Or use --display-map to see the process to node assignments
Sent from my iPhone
> On Mar 27, 2014, at 11:47 AM, Gus Correa <gus_at_[hidden]> wrote:
> PS - The (OMPI 1.6.5) mpiexec default is -bind-to-none,
> in which case -report-bindings won't report anything.
> So, if you are using the default,
> you can apply Joe Landman's suggestion
> (or alternatively use the MPI_Get_processor_name function,
> in lieu of uname(&uts); cpu_name = uts.nodename; ).
> However, many MPI applications benefit from some type of hardware binding, maybe yours will do also, and as a bonus
> -report-bindings will tell you where each rank ran.
> mpiexec's -tag-output is also helpful for debugging,
> but won't tell you the node name, just the MPI rank.
> You can setup a lot of these things as your preferred defaults,
> via mca parameters, and omit them from the mpiexec command line.
> The trick is to match each mpiexec option to
> the appropriate mca parameter, as the names are not exactly the same.
> "ompi-info --all" may help in that regard.
> See this FAQ:
> Again, the OMPI FAQ page is your friend! :)
> I hope this helps,
> Gus Correa
>> On 03/27/2014 02:06 PM, Gus Correa wrote:
>> Hi John
>> Take a look at the mpiexec/mpirun options:
>> -report-bindings (this one should report what you want)
>> and maybe also also:
>> -bycore, -bysocket, -bind-to-core, -bind-to-socket, ...
>> and similar, if you want more control on where your MPI processes run.
>> "man mpiexec" is your friend!
>> I hope this helps,
>> Gus Correa
>>> On 03/27/2014 01:53 PM, Sasso, John (GE Power & Water, Non-GE) wrote:
>>> When a piece of software built against OpenMPI fails, I will see an
>>> error referring to the rank of the MPI task which incurred the failure.
>>> For example:
>>> MPI_ABORT was invoked on rank 1236 in communicator MPI_COMM_WORLD
>>> with errorcode 1.
>>> Unfortunately, I do not have access to the software code, just the
>>> installation directory tree for OpenMPI. My question is: Is there a
>>> flag that can be passed to mpirun, or an environment variable set, which
>>> would reveal the mapping of ranks to the hosts they are on?
>>> I do understand that one could have multiple MPI ranks running on the
>>> same host, but finding a way to determine which rank ran on what host
>>> would go a long way in help troubleshooting problems which may be
>>> central to the host. Thanks!
>>> users mailing list
>> users mailing list
> users mailing list