It depends on the Stream Multiprocessor (SM) constrains
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Pedro Paulo de Magalhães Oliveira Junior
Diretor de Operações
Netfilter & SpeedComm Telecom
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On Tue, Nov 23, 2010 at 12:25, Richard G. Edgar
<[email protected]>wrote:

>
> On Tue, 2010-11-23 at 15:03 +0100, Marcus N Schmidt wrote:
> > I should note that we have a single GeForce GTX 470 card on the
> > workstation and have installed the latest CUDA drivers and toolkit
> > (3.2).
> >
> > >
> > > Is there a limit to how many processes can use CUDA at the same
> > > time? I just setup a new Linux workstation and am delving into
> > > FreeSurfer w/ CUDA. I'm getting the following error:
> > >
> > >
> > > Acquiring CUDA device
> > > Using default device
> > > CUDA Error in file 'devicemanagement.cu' on line 46 : all
> > > CUDA-capable devices are busy or unavailable.
> > > Linux rietveld 2.6.18-194.26.1.el5 #1 SMP Tue Nov 9 12:54:20 EST
> > > 2010 x86_64 x86_64 x86_64 GNU/Linux
>
> None of the code I've written (which includes devicemanagement.cu)
> imposes limitations - I actually often run more than one GPU job at once
> on the card. The driver software timeslices the entire card between
> processes. However, the cards themselves might be set so that only one
> process can use them at a time (using the nvidia-smi tool) - that's
> entirely up to the system administrator.
>
> I would not recommend running more than one CUDA process per card
> routinely - especially not on a low end card like that - since the
> memory allocations might end up failing, killing the job.
>
> Regards,
>
> Richard
>
>
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