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High Performance Computing (HPC) Tutorials

 Copyright (c) 2013-2018 UL HPC Team <>

This repository holds a set of tutorials to help the users of the UL HPC platform to better understand or simply use our platform.

This is the main page of the documentation for this repository, which relies on MkDocs and the Read the Docs theme. In particular, the latest version of these tutorials is available online:

The list of proposed tutorials is continuously evolving. They used on a regular basis during the UL HPC School we organise. So far, the following tutorials are proposed:

Category Description Level
Basic Getting Started on the UL HPC platform beginners
Monitoring & Profiling I: why, what, how, where to look beginners
HPC workflow with sequential jobs beginners
Scheduling Advanced scheduling with SLURM intermediate
Software Management Building [custom] software with EasyBuild beginners
Debuging & Profiling Know Your Bugs: Weapons for Efficient Debugging intermediate
Advanced debugging on the UL HPC platform intermediate
(OLD) Unified profiling and debugging with Allinea intermediate
(OLD) Direct, Reverse and parallel Memory debugging with TotalView intermediate
MPI Scalable Science I (Basics - OpenMP/MPI jobs) intermediate
OSU Micro-Benchmarks intermediate
High-Performance Linpack (HPL) benchmarking on UL HPC platform intermediate
HPCG benchmarking on UL HPC platform intermediate
Python (Advanced) Prototyping with Python beginners
(Advanced) Python: Use Jupyter notebook on UL HPC intermediate
Parallel machine learning with scikit-learn intermediate
Parallel evolutionary computing intermediate
Mathematics MATLAB (interactive, passive and sequential jobs) intermediate
Advanced MATLAB execution: checkpointing and parallel jobs advanced
R / Statictical Computing intermediate
Cplex / Gurobi intermediate
Bioinformatics Bioinformatics software on the UL HPC platform intermediate
Galaxy Introduction Exercise: From Peaks to Genes intermediate
CFD/MD/Chemistry Scalable Science II (Advanced - Computational Physics, Chemistry & Engineering apps) advanced
Big Data Running Big Data Application using Apache Hadoop and Spark intermediate
Machine/Deep Learning Machine and Deep learning workflows intermediate
Containers HPC Containers with Singularity advanced
Virtualization (OLD) Create and reproduce work environments using Vagrant intermediate
Deploying virtual machines with Vm5k on Grid'5000 intermediate
GPU Scalable Science III: GPU programming intermediate
Misc Reproducible Research at the Cloud Era intermediate

List of contributors

  • See docs/
  • In the advent where you want to contribute yourself to these tutorials, do not hesitate! See below for instructions.

Issues / Feature request


  • If you want to contribute to the code, you shall be aware of the way this module is organized.
  • These elements are detailed on docs/

Online Documentation


This project and the sources proposed within this repository are released under the terms of the GPL-3.0 licence.