Closed leofang closed 3 years ago
Work ongoing in #6. Note that the change of the build method is necessary because
mpifort.lib
)In any case, I found MSMPI_VER
needs to be patched (mpi4py/mpi4py#19).
Closed by #6.
By switching to the binary installer, you'll be stuck with whatever gfortran version that the binary installer was compiled with and be incompatible with the rest of conda-forge.
@isuruf @leofang I believe Fortran support can be fixed by recompiling include/mpi.f90
to generate a new .mod
file.
I am raising this as an alternative possibility for discussion. This may not be a big deal since apparently MS-MPI is no longer under active development, but it's still worth keeping track of.
Currently we build MS-MPI from source (it seems to be open-sourced on GitHub since v10.0): https://github.com/conda-forge/msmpi-feedstock/blob/6bc93a33ceef2532fea5293534c613818fb36655/recipe/meta.yaml#L9 But, while we currently build v10.1.1 according to the official release v10.1.2 is already out, and yet it's not tagged on GitHub.
If we want to switch to use MS-MPI's binary distributions, mpi4py has a long history of testing all freely available MPI implementations to get a great coverage thanks to its author @dalcinl's persistence and hard work. In particular, all current and past MS-MPI versions are tested, see mpi4py's Windows CI script here. So if deemed necessary I'd say it's the easiest to start with borrowing code from mpi4py for the recipe.