Great! Would you mind showing the revised table? I'm curious as to the relative 
performance.


On Jun 11, 2013, at 4:53 PM, eblo...@1scom.net wrote:

> Problem solved. I did not configure with --with-mxm=/opt/mellanox/mcm and
> this location was not auto-detected.  Once I rebuilt with this option,
> everything worked fine. Scaled better than MVAPICH out to 800. MVAPICH
> configure log showed that it had found this component of the OFED stack.
> 
> Ed
> 
> 
>> If you run at 224 and things look okay, then I would suspect something in
>> the upper level switch that spans cabinets. At that point, I'd have to
>> leave it to Mellanox to advise.
>> 
>> 
>> On Jun 11, 2013, at 6:55 AM, "Blosch, Edwin L" <edwin.l.blo...@lmco.com>
>> wrote:
>> 
>>> I tried adding "-mca btl openib,sm,self"  but it did not make any
>>> difference.
>>> 
>>> Jesus’ e-mail this morning has got me thinking.  In our system, each
>>> cabinet has 224 cores, and we are reaching a different level of the
>>> system architecture when we go beyond 224.  I got an additional data
>>> point at 256 and found that performance is already falling off. Perhaps
>>> I did not build OpenMPI properly to support the Mellanox adapters that
>>> are used in the backplane, or I need some configuration setting similar
>>> to FAQ #19 in the Tuning/Openfabrics section.
>>> 
>>> From: users-boun...@open-mpi.org [mailto:users-boun...@open-mpi.org] On
>>> Behalf Of Ralph Castain
>>> Sent: Sunday, June 09, 2013 6:48 PM
>>> To: Open MPI Users
>>> Subject: Re: [OMPI users] EXTERNAL: Re: Need advice on performance
>>> problem
>>> 
>>> Strange - it looks like a classic oversubscription behavior. Another
>>> possibility is that it isn't using IB for some reason when extended to
>>> the other nodes. What does your cmd line look like? Have you tried
>>> adding "-mca btl openib,sm,self" just to ensure it doesn't use TCP for
>>> some reason?
>>> 
>>> 
>>> On Jun 9, 2013, at 4:31 PM, "Blosch, Edwin L" <edwin.l.blo...@lmco.com>
>>> wrote:
>>> 
>>> 
>>> Correct.  20 nodes, 8 cores per dual-socket on each node = 360.
>>> 
>>> From: users-boun...@open-mpi.org [mailto:users-boun...@open-mpi.org] On
>>> Behalf Of Ralph Castain
>>> Sent: Sunday, June 09, 2013 6:18 PM
>>> To: Open MPI Users
>>> Subject: Re: [OMPI users] EXTERNAL: Re: Need advice on performance
>>> problem
>>> 
>>> So, just to be sure - when you run 320 "cores", you are running across
>>> 20 nodes?
>>> 
>>> Just want to ensure we are using "core" the same way - some people
>>> confuse cores with hyperthreads.
>>> 
>>> On Jun 9, 2013, at 3:50 PM, "Blosch, Edwin L" <edwin.l.blo...@lmco.com>
>>> wrote:
>>> 
>>> 
>>> 
>>> 16.  dual-socket Xeon, E5-2670.
>>> 
>>> I am trying a larger model to see if the performance drop-off happens at
>>> a different number of cores.
>>> Also I’m running some intermediate core-count sizes to refine the curve
>>> a bit.
>>> I also added mpi_show_mca_params all, and at the same time,
>>> btl_openib_use_eager_rdma 1, just to see if that does anything.
>>> 
>>> From: users-boun...@open-mpi.org [mailto:users-boun...@open-mpi.org] On
>>> Behalf Of Ralph Castain
>>> Sent: Sunday, June 09, 2013 5:04 PM
>>> To: Open MPI Users
>>> Subject: EXTERNAL: Re: [OMPI users] Need advice on performance problem
>>> 
>>> Looks to me like things are okay thru 160, and then things fall apart
>>> after that point. How many cores are on a node?
>>> 
>>> 
>>> On Jun 9, 2013, at 1:59 PM, "Blosch, Edwin L" <edwin.l.blo...@lmco.com>
>>> wrote:
>>> 
>>> 
>>> 
>>> 
>>> I’m having some trouble getting good scaling with OpenMPI 1.6.4 and I
>>> don’t know where to start looking. This is an Infiniband FDR network
>>> with Sandy Bridge nodes.  I am using affinity (--bind-to-core) but no
>>> other options. As the number of cores goes up, the message sizes are
>>> typically going down. There seem to be lots of options in the FAQ, and I
>>> would welcome any advice on where to start.  All these timings are on a
>>> completely empty system except for me.
>>> 
>>> Thanks
>>> 
>>> 
>>>    MPI              # cores   Ave. Rate   Std. Dev. %  # timings
>>> Speedup    Efficiency
>>> ================================================================================================
>>> MVAPICH            |   16   |    8.6783  |   0.995 % |       2  |
>>> 16.000  |  1.0000
>>> MVAPICH            |   48   |    8.7665  |   1.937 % |       3  |
>>> 47.517  |  0.9899
>>> MVAPICH            |   80   |    8.8900  |   2.291 % |       3  |
>>> 78.095  |  0.9762
>>> MVAPICH            |  160   |    8.9897  |   2.409 % |       3  |
>>> 154.457  |  0.9654
>>> MVAPICH            |  320   |    8.9780  |   2.801 % |       3  |
>>> 309.317  |  0.9666
>>> MVAPICH            |  480   |    8.9704  |   2.316 % |       3  |
>>> 464.366  |  0.9674
>>> MVAPICH            |  640   |    9.0792  |   1.138 % |       3  |
>>> 611.739  |  0.9558
>>> MVAPICH            |  720   |    9.1328  |   1.052 % |       3  |
>>> 684.162  |  0.9502
>>> MVAPICH            |  800   |    9.1945  |   0.773 % |       3  |
>>> 755.079  |  0.9438
>>> OpenMPI            |   16   |    8.6743  |   2.335 % |       2  |
>>> 16.000  |  1.0000
>>> OpenMPI            |   48   |    8.7826  |   1.605 % |       2  |
>>> 47.408  |  0.9877
>>> OpenMPI            |   80   |    8.8861  |   0.120 % |       2  |
>>> 78.093  |  0.9762
>>> OpenMPI            |  160   |    8.9774  |   0.785 % |       2  |
>>> 154.598  |  0.9662
>>> OpenMPI            |  320   |   12.0585  |  16.950 % |       2  |
>>> 230.191  |  0.7193
>>> OpenMPI            |  480   |   14.8330  |   1.300 % |       2  |
>>> 280.701  |  0.5848
>>> OpenMPI            |  640   |   17.1723  |   2.577 % |       3  |
>>> 323.283  |  0.5051
>>> OpenMPI            |  720   |   18.2153  |   2.798 % |       3  |
>>> 342.868  |  0.4762
>>> OpenMPI            |  800   |   19.3603  |   2.254 % |       3  |
>>> 358.434  |  0.4480
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