Log in
The High Performance Computing (HPC) application code HELIUM, developed at Queen's University Belfast to assist the development of attosecond technology, has impacted on the provision of public services through guiding procurement and acceptance testing of the high-performance computer facility HECToR. This facility was funded by UK Government with a total expenditure of £113M during 2007 - 2013. The HELIUM code was used for procurement and acceptance testing for the initial HECToR service in 2007 (Phase 1, 11k cores), and its upgrades in 2009 (Phase 2a, 22k cores), 2010 (Phase 2b, 44k cores) and 2011 (Phase 3, 90k cores). The HELIUM code was particularly invaluable in demonstrating that the Phase 2b and Phase 3 systems perform correctly at pre-agreed performance levels, since this code can be adapted to run for several hours over >80k cores.
A two-dimensional flood inundation model called LISFLOOD-FP, which was created by a team led by Professor Paul Bates at the University of Bristol, has served as a blueprint for the flood risk management industry in the UK and many other countries. The documentation and published research for the original model, developed in 1999, and the subsequent improvements made in over a decade of research, have been integrated into clones of LISFLOOD-FP that have been produced by numerous risk management consultancies. This has not only saved commercial code developers' time but also improved the predictive capability of models used in a multimillion pound global industry that affects tens of millions of people annually. Between 2008 and 2013, clones of LISFLOOD-FP have been used to: i) develop national flood risk products for countries around the world; ii) facilitate the pricing of flood re-insurance contracts in a number of territories worldwide; and iii) undertake numerous individual flood inundation mapping studies in the UK and overseas. In the UK alone, risk assessments from LISFLOOD-FP clones are used in the Environment Agency's Flood Map (accessed on average 300,000 times a month by 50,000 unique browsers), in every property legal search, in every planning application assessment and in the pricing of the majority of flood re-insurance contracts. This has led to more informed and, hence, better flood risk management. A shareware version of the code has been available on the University of Bristol website since December 2010. As of September 2013, the shareware had received over 312 unique downloads from 54 different countries.
As a result of collaborative commissioned research, the lead developers of a major atmospheric research and operational weather forecasting model have changed their approach to quality assuring model source code. Drawing directly on the research findings, the lead developer has taken the decision to adopt a new approach to the correction of inconsistencies and inefficiencies in source code and to alter the software build procedure to be followed by a large model development community. An additional impact, in the form of improved business competiveness, is felt by a British software and consultancy company, which has been able to enhance a key tool used in their quality assurance and platform migration work with a global client base.
Graph-theoretic and mathematically rigorous algorithmic methods developed at the University of Hertfordshire have improved the applicability of compiler technology and parallel processing. A compiler developed in the course of a ten-year research programme at the university has been successfully applied to a number of commercial problems by re-purposing the research tool. NAG Ltd has adapted the tool into a commercial product [text removed for publication]. Numerous applications of the mathematical methods (such as type-flow graphs used conjointly for correctness and optimisation) have been deployed by industry (including SAP, SCCH, German Waterways Board) working closely with the university.
Cranfield's understanding and modelling of aircraft icing, a critical part of the safety, operation and design protocols for all types of aircraft, has changed the way in which aerospace companies approach the design of new aircraft. Cranfield's research has produced high quality predictive software and an extensive experimental validation database the impact of which is its use in the design, optimisation and certification of aircraft and their components.
The impact of Cranfield's icing research is in the design processes for:
Effective industrial design and simulation require efficient and versatile computing systems. As a result of research performed by our team experienced in High Performance Computing (HPC), novel software structures and aligned hardware architectures have led to significant benefits to the energy supply industry and to microprocessor manufacturers.
As a result of our research with supercomputing, simulation times for electric field patterns in power components have reduced more than 30-fold, with accurate complex 3-D outputs for an increased range of configurations, thereby enabling our partner company to achieve results not possible with commercial software and to reduce product development costs by $0.5M - $5M p.a.
Our research has been incorporated by Intel into their numerical libraries and now made available to the general public supported by their latest processor architectures. Intel now has a 82% share of processors, according to the November 2013 Top500 list.
Spatial decomposition methods have been extended to apply to spatial, scale, and temporal domains as a result of work at the Numerical and Applied Mathematics Research Unit (NAMU) at the University of Greenwich. This work has led to a numerical framework for tackling many nonlinear problems which have been key bottlenecks in software design and scientific computing. The work has benefitted the welding industry in the UK because these concepts are now embedded, with parallel computing, in the industry's modern welding design process software.
Computational Dynamics Ltd, partnering with adapco and trading as CD-adapco www.cd-adapco.com is the world's largest independent CFD-focused provider of engineering simulation software, with major products STAR-CD and STAR-CCM+. It was formed by Professor David Gosman and Dr Raad Issa and its turnover has grown more than 30 fold since 1993 and by over 250% since 2008 to currently ~ $190M pa. It employs around 750 staff, of whom roughly 80 are located in the London office. The company won a Queen's Award for Exports in 1997. Key technologies that underpin this growth were developed since 1993 in the Mechanical Engineering department at Imperial College. CD-adapco has over 7000 users of its software, working at 3000 different companies. It makes a major contribution in maintaining the competiveness of UK industry via improved understanding and design and lower costs through the reduced need to undertake expensive experimental studies.
Ocean circulation accounts for much of the energy that drives weather and climate systems; errors in the representation of the ocean circulation in computational models affect the validity of forecasts of the dynamics of the ocean and atmosphere on daily, seasonal and decadal time scales. Research undertaken by the University of Reading investigated systematic model errors that resulted from data assimilation schemes embedded in the key processes used to predict ocean circulation. The researchers developed a new bias correction technique for use in ocean data assimilation that alleviates these errors. This has led to significant improvements in the accuracy of the forecasts of ocean dynamics. The technique has been implemented by the Met Office and by the European Centre for Medium Range Weather Forecasting (ECMWF) in their forecasting systems, resulting in major improvements to the prediction of the weather and climate from oceanic and atmospheric models. The assimilation technique is also leading to better use of expensively acquired satellite and in-situ data and improving ocean and atmosphere forecasts used by shipping and civil aviation, energy providers, insurance companies, the agriculture and fishing communities, food suppliers and the general public. The impact of the correction procedure is also important for anticipating and mitigating hazardous weather conditions and the effects of long-term climate change.
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.