SEEING
Sympy Expressions Evaluation Implemented oN the GPU
The idea is to provide the following to Sympy users:
- A simple way to evaluate an expressions on the GPU
- Backend agnostic evaluation (currently numpy and cupy are supported, in the future clpy or other numerical backends might be added)
- Support tools to handle groups of expressions (evaluate, plot, substitute parameters, share variables)
- Numerical methods (for now integration over n-dimensional domains)
Numpy/Scipy evaluation comes out of the box with Sympy, using the lambdify feature. In order to do the same on the GPU, first development effort of SEEING relies Cupy only, thus you need to have a CUDA enabled GPU to use it.
Installation
SEEING can be installed with pip:
pip install astro-seeing
For GPU usage SEEING relies on Cupy, which can be installed as a dependency with:
pip install "astro-seeing[gpu]"
Metadata
Release files for astro-seeing 1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| astro_seeing-1.2.tar.gz | 2.4 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| astro_seeing-1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 MB
Release files / astro_seeing-1.2.tar.gz
| Download URL | astro_seeing-1.2.tar.gz |
|---|---|
| Size | 2.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.12.9
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Release files / astro_seeing-1.2-py3-none-any.whl
| Download URL | astro_seeing-1.2-py3-none-any.whl |
|---|---|
| Size | 12.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Security for astro-seeing 1.2
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