Hello, Let’s say I have a mesh and a function on a single processor, e.g. import numpy as np from mpi4py import MPI import dolfinx.mesh, dolfinx.fem as fem n = 100 mesh = dolfinx.mesh.create_unit_square(MPI.COMM_SELF, n, n) V = fem.FunctionSpace(mesh, ("CG", 1)) f = fem.Function(V) f.interpolate(…

You need to be more specific about what you want to do in parallel for any response to make sense. DOLFINx used MPI for parallelization, which starts at the mesh level, partitioning it over multiple processes. In turn functions are distributed wrt. that partition. Thus if you want a distributed me…

Let me add some context to clarify my question. The reason I am starting with a single processor code, is that I am loading data from a file that does not support parallel I/O. In my previous example, f can be seen as a PDE coefficient whose nodal values are stored in a csv file. In a single process…

Thank you! This is what I was looking for.

Here is my solution adapted from @dokken 's comment, in case it can help somebody in the future. This is for reading a function from a XDMF file into a MPI distributed dolfinx function. It should only work for DG0 functions with block_size=1 but the code should be straightforward to modify to handle…

Distribute sequential mesh and function

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dokken December 3, 2022, 3:29pm 4

See for instance: Gather solutions in parallel in FEniCSX - #2 by dokken

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Distribute sequential mesh and function

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