Oct 24 – 25, 2023
Europe/Vienna timezone

Login Instructions (Hands-On Labs)

Hands-on labs will be done using VSC-5 – Austria's flagship supercomputer.

Login for the participants will be possible (unlocked)        
from Tuesday, 24 October 2023, 08:30 CEST to Wednesday, 25 October 2023, 19:00 CEST.

GPUs (node allocation) for the participants will be available        
when the first hands-on lab starts at 10:00 CEST.

We will login (ssh) with a shared user (trainee99) and provide the password in Zoom.        
There will be 20 GPU nodes each with 2 GPUs (NVIDIA A100) reserved for the course,        
i.e., 2 participants share 1 node and each participant gets interactive access to 1 (own) GPU.        
Please take care to not interfere with the other participants!


VSC login for the CUDA course


1. Start your local X (if available)!

2. Login to vsc5:

        ssh -tX trainee99@vmos.vsc.ac.at vsc5

   You'll be asked for your password twice (on vmos and on vsc5):

        The password will be provided in Zoom.

2.a. PuTTY settings – only for those who use Windows together with PuTTY:

        If you use  PuTTY please enter (see screenshot):                       
           HostName: vmos.vsc.ac.at                      
           Port: 22                      
           Connection type: SSH                      
           Left menu --> SSH --> Remote command: vsc5                      
           Open --> in terminal - login as: trainee99

        You'll be asked for your password twice (vmos and vsc5):                      
        Note, the password will be invisible when you type it.


3. When you are logged in to vsc5, figure out your node, ID (working directory), and GPU: 

        grep -i yourname PARTICIPANTS_GPU

        e.g. for tony: grep -i tony PARTICIPANTS_GPU 
        Tony   Testing    ssh -X n3071-002   cd ~/02   export CUDA_VISIBLE_DEVICES=1

4. Use your node, ID (working directory), and GPU (copy from above output):

4.a. ssh command to access your node

        ssh -X n...

4.b. cd command to your own directory

        cd ~/..

4.c. switch to use your own GPU

        export CUDA_VISIBLE...

4.d. spack-load & setup cuda@11.6.2

        source ~/cuda_setup.sh