A high-performance implementation of Smooth Particle Hydrodynamics (SPH) simulator in Taichi. (working in progress)
- Dragon Bath (~420 K particles, ~280 FPS on RTX 3090 GPU, with timestep 4e-4)
- Armadillo Bath (~1.74 M particles, ~80 FPS on RTX 3090 GPU, with timestep 4e-4)
Currently, the following features have been implemented:
- Cross-platform: Windows, Linux
- Support massively parallel GPU computing
- Weakly Compressible SPH (WCSPH)[1]
- One-way/two-way fluid-solid coupling[2]
- Shape-matching based rigid-body simulator[3]
- Neighborhood search accelerated by GPU parallel prefix sum + counting sort
The GPU parallel prefix sum is only supported by cuda/vulkan backend currently.
python -m pip install -r requirements.txt
To reproduce the demos show above:
python run_simulation.py --scene_file ./data/scenes/dragon_bath.json
python run_simulation.py --scene_file ./data/scenes/armadillo_bath_dynamic.json
- M. Becker and M. Teschner (2007). "Weakly compressible SPH for free surface flows". In:Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation. Eurographics Association, pp. 209–217.
- N. Akinci, M. Ihmsen, G. Akinci, B. Solenthaler, and M. Teschner. 2012. Versatile rigid-fluid coupling for incompressible SPH. ACM Transactions on Graphics 31, 4 (2012), 62:1–62:8.
- Miles Macklin, Matthias Müller, Nuttapong Chentanez, and Tae-Yong Kim. 2014. Unified particle physics for real-time applications. ACM Trans. Graph. 33, 4, Article 153 (July 2014), 12 pages.
Implementation is largely inspired by SPlisHSPlasH.
