warp
awesome-cython
| warp | awesome-cython | |
|---|---|---|
| 4 | 1 | |
| 1,690 | 46 | |
| 4.8% | - | |
| 9.7 | 0.0 | |
| 11 days ago | over 1 year ago | |
| Python | ||
| GNU General Public License v3.0 or later | - |
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warp
- Warp 0.5.0 is out! A Python framework for high performance GPU simulation and graphics
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Options for GPU accelerated python experiments?
About to embark on some physics simulation experiments and am hoping to get some input on available options for making use of my GPU through Python: Currently reading the docs for NVIDIA Warp, and CUDA python but would appreciate any other pointers on available packages or red flags on packages that are more hassle than they are worth to learn.
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Cython Is 20
I would recommend using NanoBind, the follow up of PyBind11 by the same author (Wensel Jakob), and move as much performance critical code to C or C++. https://github.com/wjakob/nanobind
If you really care about performance called from Python, consider something like NVIDIA Warp (Preview). Warp jits and runs your code on CUDA or CPU. Although Warp targets physics simulation, geometry processing, and procedural animation, it can be used for other tasks as well. https://github.com/NVIDIA/warp
Jax is another option, by Google, jitting and vectorizing code for TPU, GPU or CPU. https://github.com/google/jax
awesome-cython
What are some alternatives?
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
nanobind - nanobind: tiny and efficient C++/Python bindings
epython - EPython is a typed-subset of the Python for extending the language new builtin types and methods
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
prysm - physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
spacy-experimental - 🧪 Cutting-edge experimental spaCy components and features
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
avendish - declarative polyamorous cross-system intermedia objects