Research Subject Area: Mathematical Sciences

REF impact found 404 Case Studies

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A benchmark tool for high performance computing

Summary of the impact

This case study describes the development, application and commercialisation of an open source tool, BSMBench that enables supercomputer vendors and computing centres to benchmark their system's performance. It comprehensively informs the design and testing of new computing architectures well beyond other benchmarking tools on the market, such as Linpack.

The significance of our code is that, unlike other benchmarking tools, it interpolates from a communication- to a computation-dominated regime simply by varying the (physics) parameters in the code, thus providing a perfect benchmark suite to test the response of modern multi-CPU systems along this axis. The impact of this work has great reach: a start-up company, BSMbench Ltd, has been founded to develop and commercialise the software; adopters have included IBM - one of the giants of the supercomputer world (where it uncovered errors in their compilers); it has been deployed by Fujitsu to validate its systems, by HPC Wales, a multi-site, commercially focussed national computer centre and by Transtec, an HPC company employing over 150 staff; and tutorial articles about BSMBench have appeared in magazines such as Linux Format.

This software tool spawned from our research into "Beyond the Standard Model" (BSM) physics which aims to understand the Higgs mechanism in particle physics at a fundamental level. This involved simulating quantum field theories using bespoke code on some of the fastest supercomputers on the planet.

Submitting Institution

Swansea University

Unit of Assessment

Physics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Pure Mathematics
Information and Computing Sciences: Computation Theory and Mathematics

Accelerating structural biology with Phaser crystallographic software-Read

Summary of the impact

Knowledge of the three-dimensional structures of macromolecules is a prerequisite for understanding their function at the atomic level, an essential component of modern drug development. Most structures are determined by X-ray crystallography: the majority using molecular replacement (MR, which exploits known structures of related proteins), and about half of the remainder using single-wavelength anomalous diffraction (SAD). The Phaser crystallographic software, developed by Read and colleagues, implements powerful new likelihood-based methods for MR and SAD phasing and has made a large impact, accelerating over the period 2008-2013. At the pharma giant, AstraZeneca, Phaser is considered the "tool of choice" for solving structures by MR.

Submitting Institution

University of Cambridge

Unit of Assessment

Clinical Medicine

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Technology: Computer Hardware

Accurately dating the past – OxCal: free software for the calibration of radiocarbon dates

Summary of the impact

OxCal is the most popular software package world-wide for calibrating and analysing dates within the carbon dating process, enabling the accurate dating of objects from the past. The brainchild of Prof. Christopher Bronk Ramsey, Director of the Oxford Radiocarbon Accelerator Unit (ORAU), OxCal is based on chronologies refined by the use of Bayesian statistical methods, and provides users with access to high-quality calibration of chronological data, now the basis for global chronologies. It is available online and free to download, and has played a highly significant role in establishing the ORAU as one of the pre-eminent international radiocarbon dating facilities. Funded by the NERC, and used widely within professional archaeology as well as other disciplines, OxCal has also played a key role in research projects (within Oxford and beyond) brought to the attention of the general public by the media.

Submitting Institution

University of Oxford

Unit of Assessment

Geography, Environmental Studies and Archaeology

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Earth Sciences: Geology
History and Archaeology: Archaeology

Accurate statistical methods for detecting the source of human campylobacteriosis cases in New Zealand leads to an annual reduction of around 90,000 cases per year.

Summary of the impact

Research at Lancaster led to a novel approach to detect the source of cases of campylobacteriosis (a bacterial foodborne disease). The application of this method to data from New Zealand pin- pointed that New-Zealand's high rate of cases was linked to the eating of contaminated poultry. These results were a key part of the evidence used by New Zealand's Food Safety Authority to introduce a new code of practice for the poultry industry. The impact of this code of practice has been a halving of the number of reported cases of campylobacteriosis in New Zealand (from around 16,000 cases in 2006 to less than 7,000 in 2008). With notification rates estimated as 1 in 10, this corresponds to around 90,000 fewer actual cases per year. The saving for the New Zealand economy during the REF census period has been independently estimated as between £100M and £150M.

Submitting Institution

Lancaster University

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Political

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics

2. Achieving Greener Building Services in Practice for Europe

Summary of the impact

The work described here has impacted on European policy and standards concerning energy efficiency in Building Services.

The impact arises from two Welsh School of Architecture led and European Commission funded projects, HARMONAC (focussed on inspection of air-conditioning systems) and iSERV (focussed on automatic system monitoring and feedback). These pan-European projects demonstrate achieved energy savings of up to 33% of total building electricity use in individual buildings, and potential savings up to €60Bn. These projects demonstrably impacted the recast European Energy Performance of Buildings Directive (EPBD) and the revision of EU Standards (European Committee for Standardisation (CEN)).

Submitting Institution

Cardiff University

Unit of Assessment

Architecture, Built Environment and Planning

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Built Environment and Design: Architecture, Building

Speech technology

Summary of the impact

Nearly every large-vocabulary speech recognition system in current use employs outputs from fundamental research carried out in the University of Cambridge Department of Engineering (DoEng) on adaptation of Hidden Markov Models (HMMs). One example of the commercial application of these outputs is their use on the Microsoft Windows desktop for both the command and control functions and the dictation functions. Approximately one billion copies of Windows have been shipped since 2008. Other examples show the outputs used in the automatic transcription of a wide range of types of data. [text removed for publication]

Submitting Institution

University of Cambridge

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics
Psychology and Cognitive Sciences: Cognitive Sciences

UOA10-02: Adjoint sensitivities in computational finance bring orders-of-magnitude runtime improvements

Summary of the impact

The largest investment banks in London each have thousands of servers largely devoted to Monte Carlo simulations, and to quantify their risks and satisfy regulatory demands they need to be able to calculate huge numbers of sensitivities (defined below) known collectively as "Greeks". An adjoint technique developed by Professor Mike Giles in 2006 greatly reduced the computational complexity of these calculations. The technique is used extensively by Credit Suisse and other major banks, reducing their computing costs and energy consumption. It has also led to the Numerical Algorithms Group developing new software to support the banks in exploiting this new adjoint approach to computing sensitivities.

Submitting Institution

University of Oxford

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Econometrics
Commerce, Management, Tourism and Services: Banking, Finance and Investment

Advanced fluid flow modelling improves the efficiency of industrial burners

Summary of the impact

Using advanced mathematics and numerical modelling we have demonstrated how fundamental understanding of laminar-turbulent transitions in fluid flows can save energy. From 2008 we helped the cleantech company, Maxsys Fuel Systems Ltd, to understand and improve their technology and demonstrate to customers how it can reduce fuel use by 5-8%. Customers including Ford Motor, Dow Chemical and Findus testify to the impact from financial savings and reduced carbon emissions obtained by installing Maxsys products on industrial burners used widely in many industrial sectors including automotive, bulk chemicals and food. In 2010, Selas Heat Technology Company bought the Maxsys brand to invest in this success.

Submitting Institution

Aston University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Engineering: Interdisciplinary Engineering

Advanced simulation technology to optimise the recovery of high value metals through heap leaching

Summary of the impact

This case study describes the creation and use of advanced simulation technology by international mining corporations to optimise high value metal recovery. The technology involved the development of advanced novel computational methods and software tools to model industrial scale heap leach processes for large scale industrial application at major mining operations. This focus on the development of optimised operational strategies has produced considerable economic benefits measured in the $multi-millions to industrial sponsors, including $58 million dollars in additional revenue for one multi-national corporation over one year following the adoption of engineered heaps based upon the advanced simulation tools from Swansea.

Submitting Institution

Swansea University

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Computation Theory and Mathematics
Engineering: Resources Engineering and Extractive Metallurgy

Agility Strategies and Supply Network Optimisation

Summary of the impact

Professor David Zhang's research into agility strategies and the analysis and optimisation of complex supply chain networks in the manufacturing sector has led to significant economic impact. Reductions have been made in inventory and cost of goods sold, amounting to an estimated £80M per annum for CIFUNSA, one of the world's largest engine block and head manufacturers. The entire senior management team has been trained in agility strategies and techniques at China's largest non-ferrous metals research and industry complex GRINM, leading to major corporate-level restructuring and growth. The senior management of solder-specialist COMPO has also been trained based on Zhang's research to help the company quadruple turnover in four years and become global market leader. Finally, these same strategy and analysis techniques have generated cost savings and performance improvements worth an estimated £375k for UK engineering solutions company J+S Ltd (http://www.jands.co.uk).

Submitting Institution

University of Exeter

Unit of Assessment

General Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics

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