I think the short answer is: Rolf is currently working on better GP-GPU 
integration with Open MPI.  :-)


On Feb 14, 2012, at 5:36 PM, Rolf vandeVaart wrote:

> 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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>> http://gridscheduler.sourceforge.net/
>> 
>> Scalable Grid Engine Support Program
>> http://www.scalablelogic.com/
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