Research Subject Area: Computation Theory and Mathematics

REF impact found 146 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

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

Agent-Oriented Software Engineering: The Gaia Methodology

Summary of the impact

This case is based on economic impact. It shows how research by Professor Michael Wooldridge at the University of Liverpool on the Gaia Methodology for agent-oriented software engineering improved the performance of the Swiss company Whitestein Technologies AG and of international users of its key product. Specifically, the research enabled Whitestein to develop its business process management system (BPM) Living Systems Process Suite which delivers several million pounds per year of revenues, corresponding to 50% of their total business revenues. Users of Whitestein's Living Systems Process Suite since 2008 include Daimler AG, Transcor Astra Group, Vienna Insurance Group, and the US Department of Veterans Affairs. In 2010 Gartner, the world's leading IT advisory company, recognized the impact and innovation of the Living Systems Process Suite by naming Whitestein a Cool Vendor in BPM.

Submitting Institution

University of Liverpool

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics, Computer Software, Information Systems

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

Applying the mathematics of evolving networks for more effective social media marketing

Summary of the impact

Researchers in the Centre for the Mathematics of Human Behaviour at the University of Reading have developed a novel approach for the real-time monitoring of evolving social networks. These networks, in which connections between individuals change over time, are an important opportunity for online advertising. The research has been used in collaboration with Bloom Media Ltd to develop a new tool that gives their clients a better understanding of the impacts of social media campaigns. As a result Bloom are leading the field in this area, allowing them to attract major new clients and leading to significant growth of the business. The company now directly employs highly skilled mathematics graduates specifically to work in this area.

Submitting Institution

University of Reading

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics, Information Systems

Automatic detection of defects in multi-threaded enterprise Java codebases

Summary of the impact

A spin-out company, Contemplate Ltd, is using advanced static analysis technology in global top-ten investment banks and other clients to discover previously undetected defects in enterprise-scale business-critical multi-threaded Java codebases. The impact is in terms of the benefits delivered to Contemplate's clients by this technology and in terms of the formation and growth of Contemplate as an employer and a successful business.

Submitting Institution

University of Edinburgh

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics, Computer Software, Information Systems

Benchmark Testing in High Performance Computing

Summary of the impact

High Performance Computing (HPC) is a key element in our research. The Particle Physics Group has accumulated expertise in the development and optimisation of coding paradigms for specific supercomputer hardware. Our codes are deployed on supercomputers around the world, producing high-profile research results. We have developed a simulation environment, BSMBench, that is, on the one hand, flexible enough to run on major supercomputer platforms and, on the other hand, pushes supercomputers to their limits. These codes are used by IBM and Fujitsu Siemens for benchmarking their large installations and mainframes. The third party company BSMBench Ltd has commercialised the usage of our codes for analysing and optimising HPC systems of small and medium-sized enterprises.

Submitting Institution

Plymouth University

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Physical Sciences: Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences
Information and Computing Sciences: Computation Theory and Mathematics

Better and faster guarantees of respondent privacy when releasing public statistics

Summary of the impact

Several National Statistics Agencies (NSAs) in Europe now use tools based on UWE research to ensure published tables are protected from hacking attempts to breach data privacy. Provision of high-quality data to policy and decision makers is so important that supplying it to NSAs is often mandatory for organisations and individuals. In return, NSAs, such as the UK's Office for National Statistics (ONS), must guarantee a degree of confidentiality. Our research has benefitted ONS, its clients and data providers, by exposing serious flaws in existing methodologies and techniques for protecting confidentiality and by creating tools for (i) auditing and (ii) protecting large complex tables.

Submitting Institution

University of the West of England, Bristol

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Numerical and Computational Mathematics
Information and Computing Sciences: Computation Theory and Mathematics

Bristol’s research into multiscale methods enables more realistic modelling of real world phenomena providing benefit to industry, government and society.

Summary of the impact

Wavelets and multiscale methods were introduced and rapidly became popular in scientific academic communities, particularly mathematical sciences, from the mid-1980s. Wavelets are important because they permit more realistic modelling of many real-world phenomena compared to previous techniques, as well as being fast and efficient. Bristol's research into wavelets started in 1993, has flourished and continues today. Multiscale methods are increasingly employed outside academia. Examples are given here of post-2008 impact in central banking, marketing, finance, R&D in manufacturing industry and commercial software, all originating from research at Bristol. Much of the impact has been generated from the original research via software. This software includes freeware, distributed via international online repositories, and major commercial software, such as Matlab (a preeminent numerical computing environment and programming language with over one million users worldwide).

Submitting Institution

University of Bristol

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Computation Theory and Mathematics
Economics: Econometrics

Case Study 6: Cost-effective simulation and prediction of explosions for military and public safety, and for improved oil extraction

Summary of the impact

The Leeds unit's MoD-funded research programme in hypervelocity impact dynamics has: saved the MoD two years in ballistic development and £1.5m-£2m in costs; guaranteed robustness and reliability of MoD computations; enabled the MoD to deliver advanced research output cost- effectively under severe budgetary pressures; continued to underpin a £4m annual income for the MoD's War Technology consultants QinetiQ; provided the MoD with a world-leading explosion- simulation capability. MoD codes underpinned by the Leeds research have, during the REF period, led to a reduction in front-line casualties of British Forces in Afghanistan and Iraq, and enabled government agencies to make quantifiable assessments of threats to transport and public-building infrastructure, e.g. in the planning of the 2012 Olympic Games. QinetiQ have used the codes with industry to develop a new explosive perforator for oil extraction that has: "halved the R&D process, time-to-market and cost of oil-well exploitation"; improved oil flows by 30-40% in tests undertaken by oil companies, and; yielded substantial (but confidential, see §4e) recurrent licensing royalties.

Submitting Institution

University of Leeds

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

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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