PyOpenCL not running on a server-node with a Nvidia Tesla card









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I am trying to run a script that uses PyOpenCL (or PyCuda) to executes a simulation on the Tesla GPU on a node of a compute cluster. However, I get the following error:
LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR



If I run it in plain OpenCL, using a C++ code, there is no problem, so it is not that OpenCL is not installed properly. But I would like to run it from Jupiter (or plain python), and this doesn't work.



Switching to PyCuda doesn't help, also gives an error.



Some additional information: my python installation is Anaconda3-5.2.0-Linux-x86_64 with PyOpenCL added via conda.



Who can help me with this? Thanks in advance, Johan










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    up vote
    0
    down vote

    favorite












    I am trying to run a script that uses PyOpenCL (or PyCuda) to executes a simulation on the Tesla GPU on a node of a compute cluster. However, I get the following error:
    LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR



    If I run it in plain OpenCL, using a C++ code, there is no problem, so it is not that OpenCL is not installed properly. But I would like to run it from Jupiter (or plain python), and this doesn't work.



    Switching to PyCuda doesn't help, also gives an error.



    Some additional information: my python installation is Anaconda3-5.2.0-Linux-x86_64 with PyOpenCL added via conda.



    Who can help me with this? Thanks in advance, Johan










    share|improve this question









    New contributor




    Johan vd Koppel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I am trying to run a script that uses PyOpenCL (or PyCuda) to executes a simulation on the Tesla GPU on a node of a compute cluster. However, I get the following error:
      LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR



      If I run it in plain OpenCL, using a C++ code, there is no problem, so it is not that OpenCL is not installed properly. But I would like to run it from Jupiter (or plain python), and this doesn't work.



      Switching to PyCuda doesn't help, also gives an error.



      Some additional information: my python installation is Anaconda3-5.2.0-Linux-x86_64 with PyOpenCL added via conda.



      Who can help me with this? Thanks in advance, Johan










      share|improve this question









      New contributor




      Johan vd Koppel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      I am trying to run a script that uses PyOpenCL (or PyCuda) to executes a simulation on the Tesla GPU on a node of a compute cluster. However, I get the following error:
      LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR



      If I run it in plain OpenCL, using a C++ code, there is no problem, so it is not that OpenCL is not installed properly. But I would like to run it from Jupiter (or plain python), and this doesn't work.



      Switching to PyCuda doesn't help, also gives an error.



      Some additional information: my python installation is Anaconda3-5.2.0-Linux-x86_64 with PyOpenCL added via conda.



      Who can help me with this? Thanks in advance, Johan







      linux opencl pycuda pyopencl






      share|improve this question









      New contributor




      Johan vd Koppel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









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      Johan vd Koppel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      New contributor




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      New contributor





      Johan vd Koppel is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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