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Autumn HPC School '26
29 September - 9 October
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September 29, 2026 2 min read
HPC School
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Autumn HPC School '26

Supercomputing at the Autumn HPC School! This 2-week program is perfect for students and researchers keen to explore the world of AI, quantum computing, and high-performance computing. Join us for our excellent keynotes and workshops and unlock the power of HPC.

Be part of our free event and select tracks that match your interests. Seats are limited, so make sure to register quickly to secure your spot! For the latest information, including up-to-date session locations, always check hpc-training.nl, and see quantumeindhoven.nl for the dedicated Eindhoven Quantum Computing Workshop embedded within the school.

This HPC School is made possible through the collaboration between the TU/e Supercomputing Center, SURF, & EuroCC Netherlands.

Participants will have the opportunity to engage with leading experts in the field, gaining insight into the latest advancements and methodologies in supercomputing. The program is designed to be both comprehensive and accessible, ensuring that attendees of various experience levels can benefit fully from the sessions.

In addition to the structured workshops, there will be networking opportunities where attendees can connect with peers and industry leaders. This is an excellent chance to discuss potential collaborative projects, share ideas, and build relationships within the HPC community.

Don't miss out on this incredible opportunity to advance your knowledge and skills in AI and high-performance computing. Secure your spot today and be part of a transformative experience that will enhance your research and career potential in the field of supercomputing.

For questions or feedback about the HPC school, including reservations, email us at hpc-training@tue.nl!

Speakers

  • Gérson Fernandes
    HPC Simulations Specialist
  • Alain van Hoof
    Cluster Administrator
  • Dr. Andreas Knüpfer is Head of the Scientific Computing Core at CASUS (Center for Advanced Systems Understanding), Görlitz, Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR).
  • Together We Accelerate The Breakthroughs That Advance Our World. NXP builds solutions -- not just products -- that enhance the capabilities of people, organizations and the world at large. We are committed to keeping our customers ahead of the competition and helping them to prepare for change.
  • Anna Kashkanova is an assistant professor of Nanoparticle Metrology in the research cluster for Molecular Biosensing at the TU/e department of Applied Physics. Her research focuses on the development of advanced metrology tools to characterize complex biological and synthetic nanoparticles. Traditional analytical methods often rely on ensemble averages, which obscure the critical multiparametric heterogeneity found in populations of viruses, extracellular vesicles, and gene therapy vectors. Her lab builds platforms that measure multiple physical and chemical properties of every individual particle simultaneously to resolve this diversity.
  • Jesús J. del Pozo Mellado works as a postdoc at the Coherence and Quantum Technology group in the Department of Applied Physics at Eindhoven University of Technology. He works on cutting-edge, full-stack quantum computing systems, encompassing quantum hardware, software, and algorithms. His expertise in statistical mechanics, precision measurements, and molecular spectroscopy uniquely position him to tackle the profound challenges posed by quantum computing.
  • Ariana Torres did her bachelor in Physics in Mexico, followed by an MSc in Physics and Material Science in a joint program between the ENS-Lyon and the University of Amsterdam. In 2016 she finished her PhD (cum laude) in the Computational Chemistry group at the University of Amsterdam, followed by a postdoc in Polymer Chemistry at the same university. She joined SURF to help with quantum computing projects and currently works on several quantum projects related to chemistry, quantum internet, and emulators, with different Dutch universities.
  • Matthias Möller is an Associate Professor in the Department of Applied Mathematics, section Numerical Analysis, at TU Delft and the Scientific Director of the Delft Institute for Computational Science and Engineering. His research centers on the development of computational methods for numerical simulation and design optimization, working at the intersection of classical scientific computing and emerging hardware-accelerated paradigms, including quantum computing.
  • Sagar Dolas is Senior Advisor & Program Manager at SURF. He leads initiatives related to Advanced Computing and focuses on the future of applications and infrastructure for scientific research, with a background in high-performance computing and applied mathematics.
  • Guus Bertens
    Quantum Computing / Cluster Administrator

Schedule

  • Tue
    29
    Sep
    HPC Primer - 1
    An introductory guide to HPC essentials for beginners, covering remote terminal setup, bash scripting, file management, job execution with SLURM, and an overview of TU/e's Supercomputing Center.
    10:00 - 14:00 TU/e Campus
  • Wed
    30
    Sep
    HPC Primer - 2 (inc. RDM for HPC workflows)
    Covers SSH connections & keys, using git version control on a supercomputer, and the fundamentals of Research Data Management (RDM) applied to supercomputing.
    10:00 - 14:00 TU/e Campus
    • 10:00 - 12:00
      Git for HPC workflows
    • 12:30 - 14:00
      Research Data Management (RDM) for HPC workflows
  • Thu
    01
    Oct
    Intro. to Supercomputing, File Systems & LUMI
    Understand what high-performance computing is, learn the basics of clusters and supercomputers, get hands-on with the national supercomputer Snellius, and learn how to choose the right file system for the job.
    10:00 - 17:00 TU/e Campus
  • Fri
    02
    Oct
    Eindhoven Quantum Computing Workshop
    A multidisciplinary workshop addressing the emerging field of Quantum Computing: what it is, what it is not, and how it relates to Supercomputing/HPC. Participants gain a broad overview and insight into Quantum Computing, plus hands-on experience with current Quantum algorithms.
    09:30 - 17:30 TU/e Campus
    • 09:30 - 10:15
      Quantum 101
    • 10:15 - 10:45
      Quantum @ SURF
    • 11:00 - 11:30
      Quantum & CFD
    • 11:30 - 12:15
      Panel Discussion: Quantum Hype?
    • 13:15 - 16:00
      Hands on Quantum Computing with Quantum Inspire
    • 16:00 - 16:30
      CQT Quantum Lab Tour
    • 16:30 - 17:30
      Networking Drinks
  • Mon
    05
    Oct
    Massively Parallel Job Submission & HPC Efficiency
    Learn how to efficiently run large numbers of independent jobs using SLURM arrays and QCG-PilotJob, followed by a session on monitoring energy and performance with the EAR dashboard.
    10:00 - 16:00 TU/e Campus
    • 10:00 - 12:30
      Massively Parallel Job Submission on Supercomputers
    • 13:15 - 16:00
      HPC Efficiency: Profiling, EAR dashboard
  • Tue
    06
    Oct
    Large-Scale Data Version Control for HPC with Git and DataLad
    Learn how to version control research data with git and DataLad, including large binary files, collaborate through a git forge, and add machine-actionable reproducibility to your HPC workflows on Slurm.
    09:30 - 16:00 TU/e Campus
  • Wed
    07
    Oct
    GPU Computing 1 & 2
    An introduction to parallel computing architectures and GPU programming with Python, using Numba and PyCUDA on Snellius' Nvidia A100 and H100 GPUs.
    09:30 - 16:00 TU/e Campus
    • 11:30 - 12:15
      Keynote: NXP
  • Thu
    08
    Oct
    High-Performance Deep-Learning
    Enhance your deep learning efficiency by setting up a software environment, optimizing file I/O, leveraging CPU/GPU capabilities, profiling PyTorch, and utilizing parallel computing.
    09:30 - 16:00 TU/e Campus
    • 11:30 - 12:15
      Keynote: Anna Kashkanova (TU/e)
  • Fri
    09
    Oct
    Visualization with (Remote) Paraview & Blender
    Get to know the fundamentals of scientific visualisation using ParaView's 3D data manipulation model and pipelines, followed by an introduction to producing attractive images and animations from 3D scientific data using Blender.
    09:30 - 16:30 TU/e Campus
    • 09:30 - 12:30
      Visualization with (Remote) Paraview
    • 13:30 - 16:30
      Scientific Visualisation with Blender: Data, Lights, Camera, Action! (introduction)

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