Khalid,
The rule number zero is always selected by default. If the size you look
for (message or communicator) is larger than zero then another rule will be
selected, otherwise zero is the best selection. Same thing for communicator
and size, a consistent approach from my perspective.
If you don'
George,
Thank you for your answer.
Another confusing thing is that, If I use some communicator size which does
not exist in the configuration file, some rule from the configuration file
will be used anyway.
For example, let say I have a configuration file with two communicator
sizes 5 and 16. If
Khalid,
The way we designed these rules was to define intervals in a 2 dimension
space (communicator size, message size). You should imagine these rules as
exclusive, you match them in the order defined by the configuration file
and you use the algorithm defined by the last matching rule.
Georg
There are major differences when you launch via srun vs mpirun as the OMPI
daemons provide a lot of “helper” info to the procs that they don’t get when
directly launched. We’ve tried to minimize those differences, but we can’t
necessarily get them all.
We’ve seen reports of this before, but the
Hi,
I've noticed some performance differences when using mpirun and SLURM for
job startup. Below I've included example output from the OSU bidirectional
bandwidth benchmark that seem to show a significant difference in bandwidth
for larger message sizes. I've looked at the OpenMPI FAQ for runnin
Hi Mohammad,
the error message is self explanatory.
you cannot invoke MPI functions before invoking MPI_Init or after
MPI_Finalize
the easiest way to solve your problem is to move the MPI_Init call to the
beginning of your program.
Cheers,
Gilles
On Wednesday, May 20, 2015, #MOHAMMAD ASIF KHAN
-Original Message-
>From: users [mailto:users-boun...@open-mpi.org] On Behalf Of Lev Givon
>Sent: Tuesday, May 19, 2015 10:25 PM
>To: Open MPI Users
>Subject: Re: [OMPI users] cuIpcOpenMemHandle failure when using
>OpenMPI 1.8.5 with CUDA 7.0 and Multi-Process Service
>
>Received from Rolf
Hi,
I am using caffe-parallel toolbox for deep learning. The framework has
been parallelized using mpi. For my implementation I am using Open mpi 1.6.5??.
The installation stage for openmpi goes fine but when I run the code following
error appears:
*** The MPI_Comm_rank() function was c
Thank you,
That seems to solve the problem.
Best Regards,
Nilo Menezes
On 5/19/2015 3:34 PM, Ralph Castain wrote:
It looks like you have PSM enabled cards on your system as well as
Ethernet, and we are picking that up. Try adding "-mca pml ob1" to
your cmd line and see if that helps
On Tu
