domain | taichi-lang.cn |
summary | The document is a comprehensive and detailed summary of the various projects, benchmarks, developments related to TAichi (a Python library for interactive simulation), its applications in different fields such as LBM, SuperSodaSea with SLAM using python's CCuda, integration into Material Point Method by Gabriel Huau among others. The text also emphasizes on Taichi being successfully used across platforms like iOS and Android. It further highlights that TAichi is a project of interest to the broader community including developers from Y-tech AI, OPPO senior engineering manager etc.
It underlines its recognition in various events such as SIGGRAPH 2021 for easier integration within Material Point Method thus enabling less computational dissipation with an aim at making this process more accessible. The document also mentions TAichi's availability on different platforms like PC and mobile devices (iOS, Android).
In addition to the technical aspects of Taichi it provides important contact information including social media handles such as bilibili twitter & communitytaichi.graphics along with a note that all rights for the content are reserved under 2022. The document also points out ongoing work on GitHub and encourages users experiencing any issues or PR bugs through 'Taichi Office Hours'. A cheatsheet in Taichi Lang EN is mentioned indicating resources available to understand its application further.
The text suggests an engaging community of developers interested in using TAichi for their projects across different platforms, including games as denoted by the 200 reference. The document also emphasizes on maintaining quality and up-to-date information with regular updates such as 'Taichi Benchmarks' which presumably includes performance comparisons between various tools like NumPy, PyTorch, TensorFlow etc used alongside Taichi.
In conclusion this summary is a detailed presentation of an open-source project - TAichi providing key details about its application across different sectors. It also highlights the fact that it's not just being developed but it has already found significant use cases in fields such as interactive simulations (e.g., Siggraph 2021), gaming, AI etc and further invites other potential developers to contribute or learn from their ongoing work using platforms like GitHub while providing support through 'Taichi Office Hours'. |
title | Taichi Programming Language-Open Source Parallel Computing Framework |
description | Taichi programming language is an open source parallel programming language embedded in Python. It has simple syntax, easy to get started, and efficient operation. It can greatly improve the productivity of parallel programming. Its application scenarios cover many high-performance computing fields such as visual effects, game physics, virtual reality, artificial intelligence, and robotics. |
keywords | taichi, python, gallery, slam, benchmarks, integration, material, point, method, scheme, separation, dissipation, tech, gabriel, senior, engineering, manager |
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nslookup | A 180.163.146.116 |
created | 2025-08-23 |
updated | 2025-08-23 |
summarized | 2025-08-24 |
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