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
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.
The volume and diversity of data that companies need to handle are
increasing exponentially. In
order to compete effectively and ensure companies' commercial
sustainability, it is becoming
crucial to achieve robust traceability in both their data and the evolving
designs of their systems.
The CRISTAL software addresses this. It was originally developed at CERN,
contributions from UWE Bristol, for one of the Large Hadron Collider (LHC)
experiments, and has
been transferred into the commercial world. Companies have been able to
agility, generate additional revenue, and improve the efficiency and
cost-effectiveness with which
they develop and implement systems in various areas, including business
(BPM), healthcare and accounting applications. CRISTAL's ability to manage
data and their
provenance at the terabyte scale, with full traceability over extended
timescales, based on its
description-driven approach, has provided the adaptability required to
future proof dynamically
evolving software for these businesses.
This case study embodies a non-linear relationship between underpinning
development and deployment. It involves computer science research at UWE
in conjunction with
its applied development for the world's largest particle physics
laboratory and onward deployment
commercially into private sector industry.
Grid computing research conducted by the High Energy Physics (HEP) Group
at the University of
Cambridge, Department of Physics has enabled software company IMENSE to
commercialise a range of content based image recognition products. The
substantial media interest and was featured at the BA Festival of Science
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.
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.
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.
Research during the 1990's at Newcastle University resulted in the
development of CANopen (Control Area Network open), a manufacturer
independent communication protocol for connecting multiple devices used in
industrial systems. It has resulted in opening up the market by providing
the platform for a low-cost simplified method of connecting off-the-shelf
devices to communicate effectively over a network, benefiting the global
economy and inspiring innovation. The significance of the impact is
evident by the wide incorporation of the technology in a diverse range of
products ranging from health care, automotive, renewable energy, rail and
aerospace industries. The reach of the impact is evident by its use in
product development by national and international companies and is the
de-facto European standard EN 50325-4 (CiA 301).
Impact: Economic gains
PHYESTA designed 8% of the area of the computer chip for IBM's most recent
BlueGene/Q supercomputer product. Global install base of design exceeds
Unique experiment in co-design at the cutting edge of technology. Adopted
by both IBM and Fujitsu, who have led in Green500 energy efficiency and
top500 supercomputer rankings.
This supercomputer architecture has been installed in labs in the UK, the
US, the EU, and Japan and is accelerating computational science and
advanced manufacturing around the globe. In the UK the BlueJoule system
installed in the Hartree center at Daresbury is driving HPC uptake in the
advanced manufacturing sector.
IBM, Fujitsu, computational science and the HPC community worldwide.
Attribution: This work was led by Dr Peter Boyle (School of
Physics & Astronomy, University of Edinburgh) in collaboration with
Columbia University and IBM.