  The Position Based Fluids (PBF) method is a state-of-the-art approach for
fluid simulations in the context of real-time applications like games. It uses
an iterative solver concept that tries to maintain a constant fluid density
(incompressibility) to realize incompressible fluids like water. However,
larger fluid volumes that consist of several hundred thousand particles (e.g.
for the simulation of oceans) require many iterations and a lot of simulation
power. We present a lightweight and easy-to-integrate extension to PBF that
adaptively adjusts the number of solver iterations on a fine-grained basis.
Using a novel adaptive-simulation approach, we are able to achieve significant
improvements in performance on our evaluation scenarios while maintaining
high-quality results in terms of visualization quality, which makes it a
perfect choice for game developers. Furthermore, our method does not weaken the
advantages of prior work and seamlessly integrates into other position-based
methods for physically-based simulations.
