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Grid Technologies for Engineering Applications

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

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  1. Grid Technologies for Engineering Applications Marc Molinarie-Science CentreUniversity of Southampton

  2. Overview • Project Case Studies • Geodise • GEM • G-Yacht • Grid Benefits • Further Information

  3. 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

  4. Geodise • e-Science pilot project • Computational Fluid Dynamics • EPSRC funded research programme • Range of industrial partners Grid-enabled Optimisation and Design Search for Engineering

  5. 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

  6. Technology Engineer (Matlab interface) Databases Optimisation Grid Technology Collaboration Knowledge Visualisation Computation Computational Steering

  7. 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

  8. Integration Concept Knowledge Design Optimisation Computation Development Production Product DB Testing Result Process Application Business Maintenance Application Information Technology

  9. 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)

  10. 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

  11. 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.”

  12. Design Process y a x

  13. 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

  14. 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

  15. 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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