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About the developer

taichi-dev
14.7K Stars 1.5K Forks MIT License 7.0K Commits 268 Opened issues

Description

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); 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| Documentation Status| |PyPI|Build Status|Build Status|Build status |

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

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