Analysis Tools
Task dependencies
At the beginning of each simulation the file dependency_graph.csv is generated and can be transformed into a dot and a png file with the script tools/plot_task_dependencies.py.
It requires the dot package that is available in the library graphviz.
This script has also the possibility to generate a list of function calls for each task with the option --with-calls (this list may be incomplete).
You can convert the dot file into a png with the following command
dot -Tpng dependency_graph.dot -o dependency_graph.png or directly read it with the python module xdot with python -m xdot dependency_graph.dot.
Cell graph
An interactive graph of the cells is available with the configuration option --enable-cell-graph.
During a run, SWIFT will generate a cell_hierarchy_*.csv file per MPI rank at the frequency given by the parameter --cell-dumps=n.
The command tools/make_cell_hierarchy.sh cell_hierarchy_0000_*.csv merges the files at time step 0 together and generates the file cell_hierarchy.html
that contains the graph and can be read with your favorite web browser.
With most web browsers, you cannot access the files directly.
If it is the case, the cells will never appear (but everything else should be fine).
To solve this problem, you will need to either access them through an existing server (e.g. public http provided by your university)
or install npm and then run the following commands
npm install http-server -g
http-server .Now you can open the web page http://localhost:8080/cell_hierarchy.html.
When running a large simulation, the data loading may take a while (a few seconds for EAGLE_6).
Your browser should not be hanging, but will seems to be idle.
If you wish to add some information to the graph, you can do it by modifying the files src/space.c and tools/data/cell_hierarchy.html.
In the first one, you will need to modify the calls to fprintf in the functions space_write_cell_hierarchy and space_write_cell.
Here the code is simply writing CSV files containing all the required information about the cells.
In the second one, you will need to find the function mouseover and add the field that you have created.
You can also increase the size of the bubble through the style parameter height.
Memory usage reports
When SWIFT is configured using the --enable-memuse-reports flag it will
log any calls to allocate or free memory that make use of the
swift_memalign(), swift_malloc(), swift_calloc() and
swift_free() functions and will generate a report at the end of each
step. It will also attempt to dump the current memory use when SWIFT is
aborted by calling the error() function. Failed memory allocations will be
reported in these logs.
These functions should be used by developers when allocating significant
amounts of memory -- so don't use these for high frequency small allocations.
Each call to the swift_ functions differs to the standard calls by the
inclusion of a "label", this should match between allocations and frees and
ideally should be a short label that describes the use of the memory, i.e.
"parts", "gparts", "hydro.sort" etc.
Calls to external libraries that make allocations you'd also like to log
can be made by calling the memuse_log_allocation() function directly.
The output files are called memuse_report-step<n>.dat or
memuse_report-rank<m>-step<n>.dat if running using MPI. These have a line
for each allocation or free that records the time, step, whether an allocation
or free, the label, the amount of memory allocated or freed and the total of
all (labelled) memory in use at that time.
Comments at the end of this file also record the actual memory use of the process (including threads), as reported by the operating system at the end of the step, and the total memory still in use per label. Note this includes memory still active from previous steps and the total memory is also continued from the previous dump.