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Before you run GPU jobs

TAURUS has a high‑performance GPU cluster for machine learning, AI training, and graphics workloads. It consists of two compute nodes, each with 8 NVIDIA L40S GPUs. You access the cluster from the TAURUS desktop using a terminal, where you submit jobs and check their status. Jobs are queued and run by Slurm (the system that schedules and manages resources). For consistent and reproducible software environments, workloads can run inside Singularity containers.

Open the terminal

Go to Menu in the top left corner, search for mate terminal, and click the application to start it.

Screenshot of TAAURUS

Improve terminal readability

The default terminal theme can be low contrast. To switch to a darker, higher‑contrast scheme:

  1. Go to Edit → Profile Preferences.

Screenshot of TAAURUS

  1. Open the Colors tab and uncheck Use colors from system theme.
  2. Select a dark built‑in scheme (e.g., "White on black"), then close the dialog.

Screenshot of TAAURUS

Nice-to-know Linux commands

Don’t worry if you’re new to Linux—these essentials will get you started.

Command Description Example
pwd Show current directory pwd
ls List files and folders ls -la (detailed list)
cd Change directory cd /media/project

Files and folders

Command Description Example
mkdir Create directory mkdir my_project
rm Remove file rm old_file.txt
rm -r Remove directory rm -r old_folder
cp Copy file cp file.txt backup/
cp -r Copy directory cp -r project/ backup/
mv Move/rename mv old_name.txt new_name.txt
cat Display file content cat script.py

Quick editing with nano

nano my_script.py  # Create or edit a file

Shortcuts:

  • Save: Ctrl + O, then Enter
  • Exit: Ctrl + X
  • Cut line: Ctrl + K
  • Paste: Ctrl + U
  • Search: Ctrl + W
  • Help: Ctrl + G

Know your directories

Personal user directory

When you open the terminal, you start in your personal home directory (e.g., /home/domain.aau.dk/user). You can use this location for private or temporary files, but be aware that it is not backed up and does not provide access to the GPU cluster.

Shared project directory

To work with project data and use the GPU cluster, switch to your project directory under /media. In the examples below, the project is named project—replace this with your actual project name.

What is my project directory called?

Show available projects with:

ls /media

Change to your project directory:

cd /media/project

Inside your project directory you will find three pre‑made folders:

  1. /media/project/data – store datasets and large inputs
  2. /media/project/work – keep scripts, notebooks, and code here
  3. /media/project/export – place files here that you plan to export out

Next steps

When ready, continue to: Running Jobs