Linux Command Line

For working on High-Performance Computing (HPC) systems knowing basic Linux command line commands is essential to navigate files, launch and monitor jobs, control the powerful computational resources, and automate complex workflows efficiently – and this is exactly what this course provides.

This course is targeted for our new users who might not have worked on the Linux command line before. You will learn how to login to the ASC systems and step-by-step we will show you how to work on the Linux command line and a few basic things that will help you to organize your workflows on the cluster. Focusing on hands-on teaching throughout the course, you will immediately try out what you've heard and adapt it to your own needs.

After attending this course you are prepared for and might consider to continue with the course Introduction to Working on the ASC Clusters to be able to use the ASC supercomputers and especially their queuing system efficiently.

Agenda & Content

For a detailed timetable and additional information, please see Agenda & Content in the left menu.

Target audience, eligibility & prices

This course is for users of HPC systems who need to learn the Linux command line basics.

This course is open and free of charge for users (or soon to be users) of the ASC systems only.

Entry level & prerequisites

Basic – no previous knowledge is required for this course.

Course format

This course will be delivered as a LIVE ONLINE COURSE (using Zoom).

Hands-on labs

All participants will get a temporary user account on one of the ASC systems to do the hands-on labs.

You will use your own laptop or workstation to connect to ASC and do the hands-on exercises. If you use Windows please install the following software packages prior to the course: PuTTY and FileZilla or winscp.

Accepted participants will be contacted a few days before the course and asked to do a short pre-assignment that has to be completed before the course starts.

Lecturers

Luis Casillas-Trujillo (ASC Research Center, TU Wien) 
Dr. Luis Casillas-Trujillo joined ASC in July 2024. He received his PhD in Materials Science from the University of Tennessee, focusing on computational materials science. He also holds a masters degree in applied math and technical physics from Politechnika Gdanska. For his postdoc at Linkoping University in Sweden, he studied dislocations properties, focusing on the effect of magnetic disorder on the dislocation core structure of iron, and also joined the National Supercomputer Center (NSC) as an application expert with a focus in providing support to users that use material science simulation software, such as LAMMPS, VASP, and WIEN2k. He has vast user experience in multiple HPC centers such as NSC, PDC, HPC2N in Sweden, LUMI, LEONARDO, Meluxina in Europe, and also HPC systems in the USA with NERSC and local clusters at the University of Tennessee. His current research interests are in machine learning interatomic potentials for dislocation properties in high entropy alloys.

Atul Singh (ASC Research Center, TU Wien) 
Dr. Atul Singh is currently working as an engineer in the software team at Austrian Scientific Computing ASC, TU Wien. He holds a PhD as a Marie Skłodowska-Curie Fellow from the University of Southampton, UK, in engineering design optimization, and has previously worked as an HPC specialist at the University of Nottingham, UK. During his MSc studies at the University of Rostock, Germany, he completed internships at several academic and industrial institutions, including the Chair of Aero Engine Design at BTU Cottbus, Germany, CINECA Supercomputing Center as a PRACE Summer of HPC 2018 participant in Bologna, Italy, and Scania in Södertälje, Sweden, where he worked on exhaust aftertreatment systems. This centers his expertise in engineering optimization, artificial intelligence, computational fluid dynamics, and simulations to name a few.

Language

English

Date, time, and location

02.03.2026, 09:00 – 16:00 CET, LIVE ONLINE COURSE (using Zoom)

Registration

Registration is required, the registration form can be found on top of this page in the menu on the left.

Please register with your official institutional email address to prove your affiliation.

You will get an automatic confirmation via email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.

Following your successful registration, you will receive further information a few days before the course.

Please do not hesitate to contact us at training@asc.ac.at if you have any questions.

Waitinglist

After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email (training@asc.ac.at) stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).

To be able to do the hands-on labs on the ASC systems please provide your full international mobile-phone number for the two-factor authentication required to login to the ASC systems.

Modification, withdrawal & no-show policy

Your registration is binding. Please only register for the course if you are really going to attend.

You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").

Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@asc.ac.at).

No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.

Organizers

This course is organized by Austrian Scientific Computing ASC (aka ASC Research Center, TU Wien).