Some notes about this release: - Because conda is a dreary pain in the behind, it appears to be necessary to specify `conda install --channel conda-forge fipy=3.4` otherwise fipy 3.3 takes precedence for some reason. - PETSc supports Py3k in parallel (as well as Python 2.7). - PyTrilinos is available from conda-forge for Python 2.7. In principle, it works with Py3k as well, but we won't be attempting to build it to find out. - On Python 2.7, PETSc and PyTrilinos have comparable performance. Unfortunately, this performance lags serial PySparse by a considerable margin. Serial SciPy lags them all. See https://www.ctcms.nist.gov/fipy/documentation/USAGE.html#solving-in-parallel for discussion. Until we can sort this out, we won't be (willingly) dropping support for Python 2.
> On Jan 29, 2020, at 8:51 AM, Guyer, Jonathan E. Dr. (Fed) via fipy > <FIPY@nist.gov> wrote: > > We are pleased to announce the release of FiPy 3.4. > > http://www.ctcms.nist.gov/fipy > > This release adds support for the PETSc solvers for solving in parallel. > > Pulls > ----- > > - Add support for PETSc solvers (#701) > - Assorted fixes while supporting PETSc (#700) > - Fix print statements for Py3k > - Resolve Gmsh issues > - Dump only on processor 0 > - Only write `timetests` on processor 0 > - Fix conda-forge link > - Upload PDF > - Document `print` option of `FIPY_DISPLAY_MATRIX` > - Use legacy numpy formatting when testing individual modules > - Switch to matplotlib's built-in symlog scaling > - Clean up tests > - Assorted fixes for benchmark 8 (#699) > - Stipulate `--force` option for `conda remove fipy` > - Update Miniconda installation url > - Replace `_CellVolumeAverageVariable` class with `Variable` expression > - Fix output for bad call stack > - Make CircleCI build docs on Py3k (#698) > - Fix link to Nick Croft's thesis (#681) > - Fix NIST header footer (#680) > - Use Nixpkgs version of FiPy expression (#661) > - Update the Nix recipe (#658) > > Fixes > ----- > > - #692: Can't copy example scripts with the command line > - #669: input() deadlock on parallel runs > - #643: Automate release process > > > ======================================================================== > > FiPy is an object oriented, partial differential equation (PDE) solver, > written in Python, based on a standard finite volume (FV) approach. The > framework has been developed in the Metallurgy Division and Center for > Theoretical and Computational Materials Science (CTCMS), in the Material > Measurement Laboratory (MML) at the National Institute of Standards and > Technology (NIST). > > The solution of coupled sets of PDEs is ubiquitous to the numerical > simulation of science problems. Numerous PDE solvers exist, using a variety > of languages and numerical approaches. Many are proprietary, expensive and > difficult to customize. As a result, scientists spend considerable > resources repeatedly developing limited tools for specific problems. Our > approach, combining the FV method and Python, provides a tool that is > extensible, powerful and freely available. A significant advantage to > Python is the existing suite of tools for array calculations, sparse > matrices and data rendering. > > The FiPy framework includes terms for transient diffusion, convection and > standard sources, enabling the solution of arbitrary combinations of > coupled elliptic, hyperbolic and parabolic PDEs. Currently implemented > models include phase field treatments of polycrystalline, dendritic, and > electrochemical phase transformations as well as a level set treatment of > the electrodeposition process. > > > _______________________________________________ > fipy mailing list > fipy@nist.gov > http://www.ctcms.nist.gov/fipy > [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ] > > _______________________________________________ > fipy mailing list > fipy@nist.gov > http://www.ctcms.nist.gov/fipy > [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ] _______________________________________________ fipy mailing list fipy@nist.gov http://www.ctcms.nist.gov/fipy [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ]
