Re: [HTCondor-users] matching gpu devicename

["John (TJ) Knoeller" <johnkn@xxxxxxxxxxx>]

You should be getting back a CUDACapability attribute, something like this:

CUDACapability=2.0
CUDADeviceName="GeForce GTX 480"
CUDADriverVersion=4.20
CUDAECCEnabled=false
CUDAGlobalMemoryMb=1536
CUDARuntimeVersion=4.10

if you pass the -extra flag, then you should also be getting attributes 
CUDAClockMhz, CUDAComputeUnits and CUDACoresPerCU
like this

CUDACapability=2.0
CUDAClockMhz=1400.00
CUDAComputeUnits=15
CUDACoresPerCU=32
CUDADeviceName="GeForce GTX 480"
CUDADriverVersion=4.20
CUDAECCEnabled=false
CUDAGlobalMemoryMb=1536
CUDARuntimeVersion=4.10

If you are using the GPUs metaknob, you can set the -extra flag by 
setting  GPU_DISCOVERY_EXTRA like this:

GPU_DISCOVERY_EXTRA = -extra
use FEATURE : GPUs

-tj

On 6/2/2015 6:39 AM, Michael Di Domenico wrote:
> On Mon, Jun 1, 2015 at 3:17 PM, John (TJ) Knoeller <johnkn@xxxxxxxxxxx> wrote:
> > These are effectively the same device?  It's annoying that they have
> > separate names then. You should complain to NVidia... ;)
> effectively they are the same card, but there are some design changes
> concerning thermals and airflow between the two.  it's annoying, but
> unfortunately there's a valid reason.
>
> > But seriously, your best course for now would be to condor_gpu_discovery
> > program in a script that re-writes it's output
> > to change the various CUDA[n]DeviceName attributes to a single
> > CUDADeviceName = "Tesla K10" attribute.
> ugh, i was hoping to avoid this, but i guess it's the only option
>
> > Or tell your users to target the GPUs based on capability rather than by
> > name.
> i'm unclear how this matching takes place.  i don't see the
> CUDA_CAPABILITY(?) classads bound to my slots when i run condor_status
> -l <slot> are they hidden somewhere or is condor_discovery_gpu not
> spitting out everything it should
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