PhysX3D [GRAVITY SIMULATION] Extreme Performance @ProjectPhysX

Uploaded September 2016 | Updated September 2026, 1 week ago

Durch ein bisschen Mikrooptimisierung und Verbesserung des Multithreading-Modus konnte ich nochmal den Faktor 2,3 an Rechenleistung rausholen.
Zu sehen ist das JPL-Sonnensystem mit den 178 größten Körpern, der Sonne, Planeten, Zwergplaneten, Asteroiden und Kometen. Ausgeschlossen sind Monde.
PhysX3D berechnet pro Sekunde ein Jahrzehnt. Die CPU-Auslastung links unten ist die reine Auslastung durch PhysX3D, sie ist nicht ganz 100%, weil das Videoaufnahmetool (Game-DVR) selbst Rechenleistung frisst.

Mehr Informationen auf: projectphysx.de

Musik: Chris Zabriskie - Cylinder Five

PhysX3D [GRAVITY SIMULATION] Extreme Performance

$From Boxes to photorealistic Fluid (marching-cubes + raytracing) From Boxes to photorealistic Fluid - how does ot work? The fluid simulation is done with the lattice Boltzmann method (LBM) with the Volume-of-Fluid (VoF) extension and piecewise linear interface construction (PLIC) for surface tension. VoF-LBM: https://www.researchgate.net/publication/349552856_High_Performance_Free_Surface_LBM_on_GPUs PLIC: https://www.mdpi.com/2079-3197/10/2/21 VoF-LBM provides a 3D grid with fluid fill levels, used as isovalues for marching-cubes, which generates a contiguous triangle mesh representing the water surface. Marching-cubes: http://paulbourke.net/geometry/polygonise/ With raytracing I shoot light rays from the camera through the 3D isogrid. For each grid cell that a ray traverses, I run marching-cubes to generate the triangles on-the-fly, then check for ray-triangle intersections with any of these triangles. If the ray intersects, I dont use the flat-face-surface nromal of the triangle, as this would lead to visual artefacts on the reflected/refracted rays. Instead, I interpolate the surface normal at the intersection point in order to have a smoothly appearing surface. How does surface normal interpolation work with marching-cubes? I get the normals directly at the lattice points with gradient (central derivative) on the isogrid, then linearly interpolate to get the normals at triangle vertices and linearly interpolate again to where the ray intersects the triangle with Barycentric coordinates on the triangle. 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 GPUs. New video with surface normal interpolation: https://youtu.be/UUYrWUpPQwY Old video without surface normal interpolation: https://youtu.be/9Rfu9ZqW894 The simulation setup you see here is a physically accurate 4mm diameter terminal velocity raindrop impact in water, although at rather low 256x256x218 resolution for this real time demo. See my published research paper in Microplastics and Nanoplastics, where the simulation is validated to great extent: https://microplastics.springeropen.com/articles/10.1186/s43591-021-00018-8 This simulation as well as the raytracing graphics are running in real time on a single Nvidia Titan Xp GPU. 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. For more performance details, see: https://arxiv.org/pdf/2112.08926.pdf #FluidX3D #OpenCL #Raytracing #GPU #LBM$

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Dr. Moritz Lehmann |

PhysX3D [GRAVITY SIMULATION] Extreme Performance