There are several things going on here that make their library perform better.

With respect to inter-node performance, both MVAPICH2 and Open MPI copy the GPU 
memory into host memory first.  However, they are using special host buffers 
that and a code path that allows them to copy the data asynchronously and 
therefore do a better job pipelining than Open MPI.  I believe their host 
buffers are bigger which works better at larger messages.  Open MPI just piggy 
backs on the existing host buffers in the Open MPI openib BTL.  Open MPI also 
just uses synchronous copies .  (There is hope to improve that)

Secondly, with respect to intra-node performance, they are using the Inter 
Process Communication feature of CUDA which means that within a node, one can 
move GPU memory directly from one GPU to another.  We have an RFC from December 
to add this into Open MPI as well, but do not have approval yet.  Hopefully 
sometime soon.

Rolf

>-----Original Message-----
>From: devel-boun...@open-mpi.org [mailto:devel-boun...@open-mpi.org]
>On Behalf Of Rayson Ho
>Sent: Tuesday, February 14, 2012 4:16 PM.
>To: Open MPI Developers
>Subject: [OMPI devel] MVAPICH2 vs Open-MPI
>
>See P. 38 - 40, MVAPICH2 outperforms Open-MPI for each test, so is it
>something that they are doing to optimize for CUDA & GPUs and those
>optimizations are not in OMPI, or did they specifically tune MVAPICH2 to
>make it shine??
>
>http://hpcadvisorycouncil.com/events/2012/Israel-
>Workshop/Presentations/7_OSU.pdf
>
>The benchmark package: http://mvapich.cse.ohio-state.edu/benchmarks/
>
>Rayson
>
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