<div dir="ltr"><div><div>Hi,<br></div>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 <a href="https://devtalk.nvidia.com/default/topic/470566/why-quot-all-cuda-capable-devices-are-busy-or-unavailable-quot-/" target="_blank">forum</a>, it seems that this problem is independent of ITKCudaCommon...<br></div>Simon<br><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Aug 25, 2015 at 7:25 PM, Julia Mascolo-Fortin <span dir="ltr"><<a href="mailto:julia.mascolo-fortin.1@ulaval.ca" target="_blank">julia.mascolo-fortin.1@ulaval.ca</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi,<br>
<br>
I'm working on a program that use ITK and the RTK module ITKCudaCommon. It works fine on my computer.<br>
<br>
However, I'm trying to run it on a GPU cluster and the ITKCudaCommun throw an error:<br>
<br>
RTK/utilities/ITKCudaCommon/include/itkCudaDataManager.h:54 @ unknown : Cuda Error : all CUDA-capable devices are busy or unavailable<br>
<br>
terminate called after throwing an instance of 'itk::ExceptionObject'<br>
what(): RTK/utilities/ITKCudaCommon/include/itkCudaDataManager.h:54:<br>
Cuda Error : all CUDA-capable devices are busy or unavailable<br>
<br>
<br>
This error is obtained in this line in my code:<br>
<br>
float *d_Projections = *(float**)( m_Projections->GetCudaDataManager()->GetGPUBufferPointer() );<br>
<br>
<br>
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.<br>
<br>
<br>
If anyone has experience with the implementation on RTK program on a GPU cluster, your help would be appreciated.<br>
<span><font color="#888888"><br>
Julia Mascolo-Fortin<br>
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