Grid technologies for engineering applications
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Grid Technologies for Engineering Applications. Marc Molinari e-Science Centre University of Southampton. Overview. Project Case Studies Geodise GEM G-Yacht Grid Benefits Further Information. Richard Boardman Sergio Campobasso Liming Chen Simon Cox Mihai Duta Clive Emberey

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Grid technologies for engineering applications

Grid Technologies for Engineering Applications

Marc Molinarie-Science CentreUniversity of Southampton


Overview

Overview

  • Project Case Studies

    • Geodise

    • GEM

    • G-Yacht

  • Grid Benefits

  • Further Information


E science team

Richard Boardman

Sergio Campobasso

Liming Chen

Simon Cox

Mihai Duta

Clive Emberey

Hakki Eres

Matt Fairman

Carole Goble

Richard Gooding

Sam Gould

Mike Giles

Richard Harding

Ian Hartney

Tracey Hunt

Zhuoan Jiao

Andy Keane

Marc Molinari

Graeme Pound

Nicola Reader

Colin puleston

Ben Rogers

Mark Scott

Nigel Shadbolt

Paul Smart

Wenbin Song

Barry Tao

Jasmin Wason

Fenglian Xu

Gang “Luke” Xue

e-Science Team


Geodise

Geodise

  • e-Science pilot project

  • Computational Fluid Dynamics

  • EPSRC funded research programme

  • Range of industrial partners

Grid-enabled Optimisation and Design Search for Engineering


Parties involved

Simon Cox –Grid/ W3C Technologies and High Performance Computing, Global Grid Forum Apps Working Group

Andy Keane –Director of Rolls Royce/ BAE Systems University Technology Partnership in Design Search and Optimisation

Mike Giles –Director of Rolls Royce University Technology Centre for Computational Fluid Dynamics

Carole Goble –Ontologies and DARPA Agent Markup Language (DAML) / Ontology Inference Language (OIL)

Nigel Shadbolt –Director of Advanced Knowledge Technologies (AKT) IRC

Parties involved

Southampton, Oxford and Manchester

BAE Systems -Engineering

Rolls-Royce - Engineering

Fluent - Computational Fluid Dynamics

Microsoft - Software/ Web Services

Intel - Hardware

Compusys - Systems Integration

Epistemics - Knowledge Technologies

Condor - Grid Middleware


Technology

Technology

Engineer

(Matlab interface)

Databases

Optimisation

Grid Technology

Collaboration

Knowledge

Visualisation

Computation

Computational Steering


Grid technologies for engineering applications

GEM

  • Provide a tool for grid-enabled electro-magnetic optimisation for industrial use

  • DTI funded project

  • Industrial partner: Mesophotonics Ltd.

  • Next-generation photonic devices for high-speed optical communication


Grid technologies for engineering applications

Integration

Concept

Knowledge

Design

Optimisation

Computation

Development

Production

Product DB

Testing

Result

Process

Application

Business

Maintenance

Application

Information

Technology


Grid technologies for engineering applications

Industrial Perspective

  • Functionality, robustness, effectiveness

  • Transparent integration (training)

  • Horizontal / Vertical Business Workflow

  • Reliability (availability, performance, security)

  • Manageability

  • International standards (Grid-services)

  • Interoperability (O/S independence)

  • Overall efficiency (cost of ownership)


G yacht

G-Yacht

  • Yacht CFD and analysis tool

  • Industrial Partner: Wolfson Unit for Marine Technology and Industrial Aerodynamics (WUMTIA)

  • Americas Cup, Volvo Ocean Race and Vendee Globe

  • Experimental data  CFD data


Vision

Vision

“To develop a service to give remote access to yacht CFD and analysis tools via a Grid enabled Web portal allowing globally spread design teams to interact efficiently and effectively.”


Design process

Design Process

y

a

x


Grid technologies

Grid Technologies

  • Grid technology / Webservices

  • Condor

  • Microsoft .NET

  • IBM Websphere

  • Globus Toolkit

  • Open Grid Services Architecture (OGSA)

  • Grid Security Infrastructure (GSI)

  • Extend applications with Grid access

PC’s, Workstations,Cluster


Benefits of grid technology

Benefits of Grid Technology

  • Rapid prototyping  less time-to-product

  • Collaborative / Restrictive Engineering

  • Use of Resources

    • In-house availability

    • Through services

    • Pay-per-use

  • Access to technology otherwise unavailable

  • Lower cost


Further information

Further Information

  • www.e-science.soton.ac.uk

    • www.geodise.org

    • www.soton.ac.uk/~gem

    • www.soton.ac.uk/~gyacht

  • www.nesc.ac.uk

  • www.whiterose.ac.uk


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