OpenCL-based physics simulation package
Project description
PhysiCL is a Python module for writing physics simulations that utilize OpenCL to accelerate calculations. It includes:
- A Numpy-based code units system
- A set of generic tools for writing simulations using pre-existing features, as well as writing your own features
- A collection of tools for writing simulations involving photons and scattering.
There are a number of Jupyter notebooks in the examples folder that highlight the usage of PhysiCL. PhysiCL is best suited for scenarios where it can be parallelized, namely those involving few interactions between different objects.
Contributing
There are a number of ways you can contribute. Current tasks include:
- Improving the quality and coverage of the documentation.
- Improving the testing coverage.
- Fixing bugs.
- Adding new features.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file physicl-0.0.1.tar.gz.
File metadata
- Download URL: physicl-0.0.1.tar.gz
- Upload date:
- Size: 15.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
20b826945dc49852d441a31b8bbd2c0d357b7be0ac5a52ad567e56144d8860b9
|
|
| MD5 |
b848272ea53a90fcdb7154d3cf169fcb
|
|
| BLAKE2b-256 |
888f3bd1f432ca1502835bb6cb11e88b4f4cb0538c39afbdfe683faa55995715
|
File details
Details for the file physicl-0.0.1-py3-none-any.whl.
File metadata
- Download URL: physicl-0.0.1-py3-none-any.whl
- Upload date:
- Size: 14.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fa682de75bf1eaaa30f50d76d2303bab8c998bdbc72c8ed0e1d855d07cee2696
|
|
| MD5 |
c4a544bd20180f436257c830a6fd1a66
|
|
| BLAKE2b-256 |
5a430cd08cacd224da74e63266b71dc98b9a119d7d977c0aeb29a893b5cb0722
|