Linux (CUDA)	OS X	Chat

# CPU only. No GPU/CUDA needed
python3 -m pip install taichi-nightly

# With GPU (CUDA 10.0) support
python3 -m pip install taichi-nightly-cuda-10-0

# With GPU (CUDA 10.1) support
python3 -m pip install taichi-nightly-cuda-10-1

High-Performance Computation on Sparse Data Structures [Paper] [Video] [Language Details] [Taichi Compiler Developer Installation]

Examples

Updates

• (Oct 30, 2019) v0.0.72 released. Update highly recommended.
  • LLVM GPU backend now as fast as the legacy (yet optimized) CUDA backend. To enable, export TI_LLVM=1;
  • Bug fixes: LLVM struct for list generation.
• (Oct 29, 2019) v0.0.71 released. LLVM GPU backend performance greatly improved. Frontend compiler now emits readable syntax error messages.
• (Oct 28, 2019) v0.0.70 released. This version comes with experimental LLVM backends for x86_64 and CUDA (via NVVM/PTX). GPU kernel compilation speed is improved by 10x. To enable, update the taichi package and export TI_LLVM=1.
• (Oct 24, 2019) Python wheels (v0.0.61) released for Python 3.6/3.7 and CUDA 10.0/10.1 on Ubuntu 16.04+. Contributors of this release include Yuanming Hu, robbertvc, Zhoutong Zhang, Tao Du, Srinivas Kaza, and Kenneth Lozes.
• (Oct 22, 2019) Added support for kernel templates. Kernel templates allow users to pass in taichi tensors and compile-time constants as kernel parameters.
• (Oct 9, 2019) Compatibility improvements. Added a basic PyTorch interface. [Example].

Notes:

• You still need to clone this repo for demo scripts under examples. You do not need to execute install.py or dev_setup.py. After installation using pip you can simply go to examples and execute, e.g., python3 mpm.py.
• Make sure you have clang-7. On Ubuntu 18.04 you can install it with sudo apt-get install clang-7. See here for installing clang-7 on Ubuntu 16.04. You will also need g++-7 on Ubuntu16.04 (for c++17 headers).

Ubuntu 16.04 only

sudo apt-get install -y software-properties-common sudo add-apt-repository ppa:ubuntu-toolchain-r/test sudo apt update sudo apt install g++-7 -y

- Make sure you clear your legacy Taichi installation (if applicable) by cleaning the environment variables (delete `TAICHI_REPO_DIR`, and remove legacy taichi from `PYTHONPATH`) in your `.bashrc` or `.zshrc`. Or you can simply do this in your shell to temporarily clear them:

export PYTHONPATH= export TAICHI_REPO_DIR=

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#  The Taichi Library [[Legacy branch]](https://github.com/yuanming-hu/taichi/tree/legacy)
**Taichi** is an open-source computer graphics library that aims to provide easy-to-use infrastructures for computer graphics R&D. It's written in C++14 and wrapped friendly with Python.

## News
- May 17, 2019: [Giga-Voxel SPGrid Topology Optimization Solver](https://github.com/yuanming-hu/spgrid_topo_opt) is released!
- March 4, 2019: [MLS-MPM/CPIC solver](https://github.com/yuanming-hu/taichi_mpm) is now MIT-licensed!
- August 14, 2018: [MLS-MPM/CPIC solver](https://github.com/yuanming-hu/taichi_mpm) reloaded! It delivers 4-14x performance boost over the previous state of the art on CPUs.

<img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/topopt/bird-beak.gif">

<img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/water_wheel.gif"> <img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/sand_paddles.gif">
<img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/armodillo.gif" style=""> <img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/debris_flow.gif">
<img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/sand-sweep.gif"> <img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/sand_stir.gif">
<img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/bunny.gif"> <img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/robot_forward.gif">
<img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/banana.gif"> <img src="https://github.com/yuanming-hu/public_files/raw/master/graphics/mls-mpm-cpic/cheese.gif">

## [Getting Started (Legacy)](https://taichi.readthedocs.io/en/latest/installation.html#)