title: How to link nodes in jupyter notebook with dask
body: <p>So I am running on an HPC cluster using Slurm.  I have already obtained the nodes that I require (salloc --nodes=16 -t08:00:00 --qos=interactive).  Is there a way to run dask on a jupyter notebook that I open and have all of these nodes linked without having to wait for dask_jobqueue.SLURMCluster() to acquire all new nodes?</p>
  
  <p>Also, is there a way to add the "--qos=interactive) for the SLURMCluster() routine?</p>
  
  <p>Thanks</p>
  
  <p>more info:
  I access the hpc front-end through ssh.
  Next I obtain nodes on the machine with:
      salloc --nodes=16 -t08:00:00 --qos=interactive
  then I start a notebook:
     jupyter notebook --no-browser --port=9999
  Next I ssh tunnel into the notebook:
      ssh -4 -t -L 9999:localhost:9999 lhovey@xxxx.lanl.gov ssh -t -L 9999:localhost:9999 yy-vv ssh -L 9999:localhost:9999 nodename
  Then I load the the jupyter notebook link into my browser and am currently in my notebook.</p>
  
  <p>What I want to do is parallel processing on large image arrays. When I am on the notebook I just want to link it to the other 15 nodes I have already acquired so I do not have to run the SLURMCluster command from dask_jobqueue and wait to acquire all new nodes. the main reason is that I get nodes faster with the --qos=interactive and I am not able (I think) to use this option in dask</p>