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.
There is also more information and a PDF version available.

6.7 Summary and outlook

We presented several application scenarios to show the applicability and benefits of dynamically adaptive grids. Based on an analytic benchmark, we showed the correct implementation and that over 96% cells can be saved with a dynamically adaptive grid. Then a Tsunami simulation was implemented to show the applicability of the dynamic adaptivity within a realistic scenario. With a relatively small benchmark scenario, the computation time for the simulation was already improved by a factor of 6.6 with results of higher accuracy compared to the simulation on a regular grid. Assuming, that the results with the dynamically adaptive simulation are sufficiently accurate, the runtime improvement is larger than a factor of 54. For the data analysis with an offline processing, we tested several output backends for online and offline processing. Here, online processing allows direct visualization of the simulation as well as interactive steering methods. We further developed several ways of writing output data to persistent memory. Here, writer tasks result in only 4% loss in performance compared to a simulation which is not writing any output data. Finally, we presented our extensions for simulations on the sphere and a multi-layer discretization.

There are a couple of issues that deserve further investigation in the future. Among others, these are given as follows: