-
- GitHub
- GitLab
- Bitbucket
-
By logging in you accept
our terms of service
and privacy policy
A parallel solver for partial differential equations using MPI
pip install parPDE==1.0.1
Parallel partial differential equation solver. Solves PDEs in parallel using MPI. Spatial derivatives are computed with simple finite differences and time evolution performed with forward difference methods. Spatial derivatives can also be computed with Fourier transforms, but this limits execution to a single process.
Currently only in 2D with first derivatives and second derivative operators available to 2nd, 4th or 6th order. Cross derivatives (d^2/dxdy) are not implemented.
Can evolve fields in time with fourth order Runge-Kutta, or solve systems of equations with successive overrelaxation. Also has two Runge-Kutta variants implemented and the split-step method popular for simulating Bose-Einstein condensates (though this method requires Fourier transforms and is hence limited to a single process)
Example of a Bose-Einstein condensate included. The example code finds the groundstate with successive overrelaxation before printing some vortices into the condensate and evolving it in time.
Try running the example with "mpirun -n python run_example.py" and then plotting it with "python plot_example.py".
Works on Python 2 and 3 (tested on 2.7 and 3.4). Requires python, numpy, scipy, h5py, cython, mpi4py an MPI implementation and matplotlib (for the plot example). If using Python < 3.4, also requires the backported 'enum34' module.
The Tidelift Subscription provides access to a continuously curated stream of human-researched and maintainer-verified data on open source packages and their licenses, releases, vulnerabilities, and development practices.
Learn more →Something wrong with this page? Make a suggestion
Export .ABOUT file for this package
Last synced: 2021-02-19 06:34:38 UTC
Login to resync this project