Slurm is a workload manager,scheduler system. It's build from computer nodes, 1 node is the Login Node, a master node and worker node's
The login node is called cheetah.sleep.ru.is 130.208.209.30.
The cluster is a linux environment, connect with SSH

Open a terminal to log-in ssh <myUser>@cheetah.sleep.ru.is
Those who use Rivendell 130.208.209.30 (and other sleep servers) can also connect with any editor which supports SSH like VScode

Each user has his home folder, the path is [/mount/home/<username>]
The home folder should have 2 files, a readMe.lst file and template (slurm) script file (exampleJob.sh)

1. The first step for users is to make sure their working environment fits their needs.
   For those who are using Python, we recommend, for ease of use, using a Python virtual environment
   User can then install different version of Python and all necessary modules for their work.
   
2. However user can setup and install their Python modules locally without a Python virtual environment, by using Pip3 install <Module>
   
3. The cluster gives users access to memory, cpu and GPU. The script file has instructing the slurm cluster what to do
   
4. Users can change the slurm instructions in the script file, but it's not necessary for it to work, just append your command to it.
5. A example of how to execute your job on the cluster; first create a file prufa.py in your home directory, append the line python3 prufa.py to exampleJob.sh
   Then submit your job to the queue with command sbatch exampleJob.sh

Your template script file (exampleJob.sh) looks like this
#!/bin/bash
#SBATCH --account=staff
#SBATCH --job-name=sleepJob
#SBATCH --gpus-per-node=1
#SBATCH --mem-per-cpu=2G
#SBATCH --output=Slurm.log


Python venv
Miniconda
Aaconda

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