We present a highly efficient numerical solver for the Poisson equation on irregular voxelized domains supporting an arbitrary mix of Neumann and Dirichlet boundary conditions. Our approach employs a multigrid cycle as a preconditioner for the conjugate gradient method, which enables the use of a lightweight, purely geometric multigrid scheme while drastically improving convergence and robustness on irregular domains. Our method is designed for parallel execution on shared-memory platforms and poses modest requirements in terms of bandwidth and memory footprint. Our solver will accommodate as many as 768X768X1152 voxels with a memory footprint less than 16GB, while a full smoke simulation at this resolution fits in 32GB of RAM. Our preconditioned conjugate gradient solver typically reduces the residual by one order of magnitude every 2 iterations, while each PCG iteration requires approximately 6:1sec on a 16-core SMP at 7683 resolution. We demonstrate the efficacy of our method on animations of smoke flow past solid objects and free surface water animations using Poisson pressure projection at unprecedented resolutions.
@macattack1459
Or maybe you did ;)
Sorry that you dont like the fact i dont find this to look verry good
Capeau 2 months ago
@Capeau There is no foam in this simulation but other then that I think it looks really good. Maybe you've been living on a planet covered in mercury for your whole life or something?
macattack1459 2 months ago
the splashes look really bad
Capeau 5 months ago