FastSCODE
Project description
Indroduction
- FastSCODE: an accelerated implementation of SCODE based on manycore computing
Installation
- :snake: Anaconda is recommended to use and develop FastSCODE.
- :penguin: Linux distros are tested and recommended to use and develop FastSCODE.
Anaconda virtual environment
After installing anaconda, create a conda virtual environment for FastSCODE.
In the following command, you can change the Python version
(e.g. python=3.12).
conda create -n fastscode python=3.12
Now, we can activate our virtual environment for FastSCODE as follows.
conda activate fastscode
Install from GitHub repository
First, clone the recent version of this repository.
git clone https://github.com/cxinsys/fastscode.git
Now, we need to install FastSCODE as a module.
cd fastscode
pip install -e .
TODO
- Upload to PyPi
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