Yes MM... But here a single node has 16cores not 64 cores.
The 1st two jobs were with OMPI-1.4.5.
16 cores of single node - 3692.403
16 cores on two nodes (8 cores per node) - 12338.809
The 1st two jobs were with OMPI-1.6.5.
16 cores of single node - 3547.879
16 cores on
with OpenMPI-1.6.5 and got executed in 5527.320 seconds on two
nodes.
Is this a performance gain with OMPI-1.6.5 over OMPI-1.4.5 or an issue
with OPENMPI itself?
On Tue, Oct 15, 2013 at 5:32 PM, San B <forum@gmail.com> wrote:
> Hi,
>
> As per your instruction, I di
.
Thanks
On Mon, Oct 7, 2013 at 12:15 PM, San B <forum@gmail.com> wrote:
> Hi,
>
> I'm facing a performance issue with a scientific application(Fortran).
> The issue is, it runs faster on single node but runs very slow on multiple
> nodes. For example, a 16 core job on
Hi,
I'm facing a performance issue with a scientific application(Fortran). The
issue is, it runs faster on single node but runs very slow on multiple
nodes. For example, a 16 core job on single node finishes in 1hr 2mins, but
the same job on two nodes (i.e. 8 cores per node & remaining 8 cores
OpenMPI-1.6.1 is installed on Rocks-5.5 Linux cluster with intel
compilers and OFED-1.5.3. A sample Helloworld MPI program gives following
warning message:
/mpi/openmpi/1.6.1/intel/bin/mpirun -np 4 ./mpi
--
WARNING:
