taichi
Productive, portable, and performant GPU programming in Python. (by taichi-dev)
BlackHoleRayMarching | taichi | |
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2 | 36 | |
39 | 24,838 | |
- | 0.8% | |
0.0 | 9.1 | |
over 2 years ago | 8 days ago | |
Python | C++ | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
BlackHoleRayMarching
Posts with mentions or reviews of BlackHoleRayMarching.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-28.
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Taichi user theAfish simulates a non-rotating Schwarzschild black hole and its accretion disk via ray marching. Semi-implicit Euler method is used and general relativity involved to simulate the light paths. See source code: https://github.com/theAfish/BlackHoleRayMarching/blob/master/main.py
Clickable link https://github.com/theAfish/BlackHoleRayMarching/blob/master/main.py
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From molecular simulation to black hole rendering - Taichi-Lang makes life easier for digital content creators
Some users are quite ambitious - in a good way :). For example, theAfish simulates a black hole accredition disk based on ray marching (regardless of rotation in this case). General relativity is also involved here - what a bonus!
taichi
Posts with mentions or reviews of taichi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-17.
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This Week In Python
taichi โ 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 new๐
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