Grid Enabled Optimisation and
Design Search for Engineering
(GEODISE)
Prof Simon Cox
Southampton University
3rd Annual Workshop on Linux Clusters for Super Computing
National Supercomputer Centre, Linköpings Universitet, Sweden
http://www.geodise.org
Grid Enabled Optimisation and Design
Search for Engineering (GEODISE)
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)
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
Nigel Shadbolt- Director of Advanced
Knowledge Technologies (AKT) IRC
http://www.geodise.org
The GEODISE Team ...
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Richard Boardman
Sergio Campobasso
Liming Chen
Mike Chrystall
Simon Cox
Mihai Duta
Clive Emberey
Hakki Eres
Matt Fairman
Carole Goble
Mike Giles
Ian Hartney
Tracey Hunt
Zhuoan Jiao
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Andy Keane
Marc Molinari
Juri Papay
Graeme Pound
Nicola Reader
Angus Roberts
Mark Scott
Tony Scurr
Nigel Shadbolt
Paul Smart
Barry Tao
Jasmin Wason
Fenglian Xu
Gang “Luke” Xue
Design
Structural Optimisation
Design Challenges
Modern engineering firms are global and distributed
How to … ?
… improve design environments
… cope with legacy code / systems
… produce optimized designs
CAD and analysis tools, user
interfaces, PSEs, and Visualization
Optimisation methods
… integrate large-scale systems in a
flexible way
Management of distributed compute
and data resources
… archive and re-use design history
Data archives (e.g. design/ system
usage)
… capture and re-use knowledge
Knowledge repositories &
knowledge capture and reuse tools.
“Not just a problem of using HPC”
The Grid Problem
“Flexible and secure sharing of resources among
dynamic collections of individuals within and
across organisations”
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Resources = assets, capabilities, and knowledge
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Capabilities (e.g. application codes, analysis tools)
Compute Grids (PC cycles, commodity clusters, HPC)
Data Grids
Experimental Instruments
Knowledge Services
Virtual Organisations
Utility Services
Grid middleware mediates between these resources
GEODISE
Engineer
GEODISE
PORTAL
Knowledge
repository
Ontology for
Engineering,
Computation, &
Optimisation and
Design Search
Visualization
Session
database
Traceability
OPTIMISATION
OPTIONS
System
APPLICATION
SERVICE
PROVIDER
Intelligent
Application
Manager
Reliability
Security
QoS
CAD System
CADDS
IDEAS
ProE
CATIA, ICAD
Globus, Condor, OGSA
Optimisation
archive
COMPUTATION
Licenses
and code
Analysis
CFD
FEM
CEM
Design
archive
Parallel machines
Clusters
Internet Resource Providers
Pay-per-use
Intelligent
Resource
Provider
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 Demo
(1) Security Infrastructure
Authentication & Authorisation
(2) Define Geometry to
optimise
Nacelle Design
3D
(3) Sample Objective function
to build Response Surface
Model
Grid Computing
Axisymmetric
(2D)
GEODISE Demo
(4) Optimise over Response
Surface Model
(5) Grid Database Query and
Postprocessing of Results
Coming next…
Grid Computing using (.NET)
web services
http://www.geodise.org
Knowledge Portal
Knowledge Acquisition
Coming next…
Knowledge Technologies
a) Annotating Design Optimisation Workflows
using OntoMat-Annotizer
b) Knowledge Portal
http://www.geodise.org
Workflow Requirements
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Flexibility
 Customise the workflow and its components initially
 Compose a work flow via drag & drop activity node component into
an editor panel
 Link to knowledge and other services
Monitoring
 Interact with the workflow or its components during simulation
 Job status
 Resource usage
Maintainable
 Modify & re-use the workflow either in a GUI or in a human readable
file
Usability
 Easy to use by engineering users
Workflow Tools: IBM
Workflow Tools: Microsoft
Grid Enabled Optimisation and
Design Search for Engineering
(GEODISE)
Prof Simon Cox
Southampton University
http://www.geodise.org
Workflow Requirements
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Flexibility
 Customise the workflow and its components initially
 Compose a work flow via drag & drop activity node component into
an editor panel
 Link to knowledge and other services
Monitoring
 Interact with the workflow or its components during simulation
 Job status
 Resource usage
Maintainable
 Modify the workflow either in a GUI or in a human readable file
Usability
 Easy to use by engineering users
Matlab
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Matlab and toolboxes for mathematical computation,
analysis, visualization, and algorithm development:
“MATLAB is an intuitive language and a technical computing environment.
It provides core mathematics and advanced graphical tools for data
analysis, visualization, and algorithm and application development. With
more than 600 mathematical, statistical, and engineering functions,
engineers and scientists rely on the MATLAB environment for their
technical computing needs.”
(www.mathworks.com)
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Industry usage
 Aerospace
 Defense
 Automotive
 Biotech
 Pharmaceutical
 Medical
CROSS PLATFORM/ OS
Matlab
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Flexibility
Integrated Development Environment
 Provides full GUI Support and can integrate code
from Fortran, C, Java, & Web/ Grid Services
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Monitoring
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Maintainable
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Command line/ batch mode
Matlab Scripts readable and editable by Engineers
Usability
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Already in widespread use by Engineers
Grid Computing from Matlab
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Globus commands (based on Java CoG v0.9.13)
gd_CreateProxyCertVisual
 gd_BatchSubmit
 gd_JobStatus
 gd_GetFile (GSIftp v0.9.14)
 gd_PutFile (GSIftp v0.9.14)
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Database commands
gd_archive
 gd_query
 gd_retrieve
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Coming next…
Grid-enabled Mesh Generation
and Computational Fluid
Dynamics
http://www.geodise.org
Coming next…
Database Archive, Query and
Retrieve
http://www.geodise.org
The future of design optimisation
Design Optimisation needs integrated services
 Design improvements driven by CAD tools coupled to
advanced analysis codes (CFD, FEA, CEM etc.)
 On demand heterogeneous distributed computing and
data spread across companies and time zones.
 Optimization “for the masses” alongside manual search
as part of a problem solving environment.
 Knowledge based tools for advice and control of process
as well as product.
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
Conclusions
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Grid is not just about computing
Grid must be provided to users in a familiar
environment
Services need semantics
Workflow is an important issue
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… Agnostic about operating system
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