Registration - VU HPC Winter Course 2026

Join the course this winter to learn more about applying multiprocessing, batch processing, 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 of the workshops listed below. All workshops are on-campus.

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. The largest part of the workshop is reserved for self-study but we will also cover some key examples together.
Recommended prerequisite knowledge: None
Trainer: Wiebe Timmers & Kostas Vilkelis PhD (VU)
Room: TBA
37 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
No 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
No 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
No 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
11 of 35 spots available
Axelera AI is the largest European AI silicon designer and AI infrastructure provider. Axelera team consists of industrial veterans from IBM, Intel, NVIDIA, Qualcomm, Imec, etc.  By combining proprietary digital in-memory computing (D-IMC) technology and RISC-V dataflow architecture, Axelera’s high-performance AI inferencing processors are powering AI applications from the edge to datacentres. The research and development at Axelera focuses on the full spectrum of AI infrastructure, from AI chip design to neural network architecture. This talk will show how Axelera’s AI processors and software platform provide a unified framework for the inferencing of modern neural networks.
Recommended prerequisite knowledge: None
Trainer: Matt Wang PhD (Axelera.ai)
Room: TBA
90 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
12 of 34 spots available