Python bindings for PETSc.
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
You can also install the in-development version of petsc4py with:
$ pip install Cython numpy mpi4py $ pip install --no-deps git+https://bitbucket.org/petsc/petsc $ pip install --no-deps git+https://bitbucket.org/petsc/petsc4py
or:
$ pip install Cython numpy mpi4py $ pip install --no-deps https://bitbucket.org/petsc/petsc/get/master.tar.gz $ pip install --no-deps https://bitbucket.org/petsc/petsc4py/get/master.tar.gz
If PETSc 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
- S. Balay, S. Abhyankar, M. Adams, J. Brown, P. Brune, K. Buschelman, L. Dalcin, A. Dener, V. Eijkhout, W. Gropp, D. Karpeyev, D. Kaushik, M. Knepley, D. May, L. Curfman McInnes, R. Mills, T. Munson, K. Rupp, P. Sanan, B. Smith, S. Zampini, H. Zhang, and H. Zhang, PETSc Users Manual, ANL-95/11 - Revision 3.12, 2019. http://www.mcs.anl.gov/petsc/petsc-current/docs/manual.pdf