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taichi-dev
15.5K Stars 1.6K Forks MIT License 7.4K Commits 331 Opened issues

Description

Parallel programming for everyone.

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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, 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]

|| Linux (CUDA) | OS X (10.14+) | Windows | Documentation| |:------|:-----|:-----|:-----|:-----| |Build|Build Status| Build Status | Build status| Netlify Status| |PyPI|Build Status|Build Status|Build status |

Developer Installation

Please follow this doc to learn how to build Taichi from source. Note that Taichi requires LLVM-10.0.0, and it is recommneded to use our prebuilt LLVM libraries for each platform.

Contributors

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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 related papers:

Links

Security

Please disclose security issues responsibly to [email protected]


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

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