[slavik81]

> https://wickedengine.net/2018/05/21/scalabe-gpu-fluid-simula...

It's unrelated to boids, but I would not recommend using the Poly6 and Spiky kernels. That design originates from "Particle-based fluid simulation for interactive applications" (2003) by Müller et al., and they choose the spiky kernel on the assumption that a zero gradient at the origin is the reason why particles sometimes get stuck together. However, the clumping phenomenon was more closely studied by Dehnen and Aly in "Improving convergence in smoothed particle hydrodynamics simulations without pairing instability" (2012) [https://doi.org/10.1111/j.1365-2966.2012.21439.x]. They showed that you can predict pairing instability based on neighbour count, and that kernel functions that are everywhere positive within the Fourier domain do not exhibit that instability.

The Wendland family of kernel functions are thus recommended, as they fulfill that criteria. Though, for low neighbour counts a quartic B-spline is a good alternative.

Also, congrats on escaping--err... graduating!