Re: [AMBER] AMBER 11 on multiple GPUs

From: Ross Walker <ross.rosswalker.co.uk>
Date: Wed, 1 Dec 2010 10:14:51 -0800

Thanks Ian.

Any chance you can post the model number of the motherboard you have? I am
trying to put together a list of 'well behaved' motherboards since it seems
that not all motherboards are created equal.

Thanks.

All the best
Ross

> -----Original Message-----
> From: Gould, Ian R [mailto:i.gould.imperial.ac.uk]
> Sent: Wednesday, December 01, 2010 10:05 AM
> To: AMBER Mailing List
> Subject: Re: [AMBER] AMBER 11 on multiple GPUs
>
> Hi Ross and fellow GPU AMBER users
>
> I have been using the parallel version for a while and can report that it
does
> exactly what is says on the "Tin".
> I only have 2 C2050's in my machine and so I am seeing speed up between
1.5
> and 1.66 depending on size of system and cutoff used.
> It's worth noting that in general on X64 based machines you rarely see
better
> than 1.7x going from 1 to 2 processors so 1.5 to 1.66 is very good when
you
> think about the power per card that the 2050's represent. I am keen to
> extend the experiment up to 4 cards. I should also mention that this is
all
> done over PCI-X and not via infiniband. The motherboard I have should
> enable me to run 4 x C2050's at full 16x on the PCI-X so when I can get
hold of
> another couple of cards I will let you know what I find. I really do hope
that
> NVIDIA sort out the GTX 480/580 issue.
>
> Cheers
> Ian
>
> "Education: that which reveals to the wise, and conceals from the stupid,
the
> vast limits of their knowledge."
> Mark Twain
> --
> Dr Ian R Gould
> Senior Lecturer Biological and Biophysical Chemistry
> Imperial College London
> Exhibition Road
> London
> SW7 2AY
> E-mail i.gould.imperial.ac.uk
> http://www3.imperial.ac.uk/people/i.gould
> Tel +44 (0)207 594 5809
> Fax +44 (0)207 594 5809
>
>
>
>
> On 01/12/2010 17:51, "Ross Walker" <ross.rosswalker.co.uk> wrote:
>
> Dear AMBER users,
>
> I just wanted to let you all know that we have now released a patch as
part
> of the bugfixes (bugfix.9 and bugfix.11) that provide support for
> acceleration of PMEMD v11 on multiple GPUs using MPI. For those that are
> interested there are compilation instructions and updated benchmarks on
> the
> following page:
>
> http://ambermd.org/gpus/
>
> This represents the first release of multiple GPU support. We are
currently
> working on improving performance and scalability further and anticipate
> releasing additional updates in a few months.
>
> I would appreciate any feedback.
>
> Additionally we are still working with NVIDIA to address the problem
> involving runs hanging on GTX4XX and GTX580 cards and I am hopeful that a
> workaround can be found.
>
> All the best
> Ross
>
> /\
> \/
> |\oss Walker
>
> ---------------------------------------------------------
> | Assistant Research Professor |
> | San Diego Supercomputer Center |
> | Adjunct Assistant Professor |
> | Dept. of Chemistry and Biochemistry |
> | University of California San Diego |
> | NVIDIA Fellow |
> | http://www.rosswalker.co.uk | http://www.wmd-lab.org/ |
> | Tel: +1 858 822 0854 | EMail:- ross.rosswalker.co.uk |
> ---------------------------------------------------------
>
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