Productive & portable programming language for high-performance, sparse & differentiable computing on GPUs
Taichi (太极) is a programming language designed for high-performance computer graphics. It is deeply embedded in Python, and its just-in-time compiler offloads compute-intensive tasks to multi-core CPUs and massively parallel GPUs.
python3 -m pip install taichi
Supported OS: Windows, Linux, Mac OS X; Python: 3.6/3.7/3.8 (64-bit only); Backends: x64 CPUs, CUDA, Apple Metal, OpenGL Compute Shaders.
Please build from source for other configurations (e.g., your CPU is ARM, or you want to try out our experimental C backend).
Note: - The PyPI package supports x64 CPU, CUDA 10/11, Metal, and OpenGL Compute Shader backends. - On Ubuntu 19.04+, please
sudo apt install libtinfo5. - On Windows, please install Microsoft Visual C++ Redistributable if you haven't. - [All releases]
The Taichi project was created by Yuanming Hu (yuanming-hu). Significant contributions are made by: - Ye Kuang (k-ye) (Apple Metal backend) - 彭于斌 (archibate) (OpenGL Compute Shader backend) - Mingkuan Xu (xumingkuan) (IR optimization & standardization)
The Simplified Chinese documentation (简体中文文档) was created by Ark (StephenArk30). Significant contributions are made by: - 彭于斌 (archibate) - Danni Li (isdanni) - Chengchen Wang (rexwangcc) - 万健洲 (ArkhamWJZ)
We welcome feedback and comments. If you would like to contribute to Taichi, please check out our Contributor Guidelines.
If you use Taichi in your research, please cite our papers: