Intel® MPI Library
Get help with building, analyzing, optimizing, and scaling high-performance computing (HPC) applications.
2153 Discussions

[cu03:3681 :0:3681] Caught signal 11 (Segmentation fault: address not mapped to object at address 0x

Jervie
Novice
5,204 Views

Settings:

Software: WRF version 4.1 compiled with icc, ifort, mpiicc and mpiifort

Intel MPI Version: oneapi/mpi/2021.2.0

OFED Version: version5.3

UCX Version: UCT version=1.10.0 revision 7477e81

Launch Parameter: 

source /opt/intel/oneapi/setvars.sh intel64

ulimit -l unlimited
ulimit -s unlimited

export WRFIO_NCD_LARGE_FILE_SUPPORT=1
export KMP_STACKSIZE=20480000000

export I_MPI_FABRICS=shm:ofi
export FI_PROVIDER=mlx
export I_MPI_OFI_LIBRARY_INTERNAL=1
export I_MPI_PIN_RESPECT_HCA=enable

export OMP_NUM_THREADS=4

mpirun -np 64 -machinefile hostfile ./wrf.exe

Error message:

Timing for Writing wrfout/wrfout_d01_2020-07-14_12:00:00 for domain 1: 2.01455 elapsed seconds
Input data is acceptable to use: wrfbdy_d01
Timing for processing lateral boundary for domain 1: 0.37036 elapsed seconds
[cu03:3681 :0:3681] Caught signal 11 (Segmentation fault: address not mapped to object at address 0x7fff85190ab0)
==== backtrace (tid: 3681) ====
0 0x0000000000056d69 ucs_debug_print_backtrace() ???:0
1 0x0000000000012dd0 .annobin_sigaction.c() sigaction.c:0
2 0x000000000145c55b solve_em_() ???:0
3 0x00000000012b4e40 solve_interface_() ???:0
4 0x000000000057c76b module_integrate_mp_integrate_() ???:0
5 0x0000000000417171 module_wrf_top_mp_wrf_run_() ???:0
6 0x0000000000417124 MAIN__() ???:0
7 0x00000000004170a2 main() ???:0
8 0x00000000000236a3 __libc_start_main() ???:0
9 0x0000000000416fae _start() ???:0
=================================

 

Information that maybe useful:

$ucx_info -d | grep Transport

# Transport: posix
# Transport: sysv
# Transport: self
# Transport: tcp
# Transport: tcp
# Transport: rc_verbs
# Transport: rc_mlx5
# Transport: dc_mlx5
# Transport: ud_verbs
# Transport: ud_mlx5
# Transport: cma
# Transport: knem

$ibstat

CA 'mlx5_0'
CA type: MT4123
Number of ports: 1
Firmware version: 20.30.1004
Hardware version: 0
Node GUID: 0xb8cef60300025b8c
System image GUID: 0xb8cef60300025b8c
Port 1:
State: Active
Physical state: LinkUp
Rate: 200
Base lid: 1
LMC: 0
SM lid: 19
Capability mask: 0x2651e84a
Port GUID: 0xb8cef60300025b8c
Link layer: InfiniBand

 

Attached please find the logs generated with setting "export I_MPI_DEBUG=10".

Any suggestions are appreciated!

Labels (1)
0 Kudos
6 Replies
SantoshY_Intel
Moderator
5,179 Views

Hi, 

 

Thanks for reaching out to us.

Could you please provide your cpu information by using the below command:

cpuinfo -g

We need the cluster information i.e how many nodes are being used?

Also, could you please check whether you are able to run any other MPI application on your cluster other than WRF?

 

Best Regards,

Santosh

 

0 Kudos
Jervie
Novice
5,146 Views

Hi Santosh,

Sorry for the late reply. The issue was resolved by setting

 

ulimit -l unlimited
ulimit -s unlimited

export KMP_STACKSIZE=20480000000

 

in every compute node. Since I run wrf.exe as root before, and the compute nodes didn't share the environment settings. 

 

However, I have another question. Since I'm using "Intel(R) Xeon(R) Platinum 8358, 64 cores per socket", I wonder if there are any compiler options I could add to improve the performance of WRF on Ice Lake platform and to fully utilize the Ice Lake CPU?

 

As I saw on this page https://infohub.delltechnologies.com/p/intel-ice-lake-bios-characterization-for-hpc/

WRF delivered much performance improvement on Ice Lake platform compared to Cascade Lake platform.

 

wrf.png 

0 Kudos
Bernard
Valued Contributor I
5,168 Views

 

It seems, that the faulting IP is located at frame #2 0x000000000145c55b solve_em_() ???:0.

This address looks like a stack address space: 0x7fff85190ab0.

If it is possible the coredump (if collected) may be helpful in further analysis.

 

 

0 Kudos
Jervie
Novice
5,145 Views

Hi, 

Yes, it is a stack size issue. The issue was solved by setting

 

ulimit -l unlimited
ulimit -s unlimited

export KMP_STACKSIZE=20480000000

 

in every compute node. Since I run wrf.exe as root before,  the compute nodes didn't share the environment settings. 

 

Thank you!

0 Kudos
Bernard
Valued Contributor I
5,125 Views

You are welcome!!

Glad that you solved the issue of limited stack size.

0 Kudos
SantoshY_Intel
Moderator
5,099 Views

Hi,

 

Glad that your issue has been resolved.

 

As your primary question got resolved, we suggest you raise a new thread for further queries/issues. Since your new issue is related to compiling/building an application, we recommend you to post a new question in the below link:

Intel® C++ Compiler - Intel Community

If you have any further queries related to multi-node performance issues post a new thread in the below link:

Intel® oneAPI HPC Toolkit - Intel Community.

 

As your primary issue has been resolved, we will no longer respond to this thread. If you require additional assistance from Intel, please start a new thread. Any further interaction in this thread will be considered community only.

 

Have a good day!

 

Thanks & Regards,

Santosh

 

0 Kudos
Reply