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### 2 Code Distribution

AMG4PSBLAS is available from the web site

> https://psctoolkit.github.io/products/amg4psblas/

where contact points for further information can be also found. The software is available under a modified BSD license, as specified in Appendix A; please note that some of the optional third party libraries may be licensed under a different and more stringent license, most notably the GPL, and this should be taken into account when treating derived works.

The library defines a version string with the constant

whose current value is 1.2.

#### Development team

The main development team for AMG4PSBLAS is:

- Pasqua D’Ambra, IAC-CNR, IT;

- Fabio Durastante, University of Pisa and IAC-CNR, IT;

- Salvatore Filippone, University of Rome Tor-Vergata and IAC-CNR, IT;

Other contributors:

- Luca Pep è Sciarria;

- Andea Di Iorio;

- Zaak Beekman;

- Ambra Abdullahi Hassan.

#### Citing AMG4PSBLAS

When using the library, please cite the following:

    @article {MR4331965,
         AUTHOR = {D’Ambra, Pasqua and Durastante, Fabio and Filippone, Salvatore},
         TITLE = {A{MG} preconditioners for linear solvers towards extreme
                scale},
         JOURNAL = {SIAM J. Sci. Comput.},
         FJOURNAL = {SIAM Journal on Scientific Computing},
         VOLUME = {43},
         YEAR = {2021},
         NUMBER = {5},
         PAGES = {S679--S703},
         ISSN = {1064-8275,1095-7197},
         MRCLASS = {65F50 (65F08 65F10 65N55 65Y05)},
         MRNUMBER = {4331965},
         MRREVIEWER = {Yongzhong\ Song},
         DOI = {10.1137/20M134914X},
    }

    @Misc{psctoolkit-web-page,
           author = {D’Ambra, Pasqua and Durastante, Fabio and Filippone, Salvatore},
           title =  {{PSCToolkit} {W}eb page},
           url =    {https://psctoolkit.github.io/},
           howpublished = {\url{https://psctoolkit.github.io/}},
           year = {2021}
         }

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