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Use this method only for viewing and editing notebooks or running very non computationally intensive notebooks. The kind people running S3DF get unhappy when you run a multi core simulation on interactive compute. Instead see Running Notebooks on Batch Compute below.
- Get a S3DF account
- Wait for approval
Ssh into s3df login node with port forwarding (5555 can be changed to any preferred port): note: make sure this ssh is from your local machine as we need to have port 5555 open on the connection all the way from your local machine to jupyter lab on s3df.
Code Block ssh -L 5555:localhost:5555 <SLAC UNIX USERNAME>@s3dflogin.slac.stanford.edu
if connecting from Windows' command line (cmd), specify the following:
Code Block ssh -m hmac-sha2-512 -L 5555:localhost:5555 <SLAC UNIX USERNAME>@s3dflogin.slac.stanford.edu
Connect to Iana :
Code Block ssh -L 5555:localhost:5555 iana
Activate conda env: If conda is not installed see instructions here
Code Block conda activate <CONDA ENV>
** do only first time ** install jupyter lab if not installed:
Code Block conda install jupyterlab
- Run jupyter and click on the link to open in your browser:
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