Hello,
could someone give me an example of how to use parallelmesh?
I have the problem that I have 12GB of RAM, 8 CPU's, but a
mesh which has several GB (generated with tetgen). Now, if I
understood everything right, a copy of the mesh is kept on
every processor. I am reading the mesh with tetgen_io but,
the copies on the processors already exceed the 12 GB RAM.
If I use only one processor the mesh uses about 5GB.
I am using the following lines of code to read the mesh:
Mesh new_mesh;
TetGenIO TETGEN(new_mesh);
{ // read TETGEN file
OStringStream inmesh;
inmesh << mesh_dir << ReadMesh[actual_pulse]<<".ele";
TETGEN.read(inmesh.str().c_str());
}
Do I maybe have to make a change to the code to be able to
have the mesh only on one processor?
I have tried to find a solution in the example codes, such
as ex4.
((By the way, in the help-text in example 4 it says:
'The significant differences are marked with "PARALLEL
CHANGE"',but, later nothing is marked))
I have also tried to compile libmesh with --enable-parmesh
but it didn't help - I still had one copy of the mesh on
every processor.
So, I thought I might read the mesh and divide it by using
parallelmesh. But, if I use parallelmesh, how do I build an
equationsystems object then (which should be initialized
with mesh and not parallelmesh)?
I have found a post some years ago where this was already
discussed by Roy. There, he suggested to read the mesh with
one processor, divide it and write the divisions to files.
Then, when carrying out my calculation I could read these
files.
I compiled libmesh under Ubuntu 10.04 following the
instructions on
http://libmesh.sourceforge.net/wiki/index.php/Installation
in the section 'libmesh from cvs, petsc 2.3.0, slepc 2.3.0
with MPI enabled, debian'
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