# dbcsr **Repository Path**: mdmtec/dbcsr ## Basic Information - **Project Name**: dbcsr - **Description**: No description available - **Primary Language**: Unknown - **License**: GPL-2.0 - **Default Branch**: develop - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-04-14 - **Last Updated**: 2022-08-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # DBCSR: Distributed Block Compressed Sparse Row matrix library [![Build Status](https://travis-ci.org/cp2k/dbcsr.svg?branch=develop)](https://travis-ci.org/cp2k/dbcsr) [![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) [![GitHub Releases](https://img.shields.io/github/release-pre/cp2k/dbcsr.svg)](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.

## 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.