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- [ ] Todo List |
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19^th^ | 19th | ||
H~2~O | H2O | ||
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[link text](https:// "title") | Link | ||
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`Code` | Code |
在筆記中貼入程式碼 | |
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Emoji list | |
{%youtube youtube_id %} | Externals | ||
$L^aT_eX$ | LaTeX | ||
:::info This is a alert area. ::: |
This is a alert area. |
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Running interactive Jupyter notebook on Rackham
1. Start an interactive session from the login node
2. Start jupyter notebook from the interactive session (when it gets allocated)
3. Connect to the running notebook
Keep this session open and running. Note the node on which you are got the interactive job i.e. something like "r141".
If you are connected to Rackham via Thinlinc session, open a browser with the link you got but modified to point to r141 i.e.
http://r141:8888/?token=5c3aeee9fbfc75f7a11c4a64b2b5b7ec49622231388241c2
If you use ssh to connect to Rackham, you need to forward the port of the interactive node to your local computer.
https://uplogix.com/docs/local-manager-user-guide/advanced-features/ssh-port-forwarding
On your computer open the address you got but replace r141 with localhost i.e.
http://localhost:8888/?token=5c3aeee9fbfc75f7a11c4a64b2b5b7ec49622231388241c2
This should bring the jupyter interface on your computer and all calculations and files will be on Rackham.
Tutorial from other HPC computer centers
Running Jupyter on Slurm
Connect to this remote Jupyter notebook server from VSCode
Contacts:
tags:
UPPMAX
,SNIC
,jupyter notebook
,RT225511
,VSCode