📄️ Getting started
Getting an account
📄️ Using Maxwell
There are several ways on how you can connect to Maxwell
📄️ Running a job
For this tutorial I'll be creating an empty folder called tutorial in my sharedscratch
📄️ Slurm interactive session
One of the common beginner mistake when prototyping or running something on the HPC is to run the job on the login node, which technically should be fine if you're not running something that requires intensive resources. This is where Slurm interactive session comes into play. With Slurm interactive session we can run our programs within HPC clusters in real-time. So instead of using login node with the limited resource that it has, we can utilise the nodes in a full shell session.
📄️ Managing files and directories
As a member of the lab, you will have access to three different storage resources:
📄️ Managing packages
Introduction
📄️ Running a Jupyter Server
Introduction
📄️ Working with R interactively
From time to time you may be required to work with R script as most of the bioinformatics/computational biology packages are written in R (need citation). In your local computer, working with R may appear fairly easy as you can always install RStudio Desktop and execute your R script there. But what if you want to run a script that requires high memory and your computer doesn't have enough RAM? Yes you can always rely on Maxwell! It's pretty straightforward to work with R on HPC as you can just create a ready-to-run R script and run it using the Rscript command.
📄️ Workspaces
Haries' directory
📄️ Smart Backup between Maxwell and Uni Server
Oh no Maxwell went down for a week because of some maintenance and all of my files are on Maxwell, what I am gonna do now? Of course I'm gonna spend the rest of the week playing my favorite RPG
📄️ Singularity on Maxwell
Introduction
📄️ Frequently asked questions
Collection of the frequently asked questions, shoutout to Sean Andrew Buchan (Digital Research Analyst at the University of Aberdeen) for answering most of the questions