This example shows how to solve the Poisson equation with a generic source term using the CT_MultiLevel elliptic solver. Documentation for CT_MultiLevel is available. To assess the performance of the algorithm, we start by prescribing a solution phi0 (in this case, a superposition of Gaussian functions), and construct the source term by taking the Laplacian of phi0. The plots show the final solution phi (color plot), the source term (white contour surfaces) and the solution error phi-phi0 as a function of the iteration number.
Parameter file | poisson.par |
---|---|
Thornlist | ET Landau release (ET_2024_05) |
approx. memory | 32 GB |
approx. runtime | 10 min using 8 CPUs (1 node, 8 mpi tasks, and 1 cpu per task) |
Results (683MB) | poisson_20241114.tar.gz |
This example was last tested on Nov-14-2024.
This file was generated using the VisIt session file psi2.session.
To use the session file, follow these steps:
VisIt
and go to File > Restore session with sources
psi2.session
file. Note that the dialogue has two panels: Directories
and Files
. First navigate to the folder containing psi2.session
by using the panel on the left (Directories
), then click on the file itself will appear on the panel on the right (Files
). Once the session file is selected and marked blue, click the OK
button.SOURCE00
on the Source identifiers
panel (left)Source
panel (right), click on the ...
button.Directories
panel navigate to the directory where the output files of the example are stored.Files
panel, select ct_analytic-ct_test0.h5
and click the OK
button.Source identifiers
panel, click on SOURCE01
.Source
panel (right), click on the ...
button.ct_multilevel-psi.h5
file as in steps 3.3 and 3.4OK
button in the Update Sources
dialogueIt may take a few moments for VisIt
to complete its processing of the data. If the entries in the Plots
section of VisIt
's main window are yellow, it means that VisIt
is still processing the operation.
The above image is created with ploterr.py
The script works with a variable number of arguments and can plot the comparison of multiple different runs, while also labeling them by date.
To compare two runs generated in different days, rename the terr_norm_eqn0.asc
files that will be compared to the patternYYYYMMDD
and run the script passing the files as command line arguments.