Issue with running CP2K on multi-GPU node

[Ole Schütt]

Hi Abhishek,

another thing you could try is to update your CUDA version. About a year 
ago Nvidia added a feature called HyperQ, which allows multiple processes 
to access the same GPU concurrently.

-Ole

On Wednesday, November 12, 2014 9:46:26 AM UTC+1, Vedran Miletić wrote:
>
> Hello Abhishek,
>
> can you try changing line 199 in cp2k/src/start/cp2k_runs.F from:
>
>   CALL acc_set_active_device(MOD(para_env%mepos, acc_get_ndevices()))
>
> to
>
>   CALL acc_set_active_device(1)
>
> and see if this works? You can use 2 or 3 if you prefer.
>
> Regards,
> Vedran
>
> Dana utorak, 11. studenoga 2014. 20:06:42 UTC+1, korisnik Abhishek 
> Bagusetty napisao je:
>>
>> Hi Developers,
>>
>> The cluster we use have a 4 on-node GPUs. It is apparent that the GPU-IDs 
>> are tagged as 0,1,2,3 and when GPU_ID 0 is being used by some-other 
>> application, CP2K reports in the output that *CUDA Error: all 
>> CUDA-capable devices are busy or unavailable*. It looks like the 
>> deviceIndex is defaulted to 0 for the CUDA APIs.
>>
>> Is there a way to specify a specific GPU-ID, so that memory management 
>> and/or kernel computations are performed with respect to that particular 
>> device ID ?
>>
>> Thanks,
>> Abhishek 
>>
>>
>> -----------------------------------------------------------------------------------------------------------
>> Abhishek Bagusetty
>> PhD Student, Computational Modeling & Simulation
>> Center for Simulation and Modeling
>> Department of Chemical & Petroleum Engineering
>> University of Pittsburgh
>> Pittsburgh, PA - 15261
>> Office : 920 Benedum Hall
>>
>> -----------------------------------------------------------------------------------------------------------
>>
>>
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