Jason, Ross,
many thanks for the information!
James
2014-05-07 19:44 GMT+04:00 Ross Walker <ross.rosswalker.co.uk>:
> Hi James,
>
> Jason's info is good - I personally work off the memory usage rather than
> messing with a hacked nvidia-smi. I would suggest though taking a read of
> the following pages:
>
> http://ambermd.org/gpus/ - this is for AMBER 14 although I have not
> completely finished updating it yet.
>
> http://ambermd.org/gpus12/ - This contains an archive of the AMBER 12
> info.
>
> Take a read of them - I think they will help you understand things better.
>
> Note, if you running just single GPU jobs you can set the following as
> root:
>
> nvidia-smi -c 3
> nvidia-smi -pm 1
>
> And then pmemd.cuda will automatically pick an unused GPU each time you
> run it and will quit with an error if they are all in use - it prevents
> AMBER 14 from running in parallel though (for that you need to set
> nvidia-smi -c 0 to allow peer to peer communication - for AMBER 12 it
> makes no difference).
>
> All the best
> Ross
>
>
> On 5/7/14, 4:34 AM, "Jason Swails" <jason.swails.gmail.com> wrote:
>
> >
> >On May 7, 2014, at 6:39 AM, James Starlight <jmsstarlight.gmail.com>
> >wrote:
> >
> >> Also I wounder to knmow about possible ways to monitor loading of each
> >>GPU
> >> while performing simulations (Its strange but devise-info script found
> >> http://ambermd.org/gpus/#Running does not allocate any GPUs ):
> >>
> >> [snip]
> >> own.drunk_telecaster ~/Desktop/check_CUDA $ nvidia-smi -a
> >> ==============NVSMI LOG==============
> >>
> >> Timestamp : Wed May 7 14:38:41 2014
> >> Driver Version : 331.67
> >>
> >> Attached GPUs : 2
> >> GPU 0000:01:00.0
> >> Product Name : GeForce GTX TITAN
> >> Display Mode : N/A
> >> Display Active : N/A
> >> Persistence Mode : Disabled
> >> Accounting Mode : N/A
> >> Accounting Mode Buffer Size : N/A
> >> Driver Model
> >> Current : N/A
> >> Pending : N/A
> >> Serial Number : N/A
> >> GPU UUID :
> >> [snip]
> >> FB Memory Usage
> >> Total : 6143 MiB
> >> Used : 393 MiB
> >> Free : 5750 MiB
> >> [snip]
> >> Temperature
> >> Gpu : 80 C
> >> [snip]
> >> could some one detect something unusual in these logs?
> >
> >The temperature of 80 C is typical for TITANs under load -- other than
> >memory usage (>300MB used also indicates a process is running) and
> >temperature/fan speed, nvidia-smi does not print much information for
> >Geforce cards. There is a "bug" in NVidia's NVML library that causes
> >nvidia-smi to think none of the introspective properties are supported by
> >these cards.
> >
> >You can patch NVML with a hack that tricks the library into realizing the
> >properties _are_ supported via this fix:
> >https://github.com/CFSworks/nvml_fix
> >
> >Unless you have a strong desire for more comprehensive nvidia-smi output,
> >it's probably not worthwhile.
> >
> >HTH,
> >Jason
> >
> >--
> >Jason M. Swails
> >BioMaPS,
> >Rutgers University
> >Postdoctoral Researcher
> >
> >
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> >AMBER.ambermd.org
> >http://lists.ambermd.org/mailman/listinfo/amber
>
>
>
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Received on Thu May 08 2014 - 00:00:04 PDT
