send email to (help@ru.is) with your full name

For Windows you can use Putty or Powershell to connect from command line
With Linux or Mac, open a terminal to connect ssh user@compute.ru.is
Visual Studio Code can also be used for remote connection and work on the cluster, see how to.

Each user has a home folder [/home/<user>] where all work is done
The path for student home folder is a little different [/student/<user>]
For those who are using Python, we recommend using a python virtual environment,for more flexibility,

• venv [for example : python3 -m venv myProject] or
  
• conda, but python and pip are installed on the cluster.
  
• Pip can also be used to install modules in your home folder, current Python version is 3.9.2.

All users log onto the Login node of the Slurm cluster and run their projects there, but to capture the power of the cluster, one has to submit jobs to the queue (workload manager)
To use slurm workload manager for your job, you first create a executable batch file with info about the job and the run your job with sbatch myJob.sh
In you home directory there is an readMe and template script file (myJob.sh), which can be adjusted to each job's need
Please refrain from running heavy interactive jobs on the login node.

Example batch file
#!/bin/bash
#SBATCH --account=staff
#SBATCH --job-name=MyJob
#SBATCH --gpus-per-node=1
#SBATCH --mem-per-cpu=2G
#SBATCH --output=myBatch.log
This example file is in each user's home folder, to view cat myJob.sh

• - Good to have, if possible
• What are the steps you job needs, does one part have to finish before another can run etc
• An estimate of the how many tasks
• what resource each task needs (CPU, memory, GPU)
• Does every step require the same resources
• An estimate of how long the will run

Visual Studio Code can also be used through SSH
Miniconda & Anaconda
Use this email help@ru.is for access requests, inquiries etc.