Details of Grant 

EPSRC Reference:	EP/V001345/1
Title:	ELEMENT - Exascale Mesh Network
Principal Investigator:	Parsons, Professor M
Other Investigators:	Moxey, Professor DC Wells, Professor GN Peiro, Professor J Hassan, Professor O Richardson, Dr CN Weiland, Professor M Sevilla, Professor R Sherwin, Professor S
Researcher Co-Investigators:
Project Partners:
Department:	Edinburgh Parallel Computing Centre
Organisation:	University of Edinburgh
Scheme:	Standard Research - NR1
Starts:	01 April 2020	Ends:	31 December 2021	Value (£):	245,611
EPSRC Research Topic Classifications:
EPSRC Industrial Sector Classifications:	Information Technologies
Related Grants:
Panel History:	Panel Date Panel Name Outcome 04 Mar 2020 Software use code development for exascale computing Announced
Summary on Grant Application Form
The Exascale Mesh Network - ELEMENT - addresses the high priority use case of meshing for the Exascale (i.e. ensuring that meshes are of sufficient quality to represent Exascale problems and can be partitioned efficiently to minimise load imbalance) as well as meshing at the Exascale (i.e. creating highly scalable solutions that will be able to exploit extreme levels of parallelism). The meshes required for Exascale simulations, under which we will aim to model problems with extreme geometric complexity and levels of refinement, will necessarily be very large with 10^9 cells and above, and contain cells that may differ in size by many orders of magnitude to faithfully resolve the underlying physics at their appropriate scales. Meshing and geometry management remain a significant bottleneck for complex applications on HPC platforms, posing a challenging obstacle that must be overcome to enable Exascale simulations. From a technical perspective, these issues include (but are not limited to) improved geometric handling, mesh adaptation and optimisation, intelligent meshing, automation and robustness, all within a large distributed environment that lies outside of our current capabilities. ELEMENT's objectives are threefold: building a community around meshing practice by establishing a collaborative network; undertaking proof of concept studies, with prototype implementations of two target challenges; and publishing a Vision Paper and strategic research agenda covering the full meshing workflow, from mesh generation to adaptation, partitioning and visualisation.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Project URL:
Further Information:
Organisation Website:	http://www.ed.ac.uk