SCIAMA

High Performance Compute Cluster

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    • How to Log in
    • Log in from Windows
    • Using X2Go
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    • Training Exercises
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  • Using SCIAMA
    • Using Jupyter Notebooks
    • Using JupyterHub
    • Using Spyder
    • Storage Policy
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    • Using GPUs
    • Using Matlab
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JupyterHub

To request access to the JupyterHub server please send an email to sciama-support@port.ac.uk. You must already have a Sciama account and know your password.

To log in to the server go to https://jupyter.sciama.icg.port.ac.uk (you will get a warning regarding the SSL certificate, this is because it is a self signed certificate and can be safely added to the exception list) and log in with your Sciama credentials.

Once logged in you will be presented with a Server Options page, as below. From the drop down menu you can choose to run a lab on the JupyterHub server or on one of the Sciama nodes. Select a job profile depending on your resource requirements and click start.

If you’ve selected a Sciama queue node it may take a while for the job to run and start the resources, it will timeout after 5 minutes in which case you can try again or try a different queue.

Once your server is running you will see the tree showing your local directory on Sciama. From here you can upload files or start a new notebook, or terminal or open a notebook by clicking on the .ipynb file you’ve already created.

Alternatively, if you prefer the lab view replace 'tree' at the end of the url with 'lab', e.g.

jupyter.sciama.icg.port.ac.uk/user/tmaule/tree --> jupyter.sciama.icg.port.ac.uk/user/tmaule/lab

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