Archive of Project Links
This page is preserved for Archive links. Please visit Computational Engineering and Design Research Group for latest projects.
GEODISE - Grid Enabled Optimisation and DesIgn Search for Engineering
GEODISE is one of the EPSRC E-Science Testbed funded research programmes involving multi disciplinary teams working to build a state of the art design tool demonstrator.
The Geodise Project has a number of key goals including:
- Deliver a Design Optimisation Tool demonstrator for Fluid Dynamics problems
- Exploit GRID computing technology for the simulation and optimisation computation
- Enhance the design process through the adoption of Knowledge Management and Ontology techniques
- Further the use of Computational Fluid Dynamics for industrial application
- Adopt industrial project management methodologies for running the project
For further information please refer to www.geodise.org
GEM - Grid Enabled electroMagnetic optimisation
GEM will link to the Geodise test-bed and demonstrate seamless access to state-of-the-art optimisation and search tools, industrial strength analysis codes, and distributed computing and data resources in the area of engineering design optimisation. The industrial partners for the project will be Mesophotonics Ltd, a start-up company working on the design, fabrication, and characterisation of next-generation planar photonic devices. Access to the technologies from GEM will allow for the application of grid-based optimisation technologies to their electromagnetic design problems and provide an early exemplar of the take up of grid-technologies.
For further information please refer to www.soton.ac.uk/~gridem
GENIE - Grid ENabled Integrated Earth system model
GENIE aims to develop a Grid-based, modular, distributed and scaleable Earth System Model for long-term and paleo-climate studies. This will enable researchers (i) to flexibly couple together state-of-the-art components to form a unified ESM, (ii) to execute the resulting ESM on the Grid, (iii) share the distributed data produced by simulation runs, and (iv) to provide high-level open access to the system. It is led by Paul Valdes at the University of Reading, and involves Professor John Shepherd at the Southampton Oceanography Centre (SOC), Professor Simon Cox (SES, Southampton), Professor A J Watson (East Anglia), Dr A J Payne (Bristol), Professor J Darlington (Imperial College London), Dr R J Harding (NERC Centre for Ecology and Hydrology - Wallingford), Professor M G R Cannell (NERC's Centre for Ecology and Hydrology - Edinburgh). The e-science technology will be delivered by the Southampton regional e-science Centre and Imperial College.
For further information please refer to www.genie.ac.uk
BioSimGrid aims to establish a formal consortium for biomolecular simulations within the UK, increasing collaboration via a project based on distributed, shared data structures; Establish a biomolecular simulation database; exploit the GRID so that the database will exist in a distributed form but can be curated and interrogated centrally; and develop software tools for interrogation and data-mining across the entire distributed database. The project is led by Professor M Sansom (University of Oxford), with co-investigators: Professor P Jeffreys (Oxford), Professor S J Cox, Dr J Essex (Southampton), Professor D Moss (Birbeck, London), Dr O Smart (Birmingham), Dr C Laughton (Nottingham), Dr L Caves (York).
For further information please refer to www.biosimgrid.org/
G-Market aims to develop contracting, accounting, charging and payment mechanisms for Grid services and to investigate the brokering and market mechanisms that could be developed once these facilities are in place. This project is aimed at producing professional accounting, charging and payment mechanisms and software for the UK e-Science Grid and to provide UK input into the OGSA, it’s open source reference implementation, the Globus Toolkit 3.0 (GT3), and the Global Grid Forum (GGF) through the use of emerging Web Services technologies. Investigators include: Professor J Darlington, Professor P Harrison, Dr S Newhouse, Professor B Rustem (London e-Science Centre), Dr D Boyd, Dr R Allen (CLRC e-Science Centre), Dr J Brooke, Professor J Gurd, Dr J Maclaren, Dr S Pickles, G Riley (North West e-Science Centre), Dr I Steele (Liverpool Moores University, Astrophysics Research Institute), Professor S J Cox (Southampton) and Professor N Weatherill (Swansea). Partners involved in the project are Computer Sciences Corporation, Numerical Algorithms Group, GridX, RealTime Engineering Ltd, Sun Microsystems Ltd, SGI Inc., and Oracle.