Dezineforce - pioneering cloud computing
Submitting Institution
University of SouthamptonUnit of Assessment
General EngineeringSummary Impact Type
TechnologicalResearch Subject Area(s)
Information and Computing Sciences: Artificial Intelligence and Image Processing, Computer Software, Distributed Computing
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.
Underpinning research
The underpinning research was performed in the EPSRC funded "PSE" and
"Geodise" eScience
[3.1] projects (1998-2005), the Microsoft Institute for High
Performance Computing (Microsoft-funded
2005 onwards and launched by Bill Gates), and also led to the £17.8
million Centre for
Fluid Mechanics Simulation Department of Trade and Industry (DTI) research
and development
project (2007-2010) which involved aerospace, automotive and supply chain
partners where Cox
led the IT Work package for Microsoft.
Geodise posed the question "How can companies get access to and
exploit high performance
distributed computing and data handling resources, industrial strength
analysis and design search
tools over the web and affordably?" and focussed on showing how
these technologies could be
used to make engineering artefacts and whole systems faster, cheaper,
greener, and/ or better.
Today we recognise these aims as those of cloud computing and
they address the strategic
commercial need to lower entry costs and (for engineering) the competitive
imperative of improving
the productivity of computer-assisted design.
Geodise was a multi-disciplinary, multi-site collaboration with
industrial partners including Rolls-Royce,
BAE Systems, Fluent and Microsoft. The project involved expertise at
Southampton on
engineering, design search, semantic technologies and distributed
computing & data; Oxford on
fluid dynamics solvers and Manchester on knowledge systems.
The Geodise tools [3.1] enabled distributed teams of engineers to
access large scale computing
and data handling on the cloud [3.2] to tackle complex tasks such
as those in aerospace design
[3.3] using state of the art design search tools [3.4],
industry strength and novel solvers [3.5].
We continued this fundamental work from 2005 onwards through the
Microsoft Institute for High
Performance Computing (HPC) at Southampton, which was the only such centre
Microsoft funded
in the UK (and one of only ten worldwide). This specifically recognised
our pioneering of HPC and
cloud computing, where we worked closely with Microsoft over subsequent
years on their Windows
HPC Server product & Cloud offering (Azure): we were part of their
showcase stand from 2005-2011
at the US "Supercomputing" conference series (the largest of its kind in
this field). In 2007,
Cox was awarded a technical leadership prize by Microsoft CEO Steve
Ballmer for his contribution
to Technical Computing, which highlighted the breadth and depth of his
ongoing relationship with
Microsoft.
The research carried out under the Geodise project was commercialised by
the company
Dezineforce which was founded by Prof Simon Cox (UoS from 1994), Prof Andy
Keane (UoS from
1996) and Prof Sir Nigel Shadbolt (UoS from 2000).
Cox led the funding of the company from 2005-2008, and hired a Chairman
and CEO with
assistance from Prof John Baits (a visiting professor at the University,
ex IBM). Five members of
the team joined the spin-out from the University. Grants and collaboration
with the Company
occurred between 2007 and 2011 — along with joint research activity, the
University provided
commercial hosting for Dezineforce's equipment. The company's IP was sold
to Microsoft in May
2011 with the transfer of IP and 6 members of staff.
The research has also led to media outreach (over 300 articles in
worldwide news, magazines, and
YouTube) and a course "Supercomputing in Engineering" in conjunction with
the Smallpeice trust
with over 200 attendees over the last seven years with a course rating of
over 90%.
References to the research
(best 3 outputs are starred)
*[3.1] Main Geodise Reference: Eres, M.H., Pound, G.E., Jiao, Z., Wason,
J.L., Xu, F., Keane,
A.J., and Cox, S.J. Implementation and utilisation of a Grid-enabled
problem solving environment
in Matlab. Future Generation Computer Systems, Vol. 21, No. 6, 2005, pp.
920-929.
EPSRC GR/M17259/01: "PSE" (Problem solving environments for Large-Scale
Simulations) 1998-2001.
EPSRC: GR/R67705/01: "Geodise" (Grid Enabled Optimisation & Design
Search for
Engineering) 2001-2005
[3.2] Fundamental: Xue G., Song W., Cox S.J., and Keane A.J., Numerical
Optimisation as Grid
Services for Engineering Design. Journal of Grid Computing, Vol.2, No.3,
2004, pp. 223-238.
[3.3] Book: Keane, A.J. and Prasanth, P.B. Computational Approaches for
Aerospace Design: The
Pursuit of Excellence. John Wiley & Sons, Chichester, UK. 2005.
*[3.4] Book: Forrester, A., Sóbester, A., and Keane, A.J., .Engineering
Design via Surrogate
Modelling: A Practical Guide. Chichester, West Sussex, England: John Wiley
& Sons Ltd., 2008.
*[3.5] New Adjoint solver: Campobasso M.S., Duta M.C. and Giles M.B.,
Adjoint Calculation of
Sensitivities of Turbomachinery Objective functions. AIAA Journal of
Propulsion and Power, Vol.
19, No. 4, July-August 2003, pp. 693-703.
[3.6] Ongoing research and outreach: Cox S.J., Cox J.T., Boardman R.P.,
Johnston S.J., Scott M.,
O'Brien N.S., "Iridis-pi: a low-cost, compact demonstration cluster"
Cluster Computing June 2013
DOI: 10.1007/s10586-013-0282-7. YouTube video for this at
http://www.youtube.com/watch?v=Jq5nrHz9I94
has 485,000 views [as at Oct 2013]
Details of the impact
Sophisticated computer simulations are used in many sectors of industry
to reduce the high cost of
prototyping and experiment and to provide better answers to complex
problems in less time.
Research conducted as part of the Geodise project led to the development
of tools and
technologies which were accessible over the web "on-demand" (cloud
computing) to make
engineering designs faster, cheaper, greener, better. We commercialised
this work through
Dezineforce, whose products and services were tested and used by design
engineers to optimise
designs in a range of industries including aerospace and defence, energy,
civil engineering and
automotive.
In Civil Engineering Arup used the dezineforce tools in 2008/9 to
design a spectator cooling
system in a 65 000-seater sports stadium in the Middle East. Using
Dezineforce's service, Arup
reduced the number of design iterations by over 80 percent and saved
valuable time and a
£1million+ figure sum for the stadium owners. Darren Woolf, Associate
Director of Arup's
Environmental Physics team who led the analysis explained the benefits [5.1]:
"Because CFD is so computationally hungry, each one of our design
iterations could take up to
eight hours to run on eight computers working in parallel. It would have
needed, using traditional
direct search techniques, as many as 300 design iterations per scenario.
A key objective for us
was to reduce this number of design iterations needed to reach a
solution. Dezineforce's
optimisation technology enabled us to evolve an optimum design faster
than other algorithms out
there and we saw the number of runs required drop by more than 80
percent from what we were
predicting." ... "There is no question that engineering design
optimisation is complex and
processor hungry but, implemented correctly with well-designed
processes, such as those from
Dezineforce, coupled with high performance processing resources, it can
be a very powerful
tool."
Other work included optimisation of wind farm layout with UK company
Intelligent Fluid Solutions
in 2009 [5.2], where efficient use of optimisation-driven
simulation enabled the optimum number
and layout of wind turbines for a specific site to be identified. This
resulted in a predicted increased
lifetime return of over €55 million compared to the same number of
turbines in an alternative
arrangement. Dr Andrej Horvat, Principal Engineer, Intelligent Flow
Solutions presented his
conclusions of joint study using Dezineforce cloud and optimisation
technologies:
"A CFD based modelling methodology was developed to predict wind farm
power output for a
given investment. Different wind farm layouts were simulated to
calculate power output of the
wind farm; The analysis shows that the same number of turbines in
different layouts can result in
significantly different yield. With alternate offset rows, wide, shallow
wind farms are most
profitable; the use of computational simulation methods and advanced
optimisation tools can
result in significant performance improvements."
Dezineforce also worked closely to have an impact with leading suppliers
of modelling tools in the
industry to bring new ways to access licenses and HPC tools to customers.
Previously companies
sold only expensive licenses whereas working with Dezineforce, software
companies such as
ANSYS, CD-Adapco, and MSc-Nastran realised that many clients want to rent
their software by the
hour or for a specific project. In particular, partnership with
Dezineforce companies such as Ansys
developed new pricing structures & models for license usage amenable
to HPC and engineering
design search tasks. Dezineforce was one of the first companies to offer
these packages in this
flexible way over the cloud or on site. Barbara Hutchings, Director of
Strategic Partnerships at
ANSYS Limited and Lionel Humpheys (sales manager) commented in
April 2010 on these
changes to licensing with Dezineforce during at a webcast (quote from
Q&A): [5.3]
"The [Dezineforce] HPC Appliance is designed to work with ANSYS
Mechanical, ANSYS CFX,
and ANSYS Fluent. If you happen to own parallel licenses of these
products, all of these could be
traded back at 100% of their original list prices, and we will trade
them back for HPC licenses. In
certain instances, it may mean you get an increase of license count — an
increase in the number
of parallel sessions you can run at no additional cost."
Microsoft has engaged heavily with the University of Southampton
and Dezineforce. Vince
Mendillo [5.4], Senior Director of High Performance Computing at
Microsoft (in Nov 2009)
commented:
"Windows HPC server is enabling scientists and engineers around the
world to tackle challenging
research problems. We are very excited about the tremendous work the
team at the University of
Southampton has been doing to bringing supercomputing to the masses."
At Supercomputing in Nov 2010, Dezineforce and the University of
Southampton, using Microsoft
Windows HPC Server R2, Microsoft Azure, and the Dezineforce technical
computing server,
showed how an engineer can seamlessly scale their complex design analysis
from their client
workstation, to a local cluster, and then onto an Azure cloud based
platform [5.5]. This was the first
demonstration of such a capability on Microsoft's technology using
in-house HPC systems, cloud
computing and running licensed 3rd party software coupled to
optimisation tools. Microsoft worked
closely with the team in Dezineforce and it was one of the first UK
companies recognised as part of
its BizSpark One programme (2010) [5.6] and Dezineforce's IP was
sold to Microsoft in 2011 with
transfer of 6 staff to key roles in its Azure (Cloud)/ senior team.
For more than a decade, the partnership between the University of
Southampton and Microsoft has
continued to impact on Microsoft's global business proposition and has
received funding of over
£1 million from Microsoft in the last 5 years alone. Cox has been awarded
Microsoft Most Valuable
Professional (MVP) status every year since 2003 [5.7]. In 2010 Cox
was appointed, along with
Southampton's Dr Kenji Takeda, as a founder member of Microsoft's
Technical Computing
Executive Advisory Council, which includes CIOs of Fortune 20 companies.
Takeda has since
joined Microsoft as Solutions Architect and Technical Manager in its
research team (from 2010).
Outreach. The University of Southampton continues to inspire the
next generation of scientists
and engineers — especially relating to the use of high performance/ cloud
computing. Cox's
"Supercomputing in Engineering" course [5.8] with the Smallpeice
Trust has run annually with
25+ sixth form students since 2006 with a content rating of 90%+ from
participants with comments
such as "Day two on the course kicked off with Simon's talk on
algorithms and efficiency in
supercomputer. I loved this talk because it summed up everything I was
interested in computers".
Lucy Kelly (Smallpeice Trust) commented in 2013 "This course has
demonstrated to some very
intelligent and enthusiastic young people just how important this
subject is and what a great impact
they could have if they decided to pursue a career in this area."
Over 485,000 [Oct 2013] people have viewed Cox's YouTube video [5.9]
showing how the
Raspberry Pi will enable the next wave of cheap commodity cloud/
supercomputing with news
articles, video material and a full construction guide about the World's
first Raspberry Pi + Lego
Supercomputer: 300+ worldwide news/ tech press items in multiple
languages including BBC,
CNET, PC Pro Magazine (where it was the #1 Raspberry Pi project in their
Christmas 2012
edition), and 10,000+ Tweets & Facebook likes of the news coverage.
Liz Upton [5.10] [liz@raspberrypi.org]; the only paid employee of
the Raspberry Pi Foundation at
the time of writing her mail, who handles all of their external
public-facing interactions wrote to Cox
on 12/09/12 about the story above:
"Thank *you* — we were tickled to bits when we saw it. Do give me a
shout next time you do
something Pi-related; I'm always looking for stuff for the blog, and I
have suspicion you're not
done yet!"
Such outreach is contributing towards ensuring there is a pool of highly
skilled workers who will
pioneer the next wave of research and development into computational
technologies for
engineering just as we have done through Dezineforce and its underpinning
research.
Cloud computing as exemplified by its penetration into consumer products
such as music, photos,
personal archiving and business products for office document and data
sharing has fundamentally
changed the way we use computing power and it touches many lives. Its
application to Engineering
problems was pioneered at the University of Southampton.
Sources to corroborate the impact
[5.1] Arup, Dr Darren Woolf
[5.2] Intelligent Flow Solutions, Dr Ondrej Horvat
[5.3] ANSYS Limited, Dr Barbara Hutchins, Director of Strategic
Partnerships and Lionel
Humpheys (sales manager)
[5.4] Microsoft Vince Mendillo, Senior Director of High Performance
Computing at Microsoft
[5.5] Supercomputing 2010 public domain reference sources
[5.6] BizSpark One Dezineforce [Press and Video]
[5.7] Microsoft Most Valuable Professional (Cox)
[5.8] Supercomputing in Engineering Smallpeice Course
[5.9] Raspberry Pi Outreach [Press/ YouTube]
[5.10] Liz Upton, Raspberry Pi Foundation, email