Fluidity: an adaptive, unstructured mesh CFD framework. Applications, software development methods and parallel performance: Dr Jon Hill, Imperial College London (48 mins, ~22 MB)

EPCC Guest Lectures

Content provided by Iain Bethune and Iain Bethune (ibethune@exseed.ed.ac.uk). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Iain Bethune and Iain Bethune (ibethune@exseed.ed.ac.uk) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

13+ y ago 48:00

MP3•Episode home

Fluidity is a powerful Computational Fluid Dynamics framework developed at Imperial College over the last 20 years. Fluidity can be applied to a number of scientific applications, ranging from classic CFD, to oceans and multi-material problems. It uses a variety of discretisations on an unstructured mesh and includes a number of novel and innovative features, such as adaptive re-meshing, a user friendly interface, and a python interface. The main advantage Fluidity has is the adaptive re-meshing, which allows resolution to be focused where and when it is required during a simulation, depending on the simulation state at that time. This talk will briefly cover some of the features and science behind Fluidity before covering details of AMCGâ€™s software development methodologies and the parallel scaling behaviour of Fluidity on HECToR. Finally, future developments will be covered.
Links:

Slides - Talk slides

19 episodes

#Higher Education #Podcasting Education #Iain Bethune #Iain Bethune (ibethune@exseed.ed.ac.uk #EPCC #University Of Edinburgh