These html pages are based on the PhD thesis "Cluster-Based Parallelization of Simulations on Dynamically Adaptive Grids and Dynamic Resource Management" by Martin Schreiber.
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Chapter 6
Application scenarios

The previous chapters focused on the algorithms developed for the parallelization of simulations on dynamically adaptive meshes. However, such an algorithmic description does not assure the applicability of the presented algorithms in real scenarios. Hence, we show possible application scenarios and discuss the benefits of our dynamically adaptive mesh refinement and the clustering in the upcoming sections.

 6.1 Prerequisites
  6.1.1 GeoClaw solver
  6.1.2 Error norm
  6.1.3 Error indicator
  6.1.4 Refinement and coarsening with bathymetry
 6.2 Analytic benchmark: solitary wave on composite beach
  6.2.1 Scenario description
  6.2.2 Gauge plots and errors
  6.2.3 Dynamic adaptivity
 6.3 Field benchmark: Tohoku Tsunami simulation
  III  Acknowledgements for the Tsunami simulation
  Acknowledgements for the Tsunami simulation
  Bathymetry and multi-resolution sampling
  Bathymetry and multi-resolution sampling
  Initialization
  Initialization
  Adaptivity parameters
  Adaptivity parameters
  Comparison with buoy station data
  Comparison with buoy station data
  Dynamically adaptive Tsunami simulations
  Dynamically adaptive Tsunami simulations
 6.4 Output backends
  6.4.1 VTK file backends
  6.4.2 OpenGL
 6.5 Simulations on the sphere
 6.6 Multi-layer simulations
 6.7 Summary and outlook

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