/taichi

Parallel programming for everyone.

Primary LanguageC++MIT LicenseMIT

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Overview

Taichi (太极) is a parallel programming language for high-performance numerical computations. It is embedded in Python, and its just-in-time compiler offloads compute-intensive tasks to multi-core CPUs and massively parallel GPUs.

Advanced features of Taichi include spatially sparse computing, differentiable programming [examples], and quantized computation.

Please check out our SIGGRAPH 2020 course on Taichi basics: YouTube, Bilibili, slides (pdf).

中文视频教程: [哔哩哔哩], [幻灯片]

Examples (More...)

Installation Downloads

python3 -m pip install taichi

Supported OS: Windows, Linux, Mac OS X; Python: 3.6-3.9 (64-bit only); Backends: x64 CPUs, CUDA, Apple Metal, Vulkan, 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:

Contributing

We'd love to hear your comments or any of your feedback! If you would like to contribute to Taichi, please check out the Contribution Guidelines first.

Contributors

Note: contributor avatars above are randomly shuffled.


If you use Taichi in your research, please cite related papers:

Links

Security

Please disclose security issues responsibly to security@taichi.graphics.


1. TaichiZoo is still in its Beta version. If you've encountered any issue, please do not hesitate to file a bug.