Science are world leading and DiRAC-enabled research has been published in high-impact refereed journals; 160 articles in 2010, 381 in 2011 and 2012 and over 250 papers produced in 2013 (see our publications list in our annual reports along with Science highlights at http://www.dirac.ac.uk/science.html ).
The STFC DIRAC High Performance Computing Facility supports the simulation and modelling requirements of those communities that are represented by the Particle Physics Advisory Panel, Nuclear Physics Advisory Panel, Particle Astrophysics Advisory Panel, Astronomy Advisory Panel and the Solar System Science Advisory Panel.
Theoretical research in Particle Physics, Particle Astrophysics, Nuclear Physics, Astrophysics, Solar System and Planetary Science are world leading and DiRAC-enabled research has been published in high-impact refereed journals; 160 articles in 2010, 381 in 2011 and 2012 and over 250 papers produced in 2013 (see our publications list in our annual reports along with Science highlights at http://www.dirac.ac.uk/science.html ).
Planned Impact
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.
The DiRAC Facility is designed to enable breakthrough science in the areas of lattice quantum chromodynamics, hadron physics, beyond the standard model physics, black hole Physics, whole system modelling of stars, solar systems, galaxies, the local universe and large scale structures; the early Universe and its evolution, cosmology and the nature of dark energy and dark matter, the formation and evolution of stars and planets and larger structures, and the chemistry of the Cosmos.
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.
The DiRAC Facility is designed to enable breakthrough science in the areas of lattice quantum chromodynamics, hadron physics, beyond the standard model physics, black hole Physics, whole system modelling of stars, solar systems, galaxies, the local universe and large scale structures; the early Universe and its evolution, cosmology and the nature of dark energy and dark matter, the formation and evolution of stars and planets and larger structures, and the chemistry of the Cosmos.
Publications
Wijers N
(2020)
The warm-hot circumgalactic medium around EAGLE-simulation galaxies and its detection prospects with X-ray and UV line absorption
in Monthly Notices of the Royal Astronomical Society
Tress R
(2020)
Simulations of the Milky Way's central molecular zone - I. Gas dynamics
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
Baugh C
(2022)
Modelling emission lines in star-forming galaxies
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
Kong S
(2022)
Filament formation via collision-induced magnetic reconnection - formation of a star cluster
in Monthly Notices of the Royal Astronomical Society
Grove C
(2022)
The DESI N -body simulation project - I. Testing the robustness of simulations for the DESI dark time survey
in Monthly Notices of the Royal Astronomical Society
Falle S
(2020)
Thermal instability revisited
in Monthly Notices of the Royal Astronomical Society
Gaikwad P
(2020)
Probing the thermal state of the intergalactic medium at z > 5 with the transmission spikes in high-resolution Ly a forest spectra
in Monthly Notices of the Royal Astronomical Society
Pfeffer J
(2020)
Predicting accreted satellite galaxy masses and accretion redshifts based on globular cluster orbits in the E-MOSAICS simulations
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
De Belsunce R
(2022)
Testing for spectral index variations in polarized CMB foregrounds
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
Genina A
(2020)
To ß or not to ß: can higher order Jeans analysis break the mass-anisotropy degeneracy in simulated dwarfs?
in Monthly Notices of the Royal Astronomical Society
McAlpine S
(2019)
The nature of submillimetre and highly star-forming galaxies in the EAGLE simulation
in Monthly Notices of the Royal Astronomical Society
Brown S
(2020)
Connecting the structure of dark matter haloes to the primordial power spectrum
in Monthly Notices of the Royal Astronomical Society
Iyer K
(2020)
The diversity and variability of star formation histories in models of galaxy evolution
in Monthly Notices of the Royal Astronomical Society
Duguid C
(2020)
Convective turbulent viscosity acting on equilibrium tidal flows: new frequency scaling of the effective viscosity
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
Ramírez-Galeano L
(2022)
Why most molecular clouds are gravitationally dominated
in Monthly Notices of the Royal Astronomical Society
Arnold C
(2022)
forge : the f ( R )-gravity cosmic emulator project - I. Introduction and matter power spectrum emulator
in Monthly Notices of the Royal Astronomical Society
Ruan C
(2022)
Towards an accurate model of small-scale redshift-space distortions in modified gravity
in Monthly Notices of the Royal Astronomical Society
Bennett J
(2020)
Resolving shocks and filaments in galaxy formation simulations: effects on gas properties and star formation in the circumgalactic medium
in Monthly Notices of the Royal Astronomical Society
Porth L
(2020)
Fast estimation of aperture mass statistics - I. Aperture mass variance and an application to the CFHTLenS data
in Monthly Notices of the Royal Astronomical Society
Power C
(2019)
nIFTy galaxy cluster simulations VI: the dynamical imprint of substructure on gaseous cluster outskirts.
in Monthly Notices of the Royal Astronomical Society
Kirchschlager F
(2023)
Dust survival rates in clumps passing through the Cas A reverse shock - II. The impact of magnetic fields
in Monthly Notices of the Royal Astronomical Society
Cataldi P
(2022)
Fingerprints of modified gravity on galaxies in voids
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
Mitchell P
(2020)
Galactic outflow rates in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Naik A
(2019)
Constraints on chameleon f(R)-gravity from galaxy rotation curves of the SPARC sample
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
Shao S
(2019)
Screening maps of the local Universe I - Methodology
in Monthly Notices of the Royal Astronomical Society
Duguid C
(2019)
Tidal flows with convection: frequency-dependence of the effective viscosity and evidence for anti-dissipation
in Monthly Notices of the Royal Astronomical Society
Kruijssen J
(2020)
Kraken reveals itself - the merger history of the Milky Way reconstructed with the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Cummins D
(2022)
Extreme pebble accretion in ringed protoplanetary discs
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
Gonzalez-Perez V
(2020)
Do model emission line galaxies live in filaments at z ~ 1?
in Monthly Notices of the Royal Astronomical Society
Lovell M
(2019)
The signal of decaying dark matter with hydrodynamical simulations
in Monthly Notices of the Royal Astronomical Society
Dalla Vecchia C
(2020)
Constraining the inner density slope of massive galaxy clusters
in Monthly Notices of the Royal Astronomical Society
Baugh C
(2020)
Sensitivity analysis of a galaxy formation model
in Monthly Notices of the Royal Astronomical Society
Brown S
(2022)
Towards a universal model for the density profiles of dark matter haloes
in Monthly Notices of the Royal Astronomical Society
Rieder S
(2022)
The formation and early evolution of embedded star clusters in spiral galaxies
in Monthly Notices of the Royal Astronomical Society
Beraldo e Silva L
(2020)
Geometric properties of galactic discs with clumpy episodes
in Monthly Notices of the Royal Astronomical Society
Young A
(2022)
Characteristics of small protoplanetary disc warps in kinematic observations
in Monthly Notices of the Royal Astronomical Society
Smith R
(2020)
The Cloud Factory I: Generating resolved filamentary molecular clouds from galactic-scale forces
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
Trayford J
(2019)
The star formation rate and stellar content contributions of morphological components in the EAGLE simulations
in Monthly Notices of the Royal Astronomical Society
Du Buisson L
(2020)
Cosmic rates of black hole mergers and pair-instability supernovae from chemically homogeneous binary evolution
in Monthly Notices of the Royal Astronomical Society
Grebel E
(2020)
The mass fraction of halo stars contributed by the disruption of globular clusters in the E-MOSAICS simulations
in Monthly Notices of the Royal Astronomical Society
Wurster J
(2020)
Non-ideal magnetohydrodynamics versus turbulence II: Which is the dominant process in stellar core formation?
in Monthly Notices of the Royal Astronomical Society
Description | We support all of PPAN science. The main highlights have been the modelling of the first Gravitaitonal Waves (the discovery of which won the 2017 Nobel Prize for Physics), the accurate properties of the B quark, and the most detailed models of Galaxy formation bythe VIRGO consortium |
Exploitation Route | They have opened up new areasin Physics, particularly gravitational waves, calculating particle properties to be measured by the LHC and the use of baryonic physics in comsological models. Our advances in software and hardware design are applicable to all fields of study and commerce. a growing list of technology companies (ARM, Dell, HPE, IBM, Intel, Mellanox, Nvidia). We have appointed an Innovation Director (Dr. Jeremy Yates) and used the 2017/18 BEIS capital investment to kick-start new strategic industrial collaborations. DiRAC's innovation strategy is aligned with the UK Industrial Strategy white paper. In particular, our strategy aims to: 1. Enhance engagement with industry around the challenges of machine learning and data intensive science. 2. Enhance engagement with broader Industry, the Hartree Centre, and other sectors on the exploitation and use of new technologies and of DiRAC computational resources. 3. Expand innovation programmes with industry partner(s) at all sites, including both component-level and system-level co-design and optimisation. 4. Further expand our comprehensive, in-house HPC skills training portfolio by working with industry partners and the eight STFC Centres for Doctoral Training in Data Intensive Science , thereby enhancing HPC skills training across the UK and increasing the net out-flow of upskilled workers into the UK economy. 5. Expand engagement with industrial partners on software engineering work for particle physics, astronomy and general HPC codes. 6. Increase industrial income and explore potential options for innovative business models to support the recurrent costs of services. |
Sectors | Digital/Communication/Information Technologies (including Software) |
URL | http://www.dirac.ac.uk |
Description | DiRAC has set up three Intel parallel computing centres which are being used to drive system design for heterogeneous architectures with SGI, writing maths libraries for intel and writing fine grained parallel task management libraries for intel. The work with SGI won an award at the SC15 for Best use of High Performance Data Analytics..• 4 EPSRC iCASE studentships co-funded by Intel/HP (Leicester), Intel/Cray (UCL), Intel/SGI (Cambridge), Intel/Lenovo (Durham); all in areas of advanced software design for new technologies. • DiRAC has secured 2 four-year PhD studentships with Mellanox/UCL and Lenovo/UCL in the areas of advanced cluster switch design and high volume and velocity machine learning, respectively. • DiRAC's Chief Technical Officer (CTO), Professor Peter Boyle, is the Co-Design leader for the Intel-Alan Turing Institute (ATI) Many Core Architecture Design team based in Edinburgh (one of only three teams worldwide). DiRAC's expertise provides the foundation upon which the ATI secured this unique international partnership with Intel's HPC architecture group, which has placed five hardware architects in Edinburgh, with Professor Boyle appointed both an Alan Turing Fellow and Co-Design Leader for the ATI. The two hardware architects hired by Intel to work with the ATI were two former DiRAC Research Software Engineers.• 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. • Innovate UK - DiRAC was invited to join an InnovateUK bid entitled "High Performance Cloud for Artificial Intelligence (HiPerCloud-AI)" with StackHPC, Concertim Infrastructure Management, VScaler and Intelligent Voice. The bid, submitted in response to the "Emerging and Enabling" call for proposals in November 2017, focussed on work aimed at the elimination of the disablingly large latency caused by Cloud Operating Systems when parallel codes are run on cloud-operated clusters. If successful, it will give the UK practical experience in building, deploying and running weakly and strongly parallel applications on cloud platforms.The £9M DiRAC-2.5x intervention alone generated more than £1.5M of inward investment in addition to significant vendor discounts. These investments include: • Installation of an ARM-based cluster at the University of Leicester as a co-design project to increase the value of ARM technology in HPC (value: approx. £1M); • Support for co-design work with Intel at Edinburgh (value: approx. £0.25M per annum); • Co-funding for DiRAC Technical Manager position at Edinburgh (value: £45k); • Co-funding for a DiRAC Research Software Engineer at Leicester (value: £45k); • Support for co-design projects in flash technologies to accelerate storage access (Cambridge/Dell), flash technologies to allow simulation check-pointing (Durham/Dell), Authentication, Authorisation & Accounting Infrastructure (Edinburgh/HPE), Hierarchical Storage Management (Leicester/HPE); • Support for skills training workshops for DiRAC users and technical support staff. |
First Year Of Impact | 2016 |
Sector | Digital/Communication/Information Technologies (including Software) |
Impact Types | Economic |
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 | AAAI for the UK NeI |
Organisation | Jisc |
Country | United Kingdom |
Sector | Public |
PI Contribution | PI of RCUK pilot project for AAAI |
Collaborator Contribution | Software development and testing at 8 UK HEIs and ROs |
Impact | SAFE+ASSET AAAI service |
Start Year | 2016 |
Description | DiRAC Intel Parallel Computing Centres |
Organisation | Intel Corporation |
Department | INTEL Research |
Country | United States |
Sector | Private |
PI Contribution | Organised dicussions which lead to the setting up of 3 INTEL Parallel Computing Centres, at Durham, Edinburgh and Cambridge. Co-ordinated bids and held pre-application discussions with INTEL and the three HEIs to ensure INTEL buy-in to the proposed projects |
Collaborator Contribution | Awards of £450k to fund 3 programmers for 2 years to i) build maths libraries for the KNL processor, (ii) build fine grain parallel job management libraries to mitigate the load balancing issue for weak balancing codes and (iii) develop heterogeneous architectures for data intensive problems |
Impact | multi-disciplinary In progress |
Start Year | 2014 |
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 |
Title | Collaboration with Atempo |
Description | Tape to Tape data transfter between DiRAC sites. |
Type Of Technology | Software |
Year Produced | 2019 |
Open Source License? | Yes |
Impact | Proof of COncept that data could be read from Tape stores remotely via a remote file system |
Description | Member of UKRI E-Infrastructure Expert Panel 2017-2019 |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Created 7 white papers for UKRI which detailed a Roadmap for future e-Infrastructure funding in the UK |
Year(s) Of Engagement Activity | 2017,2018,2019 |
Description | NeI Project Directors Group |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Policymakers/politicians |
Results and Impact | Reports on AAAI, Data E-Infrastructure, Using Cloud for Research The National NeI Survey 2014, 2015, 2016 Report on Gender in HPC BEIS e-Infrastructure Business Case Integration activities of the NeI |
Year(s) Of Engagement Activity | 2014,2015,2016,2017 |
URL | https://neipdg.ac.uk/ |