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You can get an interactive shell running on an allocated node within the Atos HCPF with just calling ecinteractive. By default it will just use the default settings which are:

If you need more resources, you may use the ecinteractive options when creating the job. For example, to get a shell with 4 cpus and 16 GB or memory for 12 hours:

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[user@aa6-100 ~]$ ecinteractive -j
Using interactive job:
CLUSTER JOBID       STATE       EXEC_HOST  TIME_LIMIT  TIME_LEFT MAX_CPUS MIN_MEMORY TRES_PER_NODE
aa      10225277    RUNNING     aa6-104       6:00:00    5:58:07        2         8G     ssdtmp:3G

To cancel the job:         
        /usr/local/bin/ecinteractive -k

Attaching to Jupyterlab session...
To manually re-attach go to http://aa6-104.ecmwf.int:33698/?token=b1624da17308654986b1fd66ef82b9274401ea8982f3b747

To use your own conda environment as a kernel for Jupyter notebook you will need to have ipykernel installed in the conda environment before starting ecinteractive job. ipykernel can be installed with:

[user@aa6-100 ~]$conda activate {myEnv}
[user@aa6-100 ~]$conda install ipykernel
[user@aa6-100 ~]$python3 -m ipykernel install --user --name={myEnv}

HTTPS access

If you wish to run Juptyer Lab on HTTPS instead of plain HTTP, you may use the -J option in ecinteractive. In that case, a personal SSL certificate would be created under ~/.ssl the first time, and would be used to encrypt the HTTP traffic between your browser and the compute node.

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