Summary of the impact

The development of unique computer simulation tools has profoundly influenced the design and manufacture of silicon chips fuelling the $300 billion per year semiconductor industry. A pioneer of statistical variability research, Professor Asen Asenov developed understanding and awareness of statistical variability in the nanoscale transistors which make up all silicon chips. Gold Standard Simulations (GSS) was created in 2010 and by 2012-13 had grown revenue from services and licensing to $1million. GSS tools are currently used in foundries providing 75% of all semiconductor production for fabless design companies globally. For example, working with GSS and their simulation tools has reduced the development time for IBM's next generation of CMOS technology by 1 year, representing significant savings in the 3-5 year technology development cycle.

Summary of the impact

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.

Summary of the impact

Optimisation tools developed in the UoA have significantly advanced the ability to find the best designs for complex systems in cases where these were previously unobtainable. These optimisation tools have been implemented in several companies to shorten design times, reduce costs and reduce CO₂ emissions. This has brought about new multi-million pound revenues, long-term contracts, increased employment and contribution to sustainability targets.

Summary of the impact

Cloud computing is now used ubiquitously in consumer and commerce domains yielding unprecedented access to computing and data handling at affordable prices.

Work in this field was pioneered at the University of Southampton (UoS) from 1998 onwards and commercialised from 2008 through Dezineforce to enable companies to exploit cloud computing in engineering:

• The technology was applied in industries including aerospace and defence, energy, civil engineering and automotive.
• For small companies, we successfully demonstrated access to computing power and enhanced design tools delivered via the Cloud. e.g. Intelligent Flow Solutions used our tools to develop an innovative Wind Turbine Farm design with an increased lifetime return of over €55 million compared to alternative arrangements.
• Large companies benefited from more efficient ways of collaborative working and advanced design search/optimisation technologies, which had not been possible before. For example Arup achieved a £1 million+ figure saving on a stadium design in the Middle East.
• The IP was sold to Microsoft in 2011 with staff moving to roles in Microsoft's Azure Cloud/senior teams.

Throughout this period the team has also engaged in outreach to inspire and educate the next generation of scientists and engineers about High Performance and Cloud computing including a YouTube video with 485,000 hits and over 300 articles in media.

Summary of the impact

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

1. underpin design flow for partial run-time reconfigurable designs for Xilinx FPGA devices;
2. contribute to the start-up company Maxeler, pioneering reconfigurable computing systems and cloud services for high-performance computing in the financial and other sectors;
3. enable near real-time risk analysis for JP Morgan's global portfolio to analyse and manage risk much faster than previously possible;
4. achieve about 250 times speedup for Chevron's seismic modelling for oil and gas exploration, compared to the alternative use of CPU-based machines;
5. accelerate a financial market integrity platform for BlueBee and HL Steam in hardware.

Summary of the impact

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.

Summary of the impact

The invention of a novel component-based model and approach for rapid distributed software development are the core research results for this case study. Using our methodology we have built a fully functional platform — the Grid Integrated Development Environment (GIDE) — which has been used for the development of user applications by several industrial partners. The main economic impact of our work is the new component-based development process resulting in much higher productivity and shorter development cycle. In addition, the four new international standards approved by ETSI provide impact on the wider professional community in the areas of grid and cloud computing.

Summary of the impact

Automotive design analysis software based on qualitative reasoning research in the Advanced Reasoning Group at Aberystwyth is deployed at more than 200 automotive and aeronautic OEMs and Tier 1 suppliers world-wide. The software necessitates companies changing their process for performing design analysis, and companies are willing to do this because of the attendant benefits.

The major benefits of use of the software are early feedback on potential problems with the design of automotive systems, and improved safety of automotive designs. Related benefits are improved product time to market, and cost savings. A representative example of production savings of $2.5 million has been given for use of the software on a single product design, as well as Ford Motor Company's estimate of $20M per year saved in just their company.

Summary of the impact

Practical Waveform Engineering, developed at Cardiff, is having a major impact on how modern- day microwave power amplifiers are designed, delivering real competitive advantages for global communications companies such as Nokia-Siemens-Networks and M/A-COM.

Economic impact is through reduced time-to-market and lower design costs, leading to high- performance power amplifier products. Examples include $40M revenue and employment of additional staff for M/A-Com, and the successful spin-off company Mesuro Ltd., generating revenue in excess of £2.5M.

Impact on practice is through successful demonstration of new device technologies and amplifier architectures, the introduction of PWE-based CAD models, and most significantly, the introduction of the "Cardiff Model" into mainstream simulation tools.

Environmental Impact is by improving the efficiency of power amplifiers and significantly reducing the carbon contribution of mobile communications systems, translating into savings of approximately £2.5M/year and a 17 kiloton reduction in CO₂ emission for a typical EU network.

Summary of the impact

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.