Annexe-GRICAD/Jupyter-lab-on-Gricad.md

+[<img width="800px" src="https://gricad-gitlab.univ-grenoble-alpes.fr/talks/fidle/raw/master/fidle/img/00-Fidle-header-01.svg"></img>](#)
+
+**MAY BE OBSOLETE**
+
+## Running Jupyter Lab
+
+Here is a quick procedure **configure** and **run** Jupyter Lab with **fidle notebooks**.
+
+## Start Jupyter at **GRICAD**  
+
+Almost as simple :
+
+1. **SSH to the front-end dahu server :**  
+`# ssh f-dahu.ciment`  
+The configuration of ssh is described in the [wiki](https://gricad-gitlab.univ-grenoble-alpes.fr/talks/fidle/-/wikis/howto-ssh)
+
+1. **Add Gricad and fidle settings in your environment**  
+On f-dahu or luke :  
+`echo 'source /applis/site/env.bash' >> ~/.bashrc`  
+`echo 'export PATH=$PATH:/bettik/PROJECTS/pr-fidle/bin' >> ~/.bashrc`  
+
+1. **Get a node :**  
+
+   - During the **Fidle Session** of March 9 and 10 :   
+     **march 10, on f-dahu** : `oarsub -I -t inner=5878875 -t gpu --project=formation-deeplearning -l /core=8/gpudevice=1,walltime=08:00:00`  
+     **marh 10, on Luke** : `oarsub -I -t inner=29109211 --project=formation-deeplearning -l {"hasgpu='YES'"}/core=6,walltime=08:00:00`  
+
+
+   - Under normal circumstances :  
+     for a gpu node : `# oarsub -I -t gpu -l /nodes=1/gpudevice=1,walltime=1:0:0 --project formation-deeplearning`  
+     for a cpu node : `# oarsub -I  -l /nodes=1/cpu=1,walltime=1:0:0 --project formation-deeplearning`  
+
+1. **Start Jupyter :**  
+`# jupyter_start` 
+  - Choose *fidle* environment from list
+  - And open this link in a browser : http://localhost:8889
+
+
+----
+[<img width="80px" src="https://gricad-gitlab.univ-grenoble-alpes.fr/talks/fidle/raw/master/fidle/img/00-Fidle-logo-01.svg"></img>](#)
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