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Desktop Cloud Visualization (DCV)

NICE DCV enables remote accessing OpenGL 3D applications running on ZIH systems using the server's GPUs. If you don't need OpenGL acceleration, you might also want to try our WebVNC solution.

See the official DCV documentation if you want to know whether your browser is supported by DCV.

Access with JupyterHub

Check out our new documentation about Virtual Desktops.

To start a JupyterHub session on the cluster vis (vis[1-4]) with one GPU, 2 CPU cores and 2 GB memory per core, click on:'vis~nodes~'1~ntasks~'1~cpuspertask~'2~mempercpu~'2048)

Optionally, you can modify many different Slurm parameters. For this follow the general JupyterHub documentation.

Your browser should load JupyterLab, which looks like this:

JupyterLab and DCV

Click on the DCV button. A new tab with the DCV client will be opened.

Notes on GPU Support

  • Check GPU support via:
marie@compute$ glxinfo | head
name of display: :1
display: :1  screen: 0
direct rendering: Yes

If direct rendering is not set to Yes, please contact HPC support.

marie@compute$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib64/nvidia