Registration - VU HPC Winter Course 2026

Join the course this winter to learn more about applying multiprocessing, scientific computing, and machine learning on a high-performance computing (HPC) system.

The VU HPC Winter Course is organized on several days between March 2nd and March 13th. You are free to register for any combination the workshops listed below.

For any questions regarding the course, please send an email to itvo.it@vu.nl

This workshop is targeted for anyone who would like to get into (high performance) computing but needs to work on the basic requirements of using the terminal and/or working with version control software. We will go through two online software carpentry tutorials in 'flipped classroom' style., most material is for self-paced study but we will also cover some key examples together.
Recommended prerequisite knowledge: None
Trainer: Wiebe Timmers & Kostas Vilkelis (VU)
Room: TBA
58 of 60 spots available
In this training you will: understand what is high-performance computing (HPC), learn basic details on clusters and supercomputers, do practical exercises on the national supercomputer Snellius effectively, apply the essential best practices on how to work effectively with large HPC systems.
Recommended prerequisite knowledge: Basic knowledge of the Unix shell
Trainer: Carlos Teijeiro Barjas (SURF)
Room: TBA
32 of 35 spots available
This workshop brings a follow-up to the first introductory Supercomputing workshop (part 1), where you can take a deeper dive into the use of supercomputers with a special focus on efficiency and good practices. Topics that will be covered: Fundamentals of performance analysis, File systems, Slurm hybrid tasks and QCG pilot jobs.
Recommended prerequisite knowledge: Introduction to Supercomputing I
Trainer: Carlos Teijeiro Barjas (SURF)
Room: TBA
27 of 29 spots available
This workshop brings a follow-up to the first two introductory Supercomputing workshops (part 1 & 2) and covers more details and best-practices on parallel programming (Python)
Recommended prerequisite knowledge: Introduction to Supercomputing I & II
Trainer: Carlos Teijeiro Barjas (SURF)
Room: TBA
24 of 26 spots available
This workshop will teach you the theoretical ánd practical basics of deep learning. In the course, you’ll learn how deep neural networks work and how they are optimized.
Recommended prerequisite knowledge: Python, Basics of linear algebra, Basic statistics
Trainer: TBA
Room: TBA
58 of 60 spots available
Axelera AI (https://axelera.ai/) is one of the largest european AI silicon companies. The workshop will touch upon the current Edge, HPC and AI landscape and will contain a practical tutorial on how to get started with AI accelerators.
Recommended prerequisite knowledge: None
Trainer: TBA
Room: TBA
107 of 110 spots available
During this workshop you will have the opportunity to work on a high-performance system with different types of data, and learn how to tune your model to obtain optimal results in the most efficient way.
Recommended prerequisite knowledge: Python, Basics of linear algebra, Basic statistics
Trainer: TBA
Room: TBA
32 of 34 spots available