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Rolls-Royce uses the HYDRA computational fluid dynamics (CFD) code for the design of all of its new gas turbine engines. The HYDRA CFD package, including the mathematical theory behind it, was developed by Professor Mike Giles and his research team in the period 1998-2004 at the University of Oxford, and subsequently transferred to Rolls-Royce, forming the basis of the RR corporate CFD strategy with an investment of over 100 person years in development.
Since 2009, HYDRA has become the standard aerodynamic design tool across Rolls-Royce, and has been used to design Rolls-Royce's Trent 1000 engine and the newer Trent XWB. HYDRA has enabled Rolls-Royce to save over [text removed for publication] in test rig expenses, provides superior accuracy compared to its competitors such as FLUENT, and has contributed to increases in engine efficiency of up to [text removed for publication], which in turn has led to higher sales and increased revenue for Rolls-Royce.
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.
Research in quantum-mechanical methods, conducted at the School of Chemistry at Cardiff University, has resulted in the creation of an innovative software package called Molpro. Molpro provides the ability to calculate from first principles (ab initio) the properties of molecular matter. It is unique and differs from other quantum chemistry packages because, using local electron correlation methods, it significantly reduces the increase of the computational cost with molecular size. This means highly accurate computations can be performed for much larger molecules than with most other programs, and the screening of far wider libraries of potential new materials is enabled. Consequently, Molpro is extremely valuable to the global chemical and pharmaceutical industries and has been endorsed and applied by major international corporations that manufacture products that are used by a wide range of industries (including cosmetics, automotive and construction). Examples are BASF, Mitsubishi Chemical Group, Sasol and Nissan Chemical Industries.
The software is distributed under licence through Cardiff University and resellers, operating in China, Japan, Brazil, Taiwan, Russia, Poland and the USA. During the REF period, it has generated over £1.75M in revenue, and is used by over 650 organisations worldwide. Accordingly the impact claimed is extensive economic gain and impact on practitioners and professional services.
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.
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.
Embedded software in the transportation sector (railway, automotive and avionics) needs to meet high reliability requirements because errors may have severe consequences. Research since 2008 in the UoA has developed effective reasoning technology to provide assurance that key error types are eliminated from embedded software, and has created novel algorithms to prove its integrity. Major players such as [text removed for publication] GM and Airbus have used technology developed in the UoA to verify the absence of errors. A particular advantage of this technology is its ability to reason about floating-point arithmetic, meaning that a much wider class of properties can be verified. The technology is widely distributed via third party operating systems and tool-sets.
Professor Daugman's algorithms for automatically recognising persons by their iris patterns are the basis of all publically deployed iris recognition systems. Worldwide some 400 million people have been enrolled since 2004, nearly all during the impact period. Deployments have included automated international border-crossings in lieu of passport presentation; watchlist screening; access control; and detainee identification. The algorithms are also used in several national identity card schemes, including the Indian Aadhaar programme that, in 2010, began enrolling the iris patterns of all 1.2 billion Indian citizens to ensure fair access to entitlements. By the end of July 2013, 393 million Indian citizens had been enrolled in the programme, and each day a further million are enrolled across 36,000 stations nationwide.
Compiler research at Edinburgh over the last decade has had significant industrial and commercial impact. Early work on pointer conversion is now available in Intel's commercial compilers. Later ground-breaking work on machine-learning based compilation led to the release of MilePost GCC, an enhanced version of the world's widest-used open source compiler supported by IBM. More recent work on parallelism discovery and machine-learning mapping has led to a new ARM Centre of Excellence at Edinburgh.
In the last 20 years, reconfigurable technology has transformed High-Performance Computing and Embedded Systems Design. Research of the Custom Computing and Reconfigurable Systems groups at Imperial made pivotal contributions to this transformation, targeting particularly Field-Programmable Gate Array (FPGA) technology. Since 2008, the impact of this research has been to
In the last 20 years, reconfigurable technology has transformed High-Performance Computing and Embedded Systems Design. Research of the Custom Computing and Reconfigurable Systems teams at Imperial made pivotal contributions to this transformation, targeting particularly Field-Programmable Gate Array (FPGA) technology. Since 2008, the impact of this research has been to
I1) underpin design flow for partial run-time reconfigurable designs for Xilinx FPGA devices;
I2) contribute to the start-up company Maxeler, pioneering reconfigurable computing systems and cloud services for high-performance computing in the financial and other sectors;
I3) enable near real-time risk analysis for JP Morgan's global portfolio to analyse and manage risk much faster than previously possible;
I4) achieve about 250 times speedup for Chevron's seismic modelling for oil and gas exploration, compared to the alternative use of CPU-based machines;
I5) accelerate a financial market integrity platform for BlueBee and HL Steam in hardware.