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project: DBCSR
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--------------------

DBCSR stands for **D**istributed **B**locked **C**ompressed **S**parse **R**ow.

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.

To get started with DBCSR, go to

- [Installation guide](page/2-user-guide/1-installation/1-install.html)
- [User guide](page/2-user-guide/index.html)
- [Developer guide](page/3-developer-guide/index.html)

License
-------

DBCSR's source code and related files and documentation are distributed under GPL. See the [LICENSE](https://github.com/cp2k/dbcsr/blob/develop/LICENSE) file for more details.

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 = {2020},
	url = {https://github.com/cp2k/dbcsr}
}
```

Contributing
-----------------

Your contribution to the project is welcome! Please see [DBCSR's contribution guidelines](https://github.com/cp2k/dbcsr/blob/develop/CONTRIBUTING.md) and [this wiki page](https://github.com/cp2k/dbcsr/wiki/Development).
