# taichi **Repository Path**: btgws/taichi ## Basic Information - **Project Name**: taichi - **Description**: Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-06-21 - **Last Updated**: 2021-06-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
[](https://travis-ci.com/taichi-dev/taichi) [](https://ci.appveyor.com/project/yuanming-hu/taichi/branch/master) [](https://hub.docker.com/r/taichidev/taichi) [](https://codecov.io/gh/taichi-dev/taichi/src/master) [](https://github.com/taichi-dev/taichi/releases/latest) ## 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](https://taichi.readthedocs.io/en/latest/sparse.html) and [differentiable programming](https://taichi.readthedocs.io/en/latest/differentiable_programming.html) [[examples]](https://github.com/yuanming-hu/difftaichi).
**Please check out our SIGGRAPH 2020 course on Taichi basics:** [YouTube](https://youtu.be/Y0-76n3aZFA), [Bilibili](https://www.bilibili.com/video/BV1kA411n7jk/), [slides (pdf)](https://yuanming.taichi.graphics/publication/2020-taichi-tutorial/taichi-tutorial.pdf).
**中文视频教程:** [[哔哩哔哩]](https://www.bilibili.com/video/BV1gA411j7H5), [[幻灯片]](https://yuanming.taichi.graphics/publication/2020-taichi-tutorial/taichi-tutorial.pdf)
## Examples ([More...](misc/examples.md))
## Installation [](https://pepy.tech/project/taichi)
```bash
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:**
- 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](https://aka.ms/vs/16/release/vc_redist.x64.exe) if you haven't.
- [[All releases]](https://github.com/taichi-dev/taichi/releases)
|| **Linux (CUDA)** | **OS X (10.14+)** | **Windows** | **Documentation**|
|:------|:-----|:-----|:-----|:-----|
|**Build**|[](http://f11.csail.mit.edu:8080/job/taichi/)| [](https://travis-ci.com/taichi-dev/taichi) | [](https://ci.appveyor.com/project/yuanming-hu/taichi/branch/master)| [](http://taichi.readthedocs.io/en/latest/?badge=latest)|
|**PyPI**|[](https://travis-ci.com/yuanming-hu/taichi-wheels-test)|[](https://travis-ci.com/yuanming-hu/taichi-wheels-test)|[](https://ci.appveyor.com/project/yuanming-hu/taichi-wheels-test) |
## Contributors
-------------------------------
We welcome feedback and comments. If you would like to contribute to Taichi, please check out our [Contributor Guidelines](https://taichi.readthedocs.io/en/latest/contributor_guide.html).
If you use Taichi in your research, please cite our papers:
- [**(SIGGRAPH Asia 2019) Taichi: High-Performance Computation on Sparse Data Structures**](https://yuanming.taichi.graphics/publication/2019-taichi/taichi-lang.pdf) [[Video]](https://youtu.be/wKw8LMF3Djo) [[BibTex]](https://raw.githubusercontent.com/taichi-dev/taichi/master/misc/taichi_bibtex.txt) [[Code]](https://github.com/taichi-dev/taichi)
- [**(ICLR 2020) DiffTaichi: Differentiable Programming for Physical Simulation**](https://arxiv.org/abs/1910.00935) [[Video]](https://www.youtube.com/watch?v=Z1xvAZve9aE) [[BibTex]](https://raw.githubusercontent.com/taichi-dev/taichi/master/misc/difftaichi_bibtex.txt) [[Code]](https://github.com/yuanming-hu/difftaichi)
## Links
- [Taichi Conference](https://github.com/taichi-dev/taichicon): Taichi developer conferences.
- [GAMES 201 Lectures](https://github.com/taichi-dev/games201): (Chinese) A hands-on course on building advanced physics engines, based on Taichi.
- [More...](misc/links.md)