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# DBCSR: Distributed Block Compressed Sparse Row matrix library
[](https://github.com/cp2k/dbcsr/actions/workflows/testing-linux.yml) [](https://github.com/cp2k/dbcsr/actions/workflows/testing-macos.yml) [](https://github.com/cp2k/dbcsr/actions/workflows/testing-gcc.yml)
[](https://codecov.io/gh/cp2k/dbcsr)
[](./LICENSE)
[](https://github.com/cp2k/dbcsr/releases)
DBCSR is a library designed to efficiently perform sparse matrix-matrix multiplication, among other operations.
It is MPI and OpenMP parallel and can exploit Nvidia and AMD GPUs via CUDA and HIP.
<p align="center">
<img src="docs/media/logo/logo.png" width="500">
</p>
## How to Install
Follow the [installation guide](https://cp2k.github.io/dbcsr/develop/page/2-user-guide/1-installation/index.html).
## Documentation
Documentation is [available online](https://cp2k.github.io/dbcsr/) for the latest release.
## How to Cite
To cite DBCSR, use the following paper
```latex
@article{dbcsr,
title = {{Sparse Matrix Multiplication: The Distributed Block-Compressed Sparse Row Library}},
journal = {Parallel Computing},
volume = {40},
number = {5-6},
year = {2014},
issn = {0167-8191},
author = {Urban Borstnik and Joost VandeVondele and Valery Weber and Juerg Hutter}
}
```
To cite the DBCSR software library, use:
```latex
@misc{dbcsr-software,
author = {The CP2K Developers Group},
title = {{DBCSR: Distributed Block Compressed Sparse Row matrix library}},
publisher = {GitHub},
journal = {GitHub repository},
year = {2022},
url = {https://github.com/cp2k/dbcsr}
}
```
## Contributing to DBCSR
Your contribution to the project is welcome!
Please see [DBCSR's contribution guidelines](./CONTRIBUTING.md) and this [wiki page](https://github.com/cp2k/dbcsr/wiki/Development). For any help, please notify the other developers.
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