[Rtk-users] RTK on a GPU cluster

[Simon Rit]

Hi,
I have used it on a cluster node with 2 GPUs without any problem. Have you
tried nvidia code to check if it's a problem with the ITKCudaCommon package
or with your system? From this forum
<https://devtalk.nvidia.com/default/topic/470566/why-quot-all-cuda-capable-devices-are-busy-or-unavailable-quot-/>,
it seems that this problem is independent of ITKCudaCommon...
Simon

On Tue, Aug 25, 2015 at 7:25 PM, Julia Mascolo-Fortin <
julia.mascolo-fortin.1 at ulaval.ca> wrote:

> Hi,
>
> I'm working on a program that use ITK and the RTK module ITKCudaCommon. It
> works fine on my computer.
>
> However, I'm trying to run it on a GPU cluster and the ITKCudaCommun throw
> an error:
>
> RTK/utilities/ITKCudaCommon/include/itkCudaDataManager.h:54 @ unknown :
> Cuda Error : all CUDA-capable devices are busy or unavailable
>
> terminate called after throwing an instance of 'itk::ExceptionObject'
>   what(): RTK/utilities/ITKCudaCommon/include/itkCudaDataManager.h:54:
> Cuda Error : all CUDA-capable devices are busy or unavailable
>
>
> This error is obtained in this line in my code:
>
> float *d_Projections  = *(float**)(
> m_Projections->GetCudaDataManager()->GetGPUBufferPointer() );
>
>
> This error is weird because the program clearly state "Found 1 CUDA
> enabled device[s]"  and I have been able to run another program on that
> cluster without any problem.
>
>
> If anyone has experience with the implementation on RTK program on a GPU
> cluster, your help would be appreciated.
>
> Julia Mascolo-Fortin
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