Differences

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--- cluster:usage_tips:startslurm [2025/08/07 14:31] – bjorn
+++ cluster:usage_tips:startslurm [2025/08/11 11:16] (current) – bjorn
@@ Line 6: / Line 6: @@
 \\
 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 [[https://code.visualstudio.com/|VScode]]\\
 ==== About the user environment : ====
 Each user has his home folder, the path is [/mount/home/<username>]\\
-The home should have 2 files, a readMe.lst file and template (slurm) script file (exampleJob.sh)\\
+The home folder should have 2 files, a readMe.lst file and template (slurm) script file (exampleJob.sh)\\
   - 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.\\
   - However user can setup and install their Python modules locally without a Python virtual environment, by using Pip3 install <Module>\\
   - The cluster gives users access to memory, cpu and GPU. The script file has instructing the slurm cluster what to do\\
-  - To execute your job on the cluster, first update exampleJob.sh to run your code (or make a copy)\\ Then submit your job to the queue with command **sbatch exampleJob.sh**
+  - 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.
+  - 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**
 \\
@@ Line 38: / Line 40: @@
 Miniconda\\
 Aaconda\\
+[[cluster:usage_tips:advancedSlurm|Advanced tips]]\\