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A collection of CFD related resources for Taichi developers.
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A collection of CFD related resources for Taichi developers.
Taichi is an open-source, imperative, parallel programming language for high-performance numerical computation. It is embedded in Python and uses just-in-time (JIT) compiler frameworks (e.g. LLVM) to offload compute-intensive Python code to the native GPU or CPU instructions.
Taichi provides several advantages over existing computational fluid dynamics tools:
- Performance: Through the @ti.kernel decorator, Taichi's JIT compiler automatically compiles your Python functions into efficient GPU or CPU machine code forparallel execution.
- Portability: Write your code once and run it everywhere. You can easilyreproduce other's work without worrying about environment setup.
- Simplicity: Data structure detached from computational logic. Tuning performance with only a few lines of change.
👀 All fluid simulation projects inTaichi are driven by and for the community. Please feel free to open up an issue to recommend any awesome fluid project you see or build.
You can easily install Taichi with Python's package installerpip
:
pip install taichi
After you have installed Taichi, running a Taichi program is as simple as:
python your_program.py
More information can be found inTaichi's Documentation.
- Taichi's documentation:Link
- SIGGRAPH 2020 course on Taichi basics:YouTube,Bilibili,slides (pdf).
- SIMPLE Method
- Lattice-Boltzmann Method
- Level-Set Method
- Marker-And-Cell (MAC) Method
- Volume-Of-Fluid (VOF) Method
- Convection Riemann solver
- Smoothed-Particle Hydrodynamics (SPH)
- Eulerian solver
- Eulerian-Lagrangian
- Stable fuilds
- FFT
- Interactive surface flow
- PIC / FLIP
- MPM
- taichi-particles by@taichi-dev
- taichi_fluids by@taichi-dev
- a-toy-fluid-engine by@Jack12xl
- Fluid-Engine-Dev-on-Taichi by@JYLeeLYJ
- FluidLab by@zhouxian
- Neural Fluid Fields