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Mesh/Graph Partitioning and Load Balancing for High Performance Computing Applications - A One Day Workshop, Jun 2013, United Ki

Posted By: neil godfrey
Date:Fri, 12 Apr 2013, 10:55 a.m.

United Kingdom, June 12, 2013

The workshop aims at introducing the notion of mesh
partitioning or graph partitioning as a pre-processing load
balancing step for applications that rely on High
Performance Computing. Both static and dynamic partitioning
approaches will be discussed based on the needs of the
underlying physical applications.



Course Objectives

Effective use of any High Performance Computing (HPC)
Infrastructure is important and often a mandatory pre-
requisite to gain access to larger HPC facilities.
Partitioning of the underlying graph, or mesh, is a crucial
pre-processing step towards a balanced work split amongst
the processors that will later perform the heavy
computational work. This pre-processing task is particularly
challenging when dealing with larger unstructured meshes or
when the computational objectives are complex or many-fold.
Practice has shown that careful consideration of the choice
of the partitioning strategy leads to significant
computational gains and hence effective use of computational

Course Topics

The course features lectures on:

Graph Partitioning
Mesh Partitioning
Load Balancing.

Who Should Attend?

Practitioners involved in numerical simulations in a
parallel computing environment (ranging from smaller
Computing Clusters to larger High Performance Computing
infrastructures). In particular Engineers involved in any
Computational Fluid Dynamics (CFD) or other simulations
where the computational domain is described through an
unstructured mesh or the computational load is not static.

Practitioners whose data can be represented in a graph
format (social networks for example), where this graph is
too large to be analysed in traditional desktops and thus
the use of Parallel Computing is mandatory.

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