On 2/16/22 10:44, Uclus Heis wrote:
It seems this "solution.h5" instead of f_output was a misspelling mistake, I
have right f_output in my code. I can see that the problem here is that there
are processes without cells, which may be a bug of my implementation as I
would like to use all the
Dear Wolfgang,
It seems this "solution.h5" instead of f_output was a misspelling mistake,
I have right f_output in my code. I can see that the problem here is that
there are processes without cells, which may be a bug of my implementation
as I would like to use all the processes. How does
Thank you for the suggestions. I updated the code as you mentioned. I do not
fully understand what you mentioned about that I am not writing into the
f_output stream.
In the code snippet you showed, you are always writing to "solution.h5", not
to the f_output stream.
Is
Dear Wolfgang,
Thank you for the suggestions. I updated the code as you mentioned. I do
not fully understand what you mentioned about that I am not writing into
the f_output stream. Is data_out.write_hdf5_parallel() not writing the
data? However, I still have the error when running more than
Uclus,
the usual style is to create the DataOut object every time you are writing
into a file, and then let the variable die at the end of the scope again,
rather than keeping it around for the next time you want to create output. You
might want to take a look at how time dependent programs
Dear Timo,
Thank you for the comments.
I am doing now one file per iteration. However, when running with mpirun
more tha 1 MPI ranks I get an error in the writing function.
My code right now looks :
DataOut data_out;
data_out.attach_dof_handler(dof_handler);
for(int freq_iter=0 ... )
What we do typically in this situation is that we write one visualization
output file per iteration with a different filename. This is done in many
of the examples, especially for time dependent problems.
I don't think there is an easy way to append data to an existing file like
you suggested.
Thank you very much for the answer.
I need to evaluate a high number of frequencies, so in that case I would
need to have a large number of vectors to track the results, which is not
optimal in my case.
Is it any other way to do that? Would be possible to call
data_out.add_data_vector()
and
The call to data_out.add_data_vector() does not copy the contents of the
vector but it just keeps track of it until the data is actually written.
You will need to store your solutions in different vectors without touching
the old ones.
On Tue, Feb 15, 2022, 11:05 Uclus Heis wrote:
> Good
Good afternoon,
I want to store my results in a hdf5 file using a distributed
implementation. I am computing different frequencies, so I have a loop in
my run() function where I solve for each frequency. When for example
computing 5 frequencies, I get 5 results with the same value in my hdf5
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