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Allow the toy detector grids to find all neighboring surfaces, this should increase the number of tracks that can be found and fitted. Furthermore, I restricted the simulation to an eta region, where the tracks should hit a decent number of sensitive surface.
I also tried removing the constrained step from the finder and fitter, since they are not used in performance relevant code and eat at least a bit of memory (it is an array or constraints that all need to be checked at every step).
I then tried to see if the performance hit comes from the grids, so I tried using the static grids of the toy detector instead of a grid with dynamic bin capacities. Apart from that, the detector is now copied to device instead of using managed memory.