Setting workstation up
The $hostname$ of the new machines are
- ceg-cnc197009d.coeit.osu.edu
- ceg-dnc197129d.coeit.osu.edu
You can use this hostname to connect directly via SSH (for a terminal/non-graphical session) or via FastX v3 (for a graphical session).
The machine uses your OSU usernames and passwords for login, as with other OSU services. You must use VPN client Pulse to connect to OSU Engineering college and ssh to the Lambda workstation from there.
- Pulse VPN client installation and information can be found here
- ssh into system using
ssh ceg-cnc197009d.coeit.osu.edu -l username.number
ssh ceg-dnc197129d.coeit.osu.edu -l username.number
Follow the instructions below to set up your account for deep learning.
- Instructions for setting up Anaconda are found here and here
- Use pip3 to install pytorch:
pip3 install torch torchvision torchaudio
- Instructions for setting up the FastX v3 client are found here
- Install jupyter
conda install -c anaconda jupyter
Logging in and activating the deep learning environment
ssh into the system and use the following command to activate the environment
conda activate deep_learn
Once you are done, deactivate and logout
conda deactivate