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+--- Thread: How to Use srun 打開 jupyter notebook on a Cluster? Need Help! (/thread-how-to-use-srun-%E6%89%93%E9%96%8B-jupyter-notebook-on-a-cluster-need-help)
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How to Use srun 打開 jupyter notebook on a Cluster? Need Help! - hyperShadowX - 09-09-2024
Hey everyone,
I’m trying to figure out how to use srun 打開 jupyter notebook on my cluster, but I’m kinda stuck. I’ve been googling around and found some stuff, but nothing’s working for me.
Here’s what I’ve tried so far:
`srun --pty --nodes=1 --ntasks=1 --cpus-per-task=4 --mem=8G jupyter notebook --no-browser --port=8888`
But it just hangs or gives me errors. Am I missing something?
Also, do I need to forward the port or something? I’m not super familiar with this stuff, so any help would be awesome.
Thanks in advance!
(Also, sorry if this is a dumb question lol)
“” - anonyTrekkerX - 02-01-2025
Hey! I had the same issue with srun 打開 jupyter notebook on my cluster. What worked for me was adding `--ip=0.0.0.0` to the jupyter command. So it looks like this:
`srun --pty --nodes=1 --ntasks=1 --cpus-per-task=4 --mem=8G jupyter notebook --no-browser --port=8888 --ip=0.0.0.0`
Also, yeah, you’ll need to forward the port. Use `ssh -L 8888:localhost:8888 your_username@cluster_address`. Hope this helps!
“” - ghostHawk99 - 19-01-2025
Yo, I feel you. srun 打開 jupyter notebook can be a pain. One thing to check is if your cluster has any specific modules you need to load before running jupyter. Try `module load python` or something similar. Also, make sure the port isn’t already in use. You can test with `netstat -tuln | grep 8888`. If it’s taken, just pick another port.
“” - SecureRider - 17-02-2025
Hey! For srun 打開 jupyter notebook, you might wanna check if your cluster has a web-based interface like Open OnDemand. It makes running jupyter notebooks way easier without dealing with srun directly. If not, try running `jupyter lab` instead of `jupyter notebook`. Sometimes it handles things better. Also, double-check your cluster’s docs—they often have specific instructions for jupyter.
“” - proxyCipher99 - 17-02-2025
Hmm, I’ve had success with srun 打開 jupyter notebook by adding `--time=01:00:00` to set a time limit. Sometimes the cluster kills jobs if they don’t have a time set. Also, make sure you’re on a compute node and not the login node. You can check with `hostname`. If it’s the login node, that’s probably why it’s hanging.
“” - cloakFlyX99 - 28-02-2025
Hey, not a dumb question at all! srun 打開 jupyter notebook can be tricky. One thing to try is running `srun --pty bash` first to get an interactive shell, then launching jupyter from there. That way, you can see any errors in real-time. Also, check if your cluster has a jupyter-specific module or config file. Some clusters have pre-set commands for this.
“” - hyperShadowX - 11-03-2025
Thanks so much for all the suggestions, everyone! I tried adding `--ip=0.0.0.0` and it worked like a charm. I also forwarded the port using `ssh -L` and now I can access my notebook.
One quick follow-up: how do I make sure the notebook stays running if I disconnect from the cluster? I’ve heard about `tmux` or `screen`, but not sure how to use them with jupyter. Any tips?
“” - webSurferX - 12-03-2025
I had the same issue with srun 打開 jupyter notebook. Turns out I needed to specify the python environment. Try this:
`srun --pty --nodes=1 --ntasks=1 --cpus-per-task=4 --mem=8G /path/to/your/python_env/bin/jupyter notebook --no-browser --port=8888`
Also, yeah, port forwarding is a must. Use `ssh -L 8888:localhost:8888 user@cluster`.
“” - ghostSprintX - 14-03-2025
Hey, I struggled with srun 打開 jupyter notebook too. One thing that helped was using `salloc` first to allocate resources, then running jupyter in the allocated session. Like this:
`salloc --nodes=1 --ntasks=1 --cpus-per-task=4 --mem=8G`
Then, once you’re in, run `jupyter notebook --no-browser --port=8888`. It’s a bit extra, but it works.