taichi_benchmark
taichi
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taichi_benchmark | taichi | |
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4 | 36 | |
34 | 24,760 | |
- | 1.3% | |
4.5 | 9.1 | |
about 1 year ago | 3 days ago | |
Python | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
taichi_benchmark
- Taichi Lang: A high-performance parallel programming language embedded in Python
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I compared the performance of numerical computations facilitated by different acceleration toolkits... And here are the results!
In fact, Taichi's compiler relies on heavy underlying engineering to enable high performance. In the aforementioned code snippet, the summation is actually an atomic operation, which cannot be parallelized and is thus subject to limited operation efficiency. The most commonly used method of parallel computing optimization in vector summation is reduction, which is one of the must-have skills to learn parallel computing. The benchmark report concludes that, thanks to automatic reduction optimization implemented by its compiler, Taichi achieves a performance comparable to manually implemented CUB and way better than Numba.
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Accelerate Python code 100x by import taichi as ti
Sure, here are some benchmarks that could be helpful: https://github.com/taichi-dev/taichi_benchmark
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ETH Zürich uses Taichi Lang in its Physically-based Simulation course (AS 21)
Some are uncertain about Taichi Lang's performance against other frameworks such as CUDA, and would require a comprehensive benchmarking report. Actually, we published a systematic benchmarking report when we released Taichi Lang v1.0.0. Taichi has more or less comparable performance to CUDA. But, for sure, you will have much fewer lines of code with Taichi Lang!
taichi
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This Week In Python
taichi – Productive, portable, and performant GPU programming in Python
- Taichi: Accessible GPU programming, embedded in Python
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The GIL can now be disabled in Python's main branch
ETH Zurich is using it for their physics sim courses, University of Utah is using it for simulations (SIGGRAPH 2022), OPPO (they make smart devices running Android), Kuaishou uses it for liquid and gas simulation on GPUs. Lots of GPU accelerated sim stuff.
https://www.taichi-lang.org/
https://www.researchgate.net/publication/337118128_Taichi_a_...
https://github.com/taichi-dev/taichi
- Julia and Mojo (Modular) Mandelbrot Benchmark
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Taichi v1.5.0 Released! See what's new👇
Check our the realease note (https://github.com/taichi-dev/taichi/releases) for more improvements.
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You Don't Know Jax
I've recently started using Taichi (https://taichi-lang.org/) for numerical codes and the fact it doesn't try to trick you into thinking it's numpy is a nice "feature". ;)
- How can I get into this type of animation with programming?
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Taichi v1.4.0 released!
Taichi v1.4.0 is released! See what's new: - Taichi AOT, along with a native Taichi Runtime library: Native applications can now load compiled AOT modules and launch Taichi kernels without a Python interpreter. - Taichi ndarray: An array object that holds contiguous multi-dimensional data to allow easy data exchange with external libraries. - Dynamic index: Use variable indices whenever necessary on all backends without affecting the performance of those matrices with only constant indices. See deprecation and more improvements in the release note.
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Is Nvidia CUDA Used in VFX Software Tools?
Oh, then if you're not already tied to any particular VFX software, I might as well recommend Taichi again.
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Marching squares algorithm implemented with Taichi: Struct Taichi fields and dynamic SNodes are used to represent line segments, and linear interpolation applied to smoothen the boundaries.
It's an upgrade of a basic version. See changes to the source code here: https://github.com/taichi-dev/taichi/pull/6851
What are some alternatives?
faster-python-with-taichi
Halide - a language for fast, portable data-parallel computation
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
dolfinx - Next generation FEniCS problem solving environment
awesome-taichi - A curated list of awesome Taichi applications, courses, demos and features.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
difftaichi - 10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
copilot.vim - Neovim plugin for GitHub Copilot
open-im-server - IM Chat
qinglong - 支持 Python3、JavaScript、Shell、Typescript 的定时任务管理平台(Timed task management platform supporting Python3, JavaScript, Shell, Typescript)
codon - A high-performance, zero-overhead, extensible Python compiler using LLVM