COFFEE is an MPI-Parallelised Python package for the numerical evolution of time-dependent differential equations.
Project description
COFFEE
COFFEE is an MPI-Parallelised Python package for the numerical evolution of time-dependent differential equations.
Installation
There are four versions of COFFEE, which can include MPI and/or JAX capabilities. These can be installed via
pip install coffeegrinder
pip install coffeegrinder[MPI]
pip install coffeegrinder[JAX]
pip install coffeegrinder[MPI-JAX]
Getting started
There is a systems directory that includes commented test cases for the 1D advection equation with a mixture of finite-differencing operators and boundary imposition methods.
Note
This project has been set up using PyScaffold 4.4. For details and usage information on PyScaffold see https://pyscaffold.org/.
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
File details
Details for the file coffeegrinder-0.3.3.tar.gz
.
File metadata
- Download URL: coffeegrinder-0.3.3.tar.gz
- Upload date:
- Size: 105.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 562031bf4c3eb3c4d14f686d9e0824c4e59a7e2887a09c9e47d60ac72a41b8ac |
|
MD5 | efc34465a0bb4cf803aa604c5fa974c4 |
|
BLAKE2b-256 | ee3193107c2879ef19cc6a861bec92e84b7f62f434bcb88f06fd700715260f42 |
File details
Details for the file coffeegrinder-0.3.3-py3-none-any.whl
.
File metadata
- Download URL: coffeegrinder-0.3.3-py3-none-any.whl
- Upload date:
- Size: 96.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | caf53be00870d3a572bc0da42d30ef155d8217925d4d27f35b22cf0588e6ce6e |
|
MD5 | 611ed423775187c337d0b682792175a8 |
|
BLAKE2b-256 | 3c589180d53ee56ccb5b0baa5a882e68d4c9bce7d26674b41edde4816533c871 |