Edinburgh DiRAC Resource Grant

Lead Research Organisation: University of Edinburgh
Department Name: Sch of Physics and Astronomy

Abstract

DiRAC (Distributed Research utilising Advanced Computing) is the integrated supercomputing facility for theoretical modelling and HPC-based research in particle physics, nuclear physics, astronomy and cosmology, areas in which the UK is world-leading. It was funded as a result of investment of £12.32 million, from the Government's Large Facilities Capital Fund, together with investment from STFC and from universities. In 2012, the DiRAC facility was upgraded with a further £15 million capital investment from government (DiRAC-2).

The DiRAC facility provides a variety of computer architectures, matching machine architecture to the algorithm design and requirements of the research problems to be solved. The science facilitated includes: using supercomputers to enable scientists to calculate what theories of the early universe predict and to test them against observations of the present universe; undertaking lattice field theory calculations whose primary aim is to increase the predictive power of the Standard Model of elementary particle interactions through numerical simulation of Quantum Chromodynamics; carrying out state-of-the-art cosmological simulations, including the large-scale distribution of dark matter, the formation of dark matter haloes, the formation and evolution of galaxies and clusters, the physics of the intergalactic medium and the properties of the intracluster gas.

This grant is to support the continued operation of the DiRAC facilities until 2017 to ensure that the UK remains one of the world-leaders of theoretical modelling in particle physics, astronomy and cosmology.

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.

Publications

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Guandalin C (2021) Observing relativistic features in large-scale structure surveys - I. Multipoles of the power spectrum in Monthly Notices of the Royal Astronomical Society

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Bourne M (2021) AGN jet feedback on a moving mesh: gentle cluster heating by weak shocks and lobe disruption in Monthly Notices of the Royal Astronomical Society

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Forouhar Moreno V (2022) Galactic satellite systems in CDM, WDM and SIDM in Monthly Notices of the Royal Astronomical Society

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Koudmani S (2021) A little FABLE: exploring AGN feedback in dwarf galaxies with cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Quinn J (2022) Flute and kink instabilities in a dynamically twisted flux tube with anisotropic plasma viscosity in Monthly Notices of the Royal Astronomical Society

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Haworth T (2020) The observational anatomy of externally photoevaporating planet-forming discs - I. Atomic carbon in Monthly Notices of the Royal Astronomical Society

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Cataldi P (2022) Fingerprints of modified gravity on galaxies in voids in Monthly Notices of the Royal Astronomical Society

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Haidar H (2022) The black hole population in low-mass galaxies in large-scale cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Cooke R (2020) The ACCELERATION programme: I. Cosmology with the redshift drift in Monthly Notices of the Royal Astronomical Society

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Mukherjee S (2021) SEAGLE - II. Constraints on feedback models in galaxy formation from massive early-type strong-lens galaxies in Monthly Notices of the Royal Astronomical Society

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Bastian N (2020) The globular cluster system mass-halo mass relation in the E-MOSAICS simulations in Monthly Notices of the Royal Astronomical Society

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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

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Cuesta-Lazaro C (2020) Towards a non-Gaussian model of redshift space distortions in Monthly Notices of the Royal Astronomical Society

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Suarez T (2021) Modelling intergalactic low ionization metal absorption line systems near the epoch of reionization in Monthly Notices of the Royal Astronomical Society

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Wright S (2022) Non-local thermal equilibrium spectra of atmospheric molecules for exoplanets in Monthly Notices of the Royal Astronomical Society

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Wang Y (2020) Iterative removal of redshift-space distortions from galaxy clustering in Monthly Notices of the Royal Astronomical Society

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Dalla Vecchia C (2020) Constraining the inner density slope of massive galaxy clusters in Monthly Notices of the Royal Astronomical Society

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Owens A (2022) ExoMol line lists - XLVII. Rovibronic molecular line list of the calcium monohydroxide radical (CaOH) in Monthly Notices of the Royal Astronomical Society

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Font A (2022) Quenching of satellite galaxies of Milky Way analogues: reconciling theory and observations in Monthly Notices of the Royal Astronomical Society

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Soussana A (2020) The impact of AGN feedback on galaxy intrinsic alignments in the Horizon simulations in Monthly Notices of the Royal Astronomical Society

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Fossati M (2021) MUSE analysis of gas around galaxies (MAGG) - III. The gas and galaxy environment of z = 3-4.5 quasars in Monthly Notices of the Royal Astronomical Society

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Davé R (2020) Galaxy cold gas contents in modern cosmological hydrodynamic simulations in Monthly Notices of the Royal Astronomical Society

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Ali A (2022) Stellar winds and photoionization in a spiral arm in Monthly Notices of the Royal Astronomical Society

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Bartlett D (2021) Spatially offset black holes in the Horizon-AGN simulation and comparison to observations in Monthly Notices of the Royal Astronomical Society

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Shao S (2021) The twisted dark matter halo of the Milky Way in Monthly Notices of the Royal Astronomical Society

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Schirra A (2021) Bringing faint active galactic nuclei (AGNs) to light: a view from large-scale cosmological simulations in Monthly Notices of the Royal Astronomical Society

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Bate M (2020) Photoionizing feedback in spiral arm molecular clouds in Monthly Notices of the Royal Astronomical Society

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Matsumoto J (2021) Magnetic inhibition of the recollimation instability in relativistic jets in Monthly Notices of the Royal Astronomical Society

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Hou J (2021) How well is angular momentum accretion modelled in semi-analytic galaxy formation models? in Monthly Notices of the Royal Astronomical Society

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Jackson R (2021) The origin of low-surface-brightness galaxies in the dwarf regime in Monthly Notices of the Royal Astronomical Society

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Khachaturyants T (2021) How stars formed in warps settle into (and contaminate) thick discs in Monthly Notices of the Royal Astronomical Society

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Christiansen J (2020) Jet feedback and the photon underproduction crisis in simba in Monthly Notices of the Royal Astronomical Society

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Prole L (2022) Primordial magnetic fields in Population III star formation: a magnetized resolution study in Monthly Notices of the Royal Astronomical Society

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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

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Davies C (2021) Optimal void finders in weak lensing maps in Monthly Notices of the Royal Astronomical Society

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Beraldo e Silva L (2021) Co-formation of the thin and thick discs revealed by APOGEE-DR16 and Gaia -DR2 in Monthly Notices of the Royal Astronomical Society

 
Description In December 2009, the STFC Facility, DiRAC, was established to provide distributed High Performance Computing (HPC) services for theoretical modelling and HPC-based research in particle physics, astronomy and cosmology. DiRAC provides a variety of computer architectures, matching machine architecture to the algorithm design and requirements of the research problems to be solved. This grant funds the continued operation of the 1.3Pflop/s Blue Gene/Q system at the University of Edinburgh, which was co-developed by Peter Boyle (University of Edinburgh) and IBM to run with high energy efficiency for months at a time on a single problem to solve some of the most complex problems in physics, particularly the strong interactions of quarks and gluons. The DiRAC Facility supports over 250 active researchers at 27 UK HEIs. This includes the research projects of 100 funded research staff (PDRAs and Research Fellows), over 50 post-graduate projects, and £1.6M of funded research grants.
Exploitation Route Theoretical results obtained input to a range of experimental programmes aiming to increase our understanding of Nature. Algorithms and software developed provide input to computer design.
Sectors Digital/Communication/Information Technologies (including Software)

URL http://dirac.ac.uk/
 
Description Intel IPAG QCD codesign project 
Organisation Intel Corporation
Department Intel Corporation (Jones Farm)
Country United States 
Sector Private 
PI Contribution We have collaborated with Intel corporation since 2014 with $720k of total direct funding, starting initially as an Intel parallel computing centre, and expanding to direct close collaboration with Intel Pathfinding and Architecture Group.
Collaborator Contribution We have performed detailed optimisation of QCD codes (Wilson, Domain Wall, Staggered) on Intel many core architectures. We have investigated the memory system and interconnect performance, particularly on Intel's latest interconnect hardware called Omnipath. We found serious performance issues and worked with Intel to plan a solution and this has been verified and is available as beta software. It will reach general availability in the Intel MPI 2019 release, and allow threaded concurrent communications in MPI for the first time. A joint paper on the resolution to this was written with the Intel MPI team, and the application of the same QCD programming techniques to machine learning gradient reduction was applied in the paper to the Baidu Research all reduce library, demonstrating a 10x gain for this critical step in machine learning in clustered environments. We are also working with Intel verifying future architectures that will deliver the exascale performance in 2021.
Impact We have performed detailed optimisation of QCD codes (Wilson, Domain Wall, Staggered) on Intel many core architectures. We have investigated the memory system and interconnect performance, particularly on Intel's latest interconnect hardware called Omnipath. We found serious performance issues and worked with Intel to plan a solution and this has been verified and is available as beta software. It will reach general availability in the Intel MPI 2019 release, and allow threaded concurrent communications in MPI for the first time. A joint paper on the resolution to this was written with the Intel MPI team, and the application of the same QCD programming techniques to machine learning gradient reduction was applied in the paper to the Baidu Research all reduce library, demonstrating a 10x gain for this critical step in machine learning in clustered environments. This collaboration has been renewed annually in 2018, 2019, 2020. Two DiRAC RSE's were hired by Intel to work on the Turing collaboration.
Start Year 2016