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Seigen: Seismic modelling through code generation

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poster
posted on 17.10.2016, 09:54 by Michael LangeMichael Lange, Christian JacobsChristian Jacobs, Fabio Luporini, Lawrence Mitchell, David Ham, Gerard GormanGerard Gorman
In this poster we present initial performance results for Seigen, a new seismological modelling framework that utilises symbolic computation to model wave propagation using the discontinuous Galerkin finite element method (DG-FEM). Our study is conducted in the context of Firedrake, an automated code generation framework that drastically simplifies in-depth experimentation with multiple problem discretisations, solution methods and low-level performance optimisations.

Funding

Intel Parallel Computing Center at Imperial College London and EPSRC grant EP/L000407/1.

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