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.
Follow the installation guide.
Documentation is available online for the latest release.
To cite DBCSR, use the following paper
@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:
@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}
}Your contribution to the project is welcome! Please see DBCSR's contribution guidelines and this wiki page. For any help, please notify the other developers.