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About
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JupyterHub
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. As such, Jupyterhub, an extension of Jupyter Notebook, is a valuable tool which
- enhances accessibility of high performance computational resources beyond the command line interface
- encourages collaboration across departments
- greatly improves the time from coding to results
Deployed is a JupyterHub environment utilizing Jupyterlab, not the classic Jupyter Notebook. For more on Jupyterlab, see here
Please note that all jupyter notebook jobs submitted through this framework have a time limit of 8 hours.
Supported Kernels
- python 3.7.0
- R 3.5.1 (howto)
If you would like to expose another kernel, please follow these instructions
Using Jupyterhub to Access ARCC General Purpose Cluster
Note: More information on the general purpose cluster can be found here. You must have a RIT home directory, in order to use this resource. Please contact arcc @ albany*at* albany.edu if you need an account.
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- Navigate to https://jupytertest.arcc.albany.edu, and log in with your NetID and password.
- Now, you will be prompted to spawn a server. Several options are available for users to select. Please select the appropriate profile from the drop down menu, and do not request more resources than you need. All jobs have a time limit of 8 hours.
- If you are running a low memory job, but require many CPUs for multiprocessing, use insert profname
- If you are running a high memory job, and require many CPUs for multiprocessing, use insert profname
- If you are running a high memory job, but cannot take advantage of multiprocessing, use insert profname If you are running a low memory job, and cannot take advantage of multiprocessing, use insert profname
- This will spawn a 'classic' notebook server Jupyterlab in your /network/rit/home/ directory. You will not be able to navigate to other parts of the file system, unless they are linked to your home directory. However, your code can access any network path that you have permission to access.
If you would like to use the jupyterlab interface, instead of the classic notebook interface, change /tree at the end of the URL to /lab, for example: - https://jupytertest.arcc.albany.edu/user/[net_id]/tree https://jupytertest.arcc.albany.edu/user/[net_id]/labNote that by default, you will not see the R kernel. Please follow these instructions to enable it
- Happy coding!
