SPECFEM3D solves linear seismic wave propagation (elastic, viscoelastic, poroelastic, fluid-solid) and dynamic rupture problems in heterogeneous 3D models. SPECFEM3D also implements imaging and FWI for such complex models based on an L-BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm. Based on the high-order spectral-element (CG) discretization for unstructured hexahedral meshes. Scalable performance at Petascale (runs on the largest machines worldwide: Titan and Summit at Oak Ridge, Piz Daint, CURIE, K computer, etc.)
CoE: ChEESE
SeisSol solves seismic wave propagation (elastic, viscoelastic) and dynamic rupture problems on heterogeneous 3D models. SeisSol uses high-order DG discretization and local time-stepping on unstructured adaptive tetrahedral meshes. Scalable performance at Petascale has been demonstrated up to several thousand nodes (on several supercompers, e.g., Cori, SuperMUC, Hazel Hen, Shaheen, etc.). Earlier work considered offload schemes that scaled to 8000 nodes on the Tianhe-2 supercomputer (Xeon Phi, Knights Corner).
CoE: ChEESE
Salvus High-performance package for waveform modelling and inversion with applications ranging from laboratory ultrasound studies to planetary-scale seismology. Solves dynamic (visco-)acoustic and elastic wave propagation problems on fully unstructured hypercubic and simplicial meshes in 2 and 3 dimensions using a spectral-element approach.
CoE: ChEESE
ExaHyPE engine supports simulation of systems of hyperbolic PDEs, as stemming from conservation laws. A concrete model for seismic wave propagation problems is being developed within the ExaHyPE project. The model is based on high-order Discontinuous Galerkin (DG) discretization, local time-stepping and works on octree-structured Cartesian meshes. The activities in this CoE will focus on setting up concrete services based on the ExaHyPE engine and seismic models.
CoE: ChEESE
This website is created and maintained by the project FocusCoE. FocusCoE has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement Nº 823964.