Скачать или смотреть Falling Ring Splash

I recreated the initial phase of the disk splash in CFD with my FluidX3D OpenCL lattice Boltzmann code. Video of the experiment can be found here:   / water_cake_by_wmhejiu  

Grid resolution is 560³, and parameters match the experiment 1:1. I estimated geometry via the centimeter-grid on the table, fall height 0.5m, viscosity / density / surface tension of water.
The disk in the simulation moves; I use moving bounce-back and periodically update the flag lattice. This was simulated on my desktop PC (Titan Xp GPU) and took 78 minutes.

With a novel "Esoteric-Pull" in-place streaming scheme, combined with FP32/FP16 mixed precision, the memory requirements for the Volume-of-Fluid lattice Boltzmann method is cut down from 181 to 67 Bytes/Node, about 1/3 of vanilla LBM. This enables colossal resolutions.

Raindrop simulations: https://doi.org/10.1186/s43591-021-00...
Volume-of-Fluid: https://doi.org/10.3390/computation10...
Esoteric-Pull: https://doi.org/10.3390/computation10...
FP32/FP16 mixed precision: https://www.researchgate.net/publicat...
FluidX3D: https://doi.org/10.15495/EPub_UBT_000...

The simulation software used is FluidX3D, an OpenCL implementation of the lattice Boltzmann method. FluidX3D runs at peak hardware efficiency on the worlds fastest data-center GPUs (8799/5232 MLUPs/s on the Nvidia A100/V100 @ D3Q19 SRT FP32), on gaming GPUs and CPUs and it even runs my smartphone.

The rendering is done by FluidX3D as well, now with raytracing. Simulated light rays from the camera traverse the LBM lattice and check for intersections with the triangles that marching-cubes generates on-the-fly from the isovalues. Triangles never leave registers.
The 3D lattice that the LBM provides already is one of the ideal acceleration structures for raytracing. Any ray only has to check for possible intersections with iso-surface triangles contained within the traversed grid cells. This makes it - when the lattice is not too large - even run in real time on non-RTX GPU​s.

FluidX3D is now built entirely on my open source OpenCL-Wrapper, reducing the entire code on the C++ side to about half. If you want to get into OpenCL yourself, look no further: https://github.com/ProjectPhysX/OpenC...

#FluidX3D #OpenCL #Raytracing #GPU #LBM