add info on how to debug if LAMMPS seems stuck

This commit is contained in:
Axel Kohlmeyer
2025-01-08 12:16:37 -05:00
parent ae6b2d85fb
commit 24763bfd8e

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@ -235,3 +235,53 @@ from GDB. In addition you get a more specific hint about what cause the
segmentation fault, i.e. that it is a NULL pointer dereference. To find
out which pointer exactly was NULL, you need to use the debugger, though.
Debugging when LAMMPS appears to be stuck
=========================================
Sometimes the LAMMPS calculation appears to be stuck, that is the LAMMPS
process or processes are active, but there is no visible progress. This
can have multiple reasons:
- The selected styles are slow and require a lot of CPU time and the
system is large. When extrapolating the expected speed from smaller
systems, one has to factor in that not all models scale linearly with
system size, e.g. :doc:`kspace styles like ewald or pppm
<kspace_style>`. There is very little that can be done in this case.
- The output interval is not set or set to a large value with the
:doc:`thermo <thermo>` command. I the first case, there will be output
only at the first and last step.
- The output is block-buffered and instead of line-buffered. The output
will only be written to the screen after 4096 or 8192 characters of
output have accumulated. This most often happens for files but also
with MPI parallel executables for output to the screen, since the
output to the screen is handled by the MPI library so that output from
all processes can be shown. This can be suppressed by using the
``-nonblock`` or ``-nb`` command-line flag, which turns off buffering
for screen and logfile output.
- An MPI parallel calculation has a bug where a collective MPI function
is called (e.g. ``MPI_Barrier()``, ``MPI_Bcast()``,
``MPI_Allreduce()`` and so on) before pending point-to-point
communications are completed or when the collective function is only
called from a subset of the MPI processes. This also applies to some
internal LAMMPS functions like ``Error::all()`` which uses
``MPI_Barrier()`` and thus ``Error::one()`` must be called, if the
error condition does not happen on all MPI processes simultaneously.
- Some function in LAMMPS has a bug where a ``for`` or ``while`` loop
does not trigger the exit condition and thus will loop forever. This
can happen when the wrong variable is incremented or when one value in
a comparison becomes ``NaN`` due to an overflow.
In the latter two cases, further information and stack traces (see above)
can be obtain by attaching a debugger to a running process. For that the
process ID (PID) is needed; this can be found on Linux machines with the
``top``, ``htop``, ``ps``, or ``pstree`` commands.
Then running the (GNU) debugger ``gdb`` with the ``-p`` flag followed by
the process id will attach the process to the debugger and stop
execution of that specific process. From there on it is possible to
issue all debugger commands in the same way as when LAMMPS was started
from the debugger (see above). Most importantly it is possible to
obtain a stack trace with the ``where`` command and thus determine where
in the execution of a timestep this process is. Also internal data can
be printed and execution single stepped or continued. When the debugger
is exited, the calculation will resume normally.