1. Grid Enabled Optimisation and Design Search for Engineering (GEODISE) http://www.geodise.org

2. Academic and Industrial Partners Southampton, Oxford and Manchester 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 http://www.geodise.org

3. Geodise will provide grid-based seamless access to an intelligent knowledge repository, a state-of-the-art collection of optimisation and search tools, industrial strength analysis codes, and distributed computing & data resources Geodise-K

4. Design

5. Modern engineering firms are global and distributed “Not just a problem of using HPC” CAD and analysis tools, user interfaces, PSEs, and Visualization Optimisation methods Data archives (e.g. design/ system usage) Knowledge repositories & knowledge capture and reuse tools. Management of distributed compute and data resources How to … ? … improve design environments … cope with legacy code / systems … integrate large-scale systems in a flexible way … produce optimized designs … archive and re-use design history … capture and re-use knowledge Design Challenges

6. Design and the Grid “PSE on Steroids”

7. DATA INFORMATION KNOWLEDGE COMPUTATION

8. RSM Construct RSM Evaluate Search Using RSM Best Design Adequate ? RSM Tuning Build Data-Base CFD DoE Initial Geometry CFD … … … … Cluster Parallel Analysis Design of Experiment & Response Surface Modelling

9. NASA Satellite Structure Optimized satellite designs have been found with enhanced vibration isolation performance using parallel GA’s running on work-station clusters.

15. Baseline 3D-boom on test

16. Design Optimisation Methods F OPTIONS is “a design exploration and optimization package that may be used to study and compare a large range of optimization methods when applied to design problems.” F Has > 30 algorithms e.g.: v Classical gradient descent methods. v Evolutionary and stochastic searches. v Response surface models. v Data-fusion methods. v Multi-objective / Pareto approaches. v Robust Engineering Design (RED) methods.

17. (DATA) INFORMATION KNOWLEDGE COMPUTATION

18. Automated Data Archiving

19. From information to knowledge Information “Which resources have the codes I require?” “Give me the current status of all resources” “When are resources under-used?” “What is the status of my jobs?” “Where was the code when the machine crashed?” “When will I get my results?” Re-use and analysis of knowledge “Why do these parameters perform well?” “What similar designs have been studied before?” “Which systems give good performance on which jobs?” “How to use the package?” “Who is an expert user of Genetic Algorithms?” “Which design strategies are likely to prove effective?”

20. DATA INFORMATION KNOWLEDGE COMPUTATION

21. Knowledge repositories. F Rule bases on available methods F Case based reasoning systems F Ontologies for allow use of domain and process knowledge F Search and retrieval systems F Intelligent resource management

22. Average Normalized Objective Function Value Best-Speed Optimizer, Approx Best-Overall Quality Optimizer, PDS Pictorial representations of the Overall Performance of each Search Technique on the Aircraft Wing Design Case Study Best-Quality Optimizer, SA Average Normalized Evaluation Count

23. Geodise-W

24. Geodise will provide grid-based seamless access to an intelligent knowledge repository, a state-of-the-art collection of optimisation and search tools, industrial strength analysis codes, and distributed computing & data resources Geodise-K

25. Technologies (i) Grid Middleware (To coordinate and authenticate use of components of Geodise) F Globus (and GGF grid-computing protocols) v Security Infrastructure (GSI) v Resource Allocation Mechanism (GRAM) v Resource Information System (GRIS) v Index Information Service (GIIS) v Grid-FTP v Metadirectory service (MDS 2.0+) coupled to LDAP server F Condor (distributed high performance throughput system) v Condor-G allows us to handle dispatching jobs to our Globus system v Active collaboration from with the Condor development team at University of Wisconsin (Miron Livny)

26. (ii) Data & Open W3C Standards (To access and interchange data) F XML and XML Schema v Representing data in a portable format F WSDL (Web Service Description Language) F UDDI (Universal Description, Discovery and Integration) v Publish and discover information about web services

27. (iii) Ontologies & Semantic Web (conceptualisation of a community’s knowledge of a domain) F DAML - OIL (DARPA Agent Markup Language/ Ontology Inference Language)  Genetics http://www.geneontology.org / v Virtual Enterprises v Product Specifications v Medicine v Encyclopaedic Knowledge http://www.cyc.com/cyc-2-1/toc.html

28. (iv) Knowledge Technologies

29. The future of design optimisation F Design improvements driven by the exploitation of CAD tools coupled to advanced analysis codes (CFD, FEA, etc.) F Distributed, heterogeneous computing environment spread across companies and time zones. F Optimization used alongside manual search as part of a problem solving environment. F Knowledge based tools for advice and control of process as well as product.

30. Conclusions F Design Optimisation needs all layers of Grid v Computation v Data v Information v Knowledge Geodise will provide grid-based seamless access to an intelligent knowledge repository, a state- of-the-art collection of optimisation and search tools, industrial strength analysis codes, and distributed computing and data resources