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Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs

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Overview

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.

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

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: 3.6/3.7/3.8 (64-bit only)/3.9 (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:

Linux (CUDA) OS X (10.14+) Windows Documentation
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Contributors


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:

Links

Security

Please disclose security issues responsibly by contacting contact@taichi.graphics.

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Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs

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  • C++ 71.5%
  • Python 25.4%
  • C 1.1%
  • CMake 0.8%
  • Cuda 0.6%
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