Intel MPI on Slurm batch system is configured to support PMI process manager. It is recommended to use srun as MPI program launcher. If you prefer using mpiexec/mpirun over Hydra process manager with Slurm, please add following code to the batch script before running any MPI executable:
unset I_MPI_PMI_LIBRARY I_MPI_HYDRA_BOOTSTRAP export I_MPI_JOB_RESPECT_PROCESS_PLACEMENT=0 # the option -ppn only works if you set this before
GNU compiler versions 10+ may have C compiler errors like
/.libs/libmca_mtl_psm.a(mtl_psm_component.o): multiple definition of `mca_mtl_psm_component'
This is a common mistake in C is omitting extern when declaring a global variable in a header file. In previous GCC versions this error is ignored. GCC 10 defaults to -fno-common, which means a linker error will now be reported. It is bypassable by appending the -fcommon to compilation flags.
GNU compiler versions 10+ may have Fortran compiler errors like
Error: Type mismatch between actual argument at (1) and actual argument at (2) (REAL(4)/REAL(8))
that result in a error response during configuration
The default CPU binding for ORCA jobs can fail sporadically. The failure is almost immediate and produces a cryptic error message, e.g.
Your job utilizing openmpi/4.1.x-hpcx (or 4.1.x on Ascend) might hang while writing files on a shared file system. This issue is caused by a bug stemming from the default OMPIO I/O module and UCX library. We have identified ORCA as being affected by this problem. If you are experiencing this issue, please consider the following solutions:
A pure MPI application using mpirun or mpiexec with more ranks than the number of NUMA nodes may encounter an error similar to the following:
You may encounter the following error while running mpp-dyna jobs with multiple nodes:
When running a full-node MPI job with MVAPICH 3.0 , you may encounter the following warning message:
Users may encounter the following errors when compiling a C++ program with GCC 13:
error: 'uint64_t' in namespace 'std' does not name a type
or
Several applications using OpenMPI, including HDF5, Boost, Rmpi, ORCA, and CP2K, may fail with errors such as
mca_coll_hcoll_module_enable() coll_hcol: mca_coll_hcoll_save_coll_handlers failed
or
Caught signal 11: segmentation fault
We have identified that the issue is related to HCOLL (Hierarchical Collectives) being enabled in OpenMPI.
