===== Running JupyterLab ===== These notes apply to JupyterLab 1.0 run in a Singularity container. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible: configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab web page: https://jupyter.org/ Once you have created a Singularity container with JupyterLab installed the following code can be run on the head node of the Cluster. You will need to tunnel into your JupyterLab instance therefore I recommend that Windows users installing MobaXterm (https://mobaxterm.mobatek.net/). Follow the tunneling instructions for either MacOS / linux or Windows. Note that your Singularity container will run on node91 but this can be changed to any of the Cluster nodes but you will need to change -p (i.e. standard) and -w (i.e. node10) arguments. Once finished shutdown JupyterLab and exit your job to free up used resources. #Running jupyter in a Singularity container on captainkirk srun -p gpu -w node91 -J jupGAN -c 1 --pty --mem=4000 bash # get tunneling info XDG_RUNTIME_DIR="" port=$(shuf -i8000-9999 -n1) # GPU node node=192.168.1.191 user=$(whoami) cluster=captainkirk.statgen.ncsu.edu # print tunneling instructions jupyter-log echo -e " MacOS or linux terminal command to create your ssh tunnel ssh -N -L ${port}:${node}:${port} ${user}@${cluster} Windows MobaXterm info for Tools->ModaSSHTunnel Forwarded port: ${port} Remote server: ${node} Remote port: ${port} SSH server: ${cluster} SSH login: ${user} SSH port: 22 Use a Browser on your local machine to go to: http://localhost:${port} (prefix w/ https:// if using password) DON'T USE ADDRESS BELOW. DO USE TOKEN BELOW " # Load singularity container with tensorflow2, GPU support, Python3, Jupyter lab singularity exec --nv ~/images/tensorflow2-0-gpu-py3-jupyterNL.sif jupyter lab --no-browser --port=${port} --ip=${node} {{:jupyterlab_screenshot.png?1200|}}