The Pioneers used to ride these for miles! 🖖🧐💺
Aerodynamics of an arm chair at 50km/h. 1 second real-time, 3 billion cells, 66k timesteps, 3 hours on 4x
@NVIDIADC
#A100 40GB #GPU​s. Happy #SimulationFriday
https://youtu.be/vD7Tj7H17jA
#FluidX3D #CFD: https://github.com/ProjectPhysX/FluidX3D

Here is the most detailed #CFD #simulation of a #quadcopter ever, at 3 Billion microscopic (0.2mm)³ grid cells. Compute time was 8 hours on 4 Nvidia #A100 40GB #GPU​s, for 86k timesteps + 5400 videoframes. Happy #SimulationFriday!
https://youtu.be/QvpNUdX8LNY

#FluidX3D on #GitHub: https://github.com/ProjectPhysX/FluidX3D

Kudos to Musa Maluegha for the awesome #CAD model: https://www.thingiverse.com/thing:2540161/files

I've always wanted to do a helicopter! 🖖😎🚁
Here it is, a Bell 222 in #CFD. With massive 10 billion cells. 71 TeraByte data visualized. Just for #SimulationFriday fun, because I can! Took 6.4 hours on 8x AMD Instinct #MI200 #GPU​s.
https://youtu.be/BStzTRmLW7Q
#FluidX3D on GitHub: https://github.com/ProjectPhysX/FluidX3D

It's #SimulationFriday again! Here is a real time @FluidX3D #CFD simulation of a #Cessna 172, 20M cells, on my old Titan Xp Pascal #GPU. 33 lines of code for this setup.
For #FluidX3D v2.8 I'm improving composite geometries with moving parts, and I'm adding transparent rendering.
https://youtu.be/Gd_MEHPecw0

Testing something... Siemens Simcenter takes 12 hours on 8x A100 for a #CFD simulation of a car, at 55M cells & 16600 (?) time steps. How fast is #FluidX3D for the same thing? *Checks watch* 147 seconds. And that is with only one A100 #GPU. Happy #SimulationFriday! 🖖😋
https://youtu.be/2R2aRO1MaqA

1200 rendered frames, 4 revoxelizations per frame, 10 time steps per revoxelization. 220000000 cells, 3.2TB data. An average gaming #GPU does this #CFD #simulation in 45min. For $0. This #SimulationFriday, #FluidX3D blows competition out of the water. 🖖😎
https://youtu.be/aqG8qZ_Gc4U #OpenCL

RT @ProjectPhysX@twitter.com

1200 rendered frames, 4 revoxelizations/frame, 10 time steps/revoxelization. 220000000 cells, 3.2TB data. An average gaming #GPU does this #CFD #simulation in 45min. For $0. This #SimulationFriday, @FluidX3D@twitter.com blows competition out of the water. 🖖😎
https://youtu.be/aqG8qZ_Gc4U #OpenCL

🐦🔗: https://twitter.com/ProjectPhysX/status/1616219635677892616

In my 2022 JSC proposal I wanted to do the raindrop on an entire 8x AMD Instinct MI200 node, at a mental 8 billion (!) voxels. I have now successfully extended the #FluidX3D free-surface code to multi-#GPU. Enjoy this #SimulationFriday #CFD gem!💧
https://youtu.be/oC6U1M0Fsug

#OpenCL compute (34650 LBM time steps at 2122×2122×1804 resolution) + seamless domain decomposition rendering took 5.5 hours.

I'm preparing the multi-GPU code for the update on GitHub. Stay tuned!