The Conda packages (tagged release and nightly build) are built using
parallel HDF5:
https://github.com/conda-forge/pymeep-feedstock/blob/master/recipe/meta.yaml#L54
There is no need to install HDF5 (or any other dependency) separately.
On 7/28/20 01:06, Spam Spammer wrote:
i have installed Meep using the miniconda3 prebuild version and
created a parallel environment via the
conda create -n pmp -c conda-forge pymeep=*=mpi_mpich_*
command line. I have not installed hdf5 or anything else separately,
just the miniconda3 prebuild.
My question now is whether i still have to configure hdf5 for parallel
usage to get full use of parallel meep or is this directly done by
miniconda3.
If i run parallel simulations with about 64 cores they seem to work,
but they are slower than I expected (~1.5 days in comparison to ~ 8
day with 4 cores...).
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