We present a novel framework for automatically simplifying the dynamics computation of particle systems to improve simulation speeds. Our approach is based on a physically-based subdivision scheme to generate a hierarchy of approximated motion models or simulation levels of detail (SLOD). At each time step, the SLODs are updated on-the-fly, and the appropriate SLOD is chosen adaptively to reduce computational costs. We have tested a prototype implementation on the simulation of a water fountain and a galaxy system. The preliminary results show a significant performance gain on these scenarios with little loss in the visual appearance of the simulation, indicating the potential to generalize this approach to other dynamical systems.
["David O'Brien", 'Susan Fisher', 'Ming C. Lin']
Automatic simplification of particle system dynamics