Re: [AMBER] Loading across GPUs

From: Duke, Robert E Jr <rduke.email.unc.edu>
Date: Wed, 19 Sep 2012 19:01:29 +0000

Hi Scott,
Well, the pmemd base code has used dynamic load balancing since the original release, so we have 7-8 years of positive experience with it. You DO have to be fairly careful with the code. I expect this stuff is disabled when you guys go into gpu mode, but have not checked. Anyway, the non-gpu pmemd will come up in a cluster populated with cpu's with different compute power and automatically adjust as needed, based on balancing compute time.
Regards - Bob Duke
________________________________________
From: Scott Le Grand [varelse2005.gmail.com]
Sent: Wednesday, September 19, 2012 11:18 AM
To: AMBER Mailing List
Subject: Re: [AMBER] Loading across GPUs

And PS anything but static load balancing would lead to nondeterministic
execution and that's a dealbreaker for my inner software engineer...
On Sep 19, 2012 5:50 AM, "Jason Swails" <jason.swails.gmail.com> wrote:

>
>
> On Sep 19, 2012, at 5:57 AM, Adam Jion <adamjion.yahoo.com> wrote:
>
> > Hi,
> >
> > Is it possible to control the computational loading across the GPUs for
> a multi-GPU run of Amber?
> > That is, I want GPU 1 to do 75% of the computation whilst GPU 2 does 25%
> of the computation.
>
> No. The only reason I could imagine wanting to try this is if the 2 GPUs
> are different and one is slower.
>
> If this is the case, you basically have to use them for different
> simulations. For parallel sims, because of the serial nature of Molecular
> Dynamics, a parallel job could very easily be slower than one run on the
> fastest GPU (since it will be waiting for the slowest one to finish).
>
> HTH,
> Jason
>
> --
> Jason M. Swails
> Quantum Theory Project,
> University of Florida
> Ph.D. Candidate
> 352-392-4032
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> AMBER mailing list
> AMBER.ambermd.org
> http://lists.ambermd.org/mailman/listinfo/amber
>
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Received on Wed Sep 19 2012 - 12:30:03 PDT
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