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Grid Technologies for Engineering Applications Marc Molinari e-Science Centre University of Southampton.

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Presentation on theme: "Grid Technologies for Engineering Applications Marc Molinari e-Science Centre University of Southampton."— Presentation transcript:

1 Grid Technologies for Engineering Applications Marc Molinari e-Science Centre University of Southampton

2 Overview ●Project Case Studies ▪Geodise ▪GEM ▪G-Yacht ●Grid Benefits ●Further Information

3 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

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 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 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 Southampton, Oxford and Manchester

6 Technology Grid Technology Computational Steering KnowledgeCollaboration Engineer (Matlab interface) Visualisation Optimisation Computation Databases

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 Concept Design Development Production Application Maintenance Testing Integration Business Technology ApplicationInformation KnowledgeOptimisationComputation Product DBResultProcess

9 ●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 ) Industrial Perspective

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 x y 

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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