12/3/2023 0 Comments Jupyter notebooksGPU Resource Count: If you select a GPU the number of GPUs to allocate to your Jupyter instance.Note your code or packages must take advantage of GPUs, otherwise they will sit idle if you request them. GPU Resource Flag: If you would like to allocate GPUs to your Jupyter instance you can select the GPU type here.For Jupyter it doesn't make a big difference which you choose, however occasionally one CPU type has more resources available than another (you can use the LLfree command in a terminal to check). CPU Type: The type of CPU you would like to launch to.You do not have to change this option, it will adjust based on the resources you select. Partitions: The partition the job is submitted to.A form will appear where you can select alternative options. To see what the default options are or to change these options, click "Show Advanced Launch Options". To launch a notebook with default options, you can simply click on the "Launch Notebook" button. To do this, navigate to the following page: When you start up Jupyter, the Jupyter instance gets submitted through the scheduler as a job. This page will describe how to start up and use your own Jupyter instance and how to set environment variables for Jupyter. You can also download and upload files to your home directory through this interface. The environment allows you to start up notebooks in a variety of languages (Python, Matlab, Octave, Julia), terminal windows, and a simple text editor. Jupyter notebooks are an interactive IDE environment.
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