11.3. Debugging crashes¶
If LAMMPS crashes with a “segmentation fault” or a “bus error” or similar message, then you can use the following two methods to further narrow down the origin of the issue. This will help the LAMMPS developers (or yourself) to understand the reason for the crash and apply a fix (either to the input script or the source code). This requires that your LAMMPS executable includes the required debug information. Otherwise it is not possible to look up the names of functions or variables.
The following patch will introduce a bug into the code for pair style
lj/cut when using the
We use it to show how to identify the origin of a segmentation fault.
--- a/src/pair_lj_cut.cpp +++ b/src/pair_lj_cut.cpp @@ -81,6 +81,7 @@ void PairLJCut::compute(int eflag, int vflag) int nlocal = atom->nlocal; double *special_lj = force->special_lj; int newton_pair = force->newton_pair; + double comx = 0.0; inum = list->inum; ilist = list->ilist; @@ -134,8 +135,10 @@ void PairLJCut::compute(int eflag, int vflag) evdwl,0.0,fpair,delx,dely,delz); } } - } + comx += atom->rmass[i]*x[i]; /* BUG */ + } + printf("comx = %g\n",comx); if (vflag_fdotr) virial_fdotr_compute(); }
After recompiling LAMMPS and running the input you should get something like this:
11.3.1. Using the GDB debugger to get a stack trace¶
There are two options to use the GDB debugger for identifying the origin of the segmentation fault or similar crash. The GDB debugger has many more features and options, as can be seen for example its online documentation.
Run LAMMPS from within the debugger¶
Running LAMMPS under the control of the debugger as shown below only
works for a single MPI rank (for debugging a program running in parallel
you usually need a parallel debugger program). A simple way to launch
GDB is to prefix the LAMMPS command line with
gdb --args and then
type the command “run” at the GDB prompt. This will launch the
debugger, load the LAMMPS executable and its debug info, and then run
it. When it reaches the code causing the segmentation fault, it will
stop with a message why it stopped, print the current line of code, and
drop back to the GDB prompt.
[...] Setting up Verlet run ... Unit style : lj Current step : 0 Time step : 0.005 Program received signal SIGSEGV, Segmentation fault. 0x00000000006653ab in LAMMPS_NS::PairLJCut::compute (this=0x829740, eflag=1, vflag=<optimized out>) at /home/akohlmey/compile/lammps/src/pair_lj_cut.cpp:139 139 comx += atom->rmass[i]*x[i]; /* BUG */ (gdb)
Now typing the command “where” will show the stack of functions starting from the current function back to “main()”.
(gdb) where #0 0x00000000006653ab in LAMMPS_NS::PairLJCut::compute (this=0x829740, eflag=1, vflag=<optimized out>) at /home/akohlmey/compile/lammps/src/pair_lj_cut.cpp:139 #1 0x00000000004cf0a2 in LAMMPS_NS::Verlet::setup (this=0x7e6c90, flag=1) at /home/akohlmey/compile/lammps/src/verlet.cpp:131 #2 0x000000000049db42 in LAMMPS_NS::Run::command (this=this@entry=0x7fffffffcca0, narg=narg@entry=1, arg=arg@entry=0x7e8750) at /home/akohlmey/compile/lammps/src/run.cpp:177 #3 0x000000000041258a in LAMMPS_NS::Input::command_creator<LAMMPS_NS::Run> (lmp=<optimized out>, narg=1, arg=0x7e8750) at /home/akohlmey/compile/lammps/src/input.cpp:878 #4 0x0000000000410ad3 in LAMMPS_NS::Input::execute_command (this=0x7d1410) at /home/akohlmey/compile/lammps/src/input.cpp:864 #5 0x00000000004111fb in LAMMPS_NS::Input::file (this=0x7d1410) at /home/akohlmey/compile/lammps/src/input.cpp:229 #6 0x000000000040933a in main (argc=<optimized out>, argv=<optimized out>) at /home/akohlmey/compile/lammps/src/main.cpp:65 (gdb)
You can also print the value of variables and see if there is anything unexpected. Segmentation faults, for example, commonly happen when a pointer variable is not assigned and still initialized to NULL.
(gdb) print x $1 = (double **) 0x7ffff7ca1010 (gdb) print i $2 = 0 (gdb) print x $3 = (double *) 0x7ffff6d80010 (gdb) print x $4 = 0 (gdb) print x $5 = 0.83979809569125363 (gdb) print atom->rmass $6 = (double *) 0x0 (gdb)
Inspect a core dump file with the debugger¶
When an executable crashes with a “core dumped” message, it creates a
file “core” or “core.<PID#>” which contains the information about the
current state. This file may be located in the folder where you ran
LAMMPS or in some hidden folder managed by the systemd daemon. In the
latter case, you need to “extract” the core file with the
utility to the current folder. Example:
coredumpctl -o core dump lmp.
Now you can launch the debugger to load the executable, its debug info
and the core dump and drop you to a prompt like before.
$ gdb lmp core Reading symbols from lmp... [New LWP 1928535] [Thread debugging using libthread_db enabled] Using host libthread_db library "/lib64/libthread_db.so.1". Core was generated by `./lmp -in in.melt'. Program terminated with signal SIGSEGV, Segmentation fault. #0 0x00000000006653ab in LAMMPS_NS::PairLJCut::compute (this=0x1b10740, eflag=1, vflag=<optimized out>) at /home/akohlmey/compile/lammps/src/pair_lj_cut.cpp:139 139 comx += atom->rmass[i]*x[i]; /* BUG */ (gdb)
From here on, you use the same commands as shown before to get a stack trace and print current values of (pointer) variables.
11.3.2. Using valgrind to get a stack trace¶
The valgrind suite of tools allows to closely
inspect the behavior of a compiled program by essentially emulating a
CPU and instrumenting the program while running. This slows down
execution quite significantly, but can also report issues that are not
resulting in a crash. The default valgrind tool is a memory checker and
you can use it by prefixing the normal command line with
Unlike GDB, this will also work for parallel execution, but it is
recommended to redirect the valgrind output to a file (e.g. with
--log-file=crash-%p.txt, the %p will be substituted with the
process ID) so that the messages of the multiple valgrind instances to
the console are not mixed.
$ valgrind ./lmp -in in.melt ==1933642== Memcheck, a memory error detector ==1933642== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al. ==1933642== Using Valgrind-3.15.0 and LibVEX; rerun with -h for copyright info ==1933642== Command: ./lmp -in in.melt ==1933642== LAMMPS (19 Mar 2020) OMP_NUM_THREADS environment is not set. Defaulting to 1 thread. (src/comm.cpp:94) using 1 OpenMP thread(s) per MPI task Lattice spacing in x,y,z = 1.6796 1.6796 1.6796 Created orthogonal box = (0 0 0) to (16.796 16.796 16.796) 1 by 1 by 1 MPI processor grid Created 4000 atoms create_atoms CPU = 0.032964 secs Neighbor list info ... update every 20 steps, delay 0 steps, check no max neighbors/atom: 2000, page size: 100000 master list distance cutoff = 2.8 ghost atom cutoff = 2.8 binsize = 1.4, bins = 12 12 12 1 neighbor lists, perpetual/occasional/extra = 1 0 0 (1) pair lj/cut, perpetual attributes: half, newton on pair build: half/bin/atomonly/newton stencil: half/bin/3d/newton bin: standard Setting up Verlet run ... Unit style : lj Current step : 0 Time step : 0.005 ==1933642== Invalid read of size 8 ==1933642== at 0x6653AB: LAMMPS_NS::PairLJCut::compute(int, int) (pair_lj_cut.cpp:139) ==1933642== by 0x4CF0A1: LAMMPS_NS::Verlet::setup(int) (verlet.cpp:131) ==1933642== by 0x49DB41: LAMMPS_NS::Run::command(int, char**) (run.cpp:177) ==1933642== by 0x412589: void LAMMPS_NS::Input::command_creator<LAMMPS_NS::Run>(LAMMPS_NS::LAMMPS*, int, char**) (input.cpp:881) ==1933642== by 0x410AD2: LAMMPS_NS::Input::execute_command() (input.cpp:864) ==1933642== by 0x4111FA: LAMMPS_NS::Input::file() (input.cpp:229) ==1933642== by 0x409339: main (main.cpp:65) ==1933642== Address 0x0 is not stack'd, malloc'd or (recently) free'd ==1933642==
As you can see, the stack trace information is similar to that obtained 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.