https://github.com/erizmr/sph_taichi

A high-performance implementation of SPH in Taichi.
https://github.com/erizmr/sph_taichi

gpu physics-simulation simulation

Last synced: 5 days ago
JSON representation

A high-performance implementation of SPH in Taichi.

• Host: GitHub
• URL: https://github.com/erizmr/sph_taichi
• Owner: erizmr
• License: mit
• Created: 2020-06-08T19:28:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-05T00:46:40.000Z (4 months ago)
• Last Synced: 2025-01-17T22:06:20.805Z (12 days ago)
• Topics: gpu, physics-simulation, simulation
• Language: Python
• Homepage:
• Size: 68 MB
• Stars: 244
• Watchers: 5
• Forks: 44
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

        
# SPH Taichi

A high-performance implementation of Smooth Particle Hydrodynamics (SPH) simulator in [Taichi](https://github.com/taichi-dev/taichi). (working in progress)

## Examples

- 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)



  



## Features

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

### Note

The GPU parallel prefix sum is only supported by cuda/vulkan backend currently. 

## Install

```

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

```

## Reference

1. 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.

2. 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.

3. 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.

## Acknowledgement

Implementation is largely inspired by [SPlisHSPlasH](https://github.com/InteractiveComputerGraphics/SPlisHSPlasH).