cycles slurm job

cycles_princeton_cs_slurm_jupyter.sh

#!/bin/bash
#SBATCH --mincpus 32
#SBATCH --mem 100G
#SBATCH --time 6-23:59:00
#SBATCH --job-name jupyterlab
#SBATCH --gres=gpu:1
#SBATCH --mail-type=begin        # send email when job begins
#SBATCH --mail-type=end          # send email when job ends
#SBATCH [email protected]
#SBATCH --output jupyter_logs/jupyter-notebook-%J.log
# get tunneling info
# get tunneling info
XDG_RUNTIME_DIR=""
port=$(shuf -i10001-20000 -n1)
node=$(hostname -s)
user=$(whoami)
cluster="cycles"
# 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}.cs.princeton.edu
Windows MobaXterm info
Forwarded port:same as remote port
Remote server: ${node}
Remote port: ${port}
SSH server: ${cluster}.cs.princeton.edu
SSH login: $user
SSH port: 22
Use a Browser on your local machine to go to:
localhost:${port}  (prefix w/ https:// if using password)
"
# load modules or conda environments here
# uncomment the following two lines to use your conda environment called notebook_env
module load gurobi
source /n/fs/ragr-data/users/hirak/environments/mambaforge/bin/activate base
conda activate py390
# conda activate spagcn
# conda activate py-stagate
cd /n/fs/ragr-research/users/hirak/Projects/niche_project/COMMOT_paper_data
# DON'T USE ADDRESS BELOW.
# DO USE TOKEN BELOW
jupyter lab --no-browser --port=${port} --ip=${node}