SLEPc for Python
Project description
Python bindings for SLEPc.
Install
If you have a working MPI implementation and the mpicc compiler wrapper is on your search path, it highly recommended to install mpi4py first:
$ pip install mpi4py
Ensure you have NumPy installed:
$ pip install numpy
and finally:
$ pip install petsc petsc4py slepc slepc4py
You can also install the in-development version of slepc4py with:
$ pip install git+https://bitbucket.org/petsc/petsc $ pip install git+https://bitbucket.org/petsc/petsc4py $ pip install git+https://bitbucket.org/slepc/slepc $ pip install git+https://bitbucket.org/slepc/slepc4py
or:
$ pip install https://bitbucket.org/petsc/petsc/get/master.tar.gz $ pip install https://bitbucket.org/petsc/petsc4py/get/master.tar.gz $ pip install https://bitbucket.org/slepc/slepc/get/master.tar.gz $ pip install https://bitbucket.org/slepc/slepc4py/get/master.tar.gz
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
