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Julia for High-Performance Computing

A 3.5-day workshop that will take place in Stuttgart the High Performance Computing Center Stuttgart (HLRS) in September 2022.

Course page: https://www.hlrs.de/training/2022/julia
Instructor: Carsten Bauer (PC2)
Organizers: Michael Schlottke-Lakemper (HLRS), Carsten Bauer (PC2)

Hosted by the High Performance Computing Center Stuttgart (HLRS) and the Paderborn Center for Parallel Computing (PC2).

                       

Tentative schedule

Handout

I prepared a little digital handout (PDF version) for the course which contains some practical information about Hawk and the local machines. For example, it gives brief instructions on how to get an interactive compute-node session with Julia on the cluster.

Optional: Preparing for the workshop (if you bring your own device)

Important note: We will provide preconfigured Laptops for the course and you don't need to bring your own device! If you want to bring it, you should only use it to interactively follow along (Jupyter notebooks). You won't be able to use it for the exercises that are supposed to be done on the Hawk cluster as you won't be able to access the latter from your private device.

Software

What you need (in short):

Workshop materials & Julia dependencies

To download the workshop materials, i.e. this GitHub repository, and to install all Julia (and a few Python) dependencies, run the following:

git clone https://github.com/carstenbauer/JuliaHLRS22
cd JuliaHLRS22
julia install.jl

Note: I might still change some of the workshop materials. To be on the safe side, make sure you update your local instance of the repository right before the start of the workshop. (You can always delete your local copy and redownload/git pull.)

Optional: Install LIKWID

You can either try to install LIKWID yourself or use the following commands (to be executed at the root of the JuliaHLRS22 folder):

cd orga/likwid_local_install
sh install_likwid.sh

Static HTML

In case you don't have Jupyter and just want to follow along: The folder HTML/ contains all the main content (jupyter notebooks) in static HTML format.

Try it out live! (Beta)

Click on the Binder badge to dive right into the workshop materials.

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Julia for High Performance Computing Course @ HLRS

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