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https://github.com/cp2k/dbcsr

DBCSR: Distributed Block Compressed Sparse Row matrix library
https://github.com/cp2k/dbcsr

blas cp2k cuda gemm hpc linear-algebra matrix-multiplication mpi openmp-parallelization sparse-matrix

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DBCSR: Distributed Block Compressed Sparse Row matrix library

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# DBCSR: Distributed Block Compressed Sparse Row matrix library

[![Build Status Linux](https://github.com/cp2k/dbcsr/actions/workflows/testing-linux.yml/badge.svg)](https://github.com/cp2k/dbcsr/actions/workflows/testing-linux.yml) [![Build Status MacOS](https://github.com/cp2k/dbcsr/actions/workflows/testing-macos.yml/badge.svg)](https://github.com/cp2k/dbcsr/actions/workflows/testing-macos.yml) [![Build Status Latest GCC](https://github.com/cp2k/dbcsr/actions/workflows/testing-gcc.yml/badge.svg)](https://github.com/cp2k/dbcsr/actions/workflows/testing-gcc.yml)

[![codecov](https://codecov.io/gh/cp2k/dbcsr/branch/develop/graph/badge.svg)](https://codecov.io/gh/cp2k/dbcsr)
[![Licence](https://img.shields.io/badge/license-GPL%20v2.0-blue.svg)](./LICENSE)
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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.



## 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.