On Tue, Feb 21, 2017 at 3:31 PM, Sergei Ponomarev <
[email protected]> wrote:

> Dear Developers,
>
> I have three questions:
>
> 1) Is there a way to run parallel jobs in Jupyterhub (via Jupyter
> Notebook)? For example, can a user submit his/her job to the queue
> (UGE/SGE) from inside Jupyterhub GUI? Should Jupyterhub in this case be
> hosted on the head node?
>

> 2) Depending on 1) do you recommend running Jupyterhub on the head node
> and/or regular node? We may have 20-30 students running Jypyterhub at the
> same time. Would that affect head node performance, or would this be ok
> considering 1) is implemented?
>


Yes, you can do this. There are varying levels of implementations of
submitting jobs more conveniently from notebooks, but you can always resort
to `!qsub`.

Putting JupyterHub on a head node is one such approach. You can run
notebooks locally or on work nodes via a Spawner. If you use BatchSpawner,
you can run JupyterHub on the login node, and each user's notebook will run
on a work node as a real job. This makes the load on the login node very
low, because the JupyterHub process itself doesn't do very much other than
submit jobs. Some clusters have dedicated a single node to JupyterHub,
running notebooks on that node, where users can submit jobs from their
notebooks.

-Min




>
> and
>
> 3) Can users share notebooks, and, if so, how can this be achieved? We are
> using LDAP on our HPC cluster, if that helps.
>
> Thank you in advance!
>
> Sergei
>
>
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