|
|
| (One intermediate revision by the same user not shown) |
| Line 1: |
Line 1: |
| | | #REDIRECT [[Compute Nodes#Connecting directly to a compute node]] |
| * Submit a slurm job, or start an interactive job on a node.
| |
| | |
| sinteractive
| |
| or for a Nvidia A100 GPU:
| |
| sinteractive -p gpu --gres=gpu:1 --constraint='nvidia&A100'
| |
| *
| |
| * Check on which node this job has landed
| |
| squeue -u $USER -l
| |
| * Add this to your machines ssh config in ~/.ssh/config
| |
| Host node* gpu*
| |
| Hostname %h.internal.anunna.wur.nl
| |
| ProxyJump login.anunna.wur.nl
| |
| User your_user_id
| |
| | |
| * You can now use your local terminal connecting to e.g. node201 directly, by:
| |
| | |
| ssh node201
| |
| | |
| * In VSCode :
| |
| in the VSCode GUI -> Open a remote Window -> Connect to Host...,type in the nodename. After a few seconds, VSCode is connected to the node.
| |
| | |
| Please be aware that once the slurm job finishes, the connection will be lost and your running processes will be killed.
| |
| Besides that, you are limited to the amount of RAM that you requested.
| |