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Distance CFD Supercomputing for Industry

Distance CFD

http://www.escience.cam.ac.uk/projects/cfd/

The field of Computational Fluid Dynamics (CFD) offers a major opportunity for the development and application of GRID technology in Engineering. There is a need to cascade large quantities of highly-detailed statistical data from very large simulation databases into large-scale engineering design calculations for industry. Industry requires CFD techniques offering rapid turnaround as well as high accuracy, and this demands high-quality physical modelling of unresolved small-scale processes, including turbulence and combustion. Thus, remote access to large and complex datasets is an essential part of the CFD development process. At the same time, CFD simulation is becoming more demanding, both in terms of the physics to be simulated and the levels of spatial and temporal resolution required. The requirement for increased computer power is being met at a local level by clusters of powerful PC-type workstations, and at University and national level by very large massively-parallel supercomputers. There is a clear need to integrate these resources into a seamless execution environment. The proposal offers GRID-based software solutions which have the potential to advance the entire subject area.

Maturity: Initial Research
Region: UK
Type: Centre Industrial
Grant Value: £182,429.00
Start Date: 01/08/2002
End Date: 31/07/2005
Project Status: completed
Funding Agency: Core


Project Members
PI
Dr R Cant


Collaborating Organisations
Cambridge e-Science Centre
Rolls Royce plc


Component(s) Project Develops
Application Services
Co-Scheduling
Data Management Services
Grid Computational Services


Application Area(s) associated with Project
Engineering & Physical

 

Last Updated: 22 Jun 12 11:02
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