Online Documentation

• User Manual (HTML) (generated with Sphinx).

• User Manual (PDF) (generated with Sphinx).

• API Reference (generated with Epydoc).

Discussion and Support

• Mailing Lists: petsc-users@mcs.anl.gov, slepc-maint@upv.es

Downloads and Development

• Project Site: https://bitbucket.org/slepc/slepc4py

• Source Releases: https://bitbucket.org/slepc/slepc4py/downloads/

• Issue Tracker: https://bitbucket.org/slepc/slepc4py/issues/

• Git Repository: https://bitbucket.org/slepc/slepc4py.git

Citations

If SLEPc for Python been significant to a project that leads to an academic publication, please acknowledge that fact by citing the project.

• L. Dalcin, P. Kler, R. Paz, and A. Cosimo, Parallel Distributed Computing using Python, Advances in Water Resources, 34(9):1124-1139, 2011. http://dx.doi.org/10.1016/j.advwatres.2011.04.013

• V. Hernandez, J.E. Roman, and V. Vidal, SLEPc: A scalable and flexible toolkit for the solution of eigenvalue problems, ACM Transactions on Mathematical Software, 31(3):351-362, 2005. http://dx.doi.org/10.1145/1089014.1089019

Acknowledgments

This project was partially supported by the Extreme Computing Research Center (ECRC), Division of Computer, Electrical, and Mathematical Sciences & Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST).