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From UCSC Genomics Institute Computing Infrastructure Information
- 17:42, 22 May 2026 Change Default File Browser Directory (hist | edit) [1,881 bytes] Weiler (talk | contribs) (Created page with "__TOC__ When starting a notebook, by default, the "File Browser" directory on the left panel of the Jupyter Notebook window in your home directory. If you would prefer to have that default directory be something else, follow these steps. == Stop All Current Running Notebooks == Stop all your notebooks before proceeding. In this case, click "File" -> "Hub Control Panel", then click the red "Stop Server" button. == Create User Jupyter Config File == Create a custom...")
- 17:33, 22 May 2026 Create a Jupyter Virtual Environment (hist | edit) [2,258 bytes] Weiler (talk | contribs) (Created page with "__TOC__ If you need a specific Jupyter environment, because maybe you need specific Python modules or something like that, you've come to the right place. == Find a Location to Install == You will want to install your Jupyter Virtual Environment somewhere accessible from the PRISM Compute Nodes and all the cluster nodes, so it will need to either be in your home directory or in '''/private/groups/[lab_name]''' somewhere. For this example I'll use my home directory, '...")
- 17:23, 22 May 2026 Access the JupyterHub Slurm Server (hist | edit) [3,292 bytes] Weiler (talk | contribs) (Created page with "__TOC__ We have a JupyterHub server running on top of Slurm that is very useful for spawning Jupyter Notebooks. == Login to the Hub == You can login to the JupyterHub interface here: https://jupyter.mckenna.edu Your web browser may complain about a name mismatch on the SSL certificate but you can click past it, the connection is still secure. There you will see a login page: 1200px|frame|left|Login Page Login using your regular UNIX us...")
- 06:45, 31 March 2026 Slurm Insights Dashboard (hist | edit) [852 bytes] Weiler (talk | contribs) (Created page with "This tool graphically and numerically displays some useful slurm statistics, notably: * Efficiency of completed jobs (CPU and RAM efficiency) by user. Cancelled or failed jobs are not included in these tallies. * "Live Reservations" by user. This shows how many CPUs, GPUs and RAM are currently reserved right now, per user, as a percentage of total cluster resources. You can sort by any column by clicking in the column name at the top of the column. For the "Efficie...")