CuPy-Xarray: Xarray on GPUs!¶
Overview¶
CuPy-Xarray is a Python library that leverages CuPy, a GPU array library, and Xarray, a library for multi-dimensional labeled array computations, to enable fast and efficient data processing on GPUs. By combining the capabilities of CuPy and Xarray, CuPy-Xarray provides a convenient interface for performing accelerated computations and analysis on large multidimensional datasets.
Installation¶
CuPy-Xarray can be installed using pip
or conda
:
From Conda Forge:
conda install cupy-xarray -c conda-forge
From PyPI:
pip install cupy-xarray
The latest version from Github:
pip install git+https://github.com/xarray-contrib/cupy-xarray.git
Acknowledgements¶
Large parts of this documentations comes from SciPy 2023 Xarray on GPUs tutorial and this NCAR tutorial to GPUs.
Contents¶
User Guide:
Tutorials & Presentations:
Contributing:
Reference: