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Spring HPC School '25
1-3 April & 7-11 April
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Spring HPC School '25

Supercomputing at the Spring HPC School! This 2-week program is perfect for students and researchers keen to explore the world of AI 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!

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!

Schedule

  • Tue
    01
    Apr
    HPC Primer I
    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.
    09:30 - 15:30 Neuron 0.262
    • 12:30 - 13:30
      Lunch
  • Wed
    02
    Apr
    HPC Primer II
    Learn about secure SSH connections, setting up Git for version control, and understanding repository licenses in day two of the HPC Primer.
    09:30 - 15:30 Neuron 0.246
    • 12:30 - 13:30
      Lunch
  • Thu
    03
    Apr
    Introduction to Supercomputing & LUMI
    Unleash the potential of clusters, supercomputers, and LUMI—Europe's fastest—for extensive computations, AI applications, and advanced data analyses.
    09:30 - 15:00 Neuron 0.262
    • 09:30 - 12:30
      Introduction to Supercomputing
    • 12:30 - 13:30
      Lunch
    • 13:30 - 15:00
      LUMI: pre-exascale compute facilities for TU/e researchers
  • Mon
    07
    Apr
    Parallel jobs & Profiling
    Explore two distinct courses: one on optimizing supercomputer resource utilization through job concurrency with the QCG PilotJob framework, and another offering insights into high-performance hybrid systems with a focus on architecture, configuration, performance analysis models, and the Roofline model application.
    09:30 - 16:00 Neuron 0.354
    • 09:30 - 12:30
      Embarrassingly Parallel jobs
    • 12:30 - 13:30
      Lunch
    • 13:30 - 16:00
      Fundamentals of performance analysis
  • Tue
    08
    Apr
    High Performance Machine Learning 1
    Engage in a two-day, hands-on course to master deep learning basics, optimize neural network models with Keras, and harness high-performance computing clusters.
    09:30 - 17:00 Neuron 0.354
    • 12:30 - 13:30
      Lunch
  • Wed
    09
    Apr
    High Performance Machine Learning 2
    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 - 17:00 Neuron 0.354
    • 11:30 - 12:30
      Keynote: Vlado Menkovski
    • 12:30 - 13:30
      Lunch
  • Thu
    10
    Apr
    GPU computing in Python using PyCUDA
    Learn to leverage NVIDIA GPUs in Python using PyCUDA, from basic concepts to advanced parallel computation techniques.
    09:30 - 16:00 Neuron 0.354
    • 11:30 - 12:30
      Keynote: Evert van Vliet (ASML)
    • 12:30 - 13:30
      Lunch
  • Fri
    11
    Apr
    ParaView for (remote) visualization
    This course offers practical exercises and advanced topics in scientific visualization using ParaView.
    09:30 - 16:30 Neuron 0.354
    • 11:30 - 12:30
      Keynote: University Racing Eindhoven
    • 12:30 - 13:30
      Lunch

Speakers

  • Gérson Fernandes
    HPC Simulations Specialist
  • Alain van Hoof
    Cluster Administrator
  • His research interests span from studying how Machine Learning approaches can benefit natural sciences to applications in high-tech industry settings. He was recently fortunate to be part of exciting collaborations focusing on the detection of miRNA in bioinformatics, quantification of turbulence intensity, and the detection of the state of plasma confinement in fusion in applied physics. He also works on enhancing the use of expert knowledge in building ML models.
  • Experienced Engineer with a demonstrated history of working in the semiconductors industry. Skilled in Computational Fluid Dynamics, Management, STAR-CCM+, OpenFOAM, LBM .... Strong engineering professional with a Master's degree focused in Applied Physics from Delft University of Technology.
  • University Racing Eindhoven (URE) is a student team of Eindhoven University of Technology. The team stands for technological innovation, teamwork and a passion for engineering. By competing in the Formula Student competition, the world's largest engineering design competition that takes place all over the world, we try to push ourselves and our cars to new limits! Using a combination of the engineering skills of all the members and some help from our dear partners, we are able to build a high-tech, innovative electric and autonomous Formula-style race-car every year. During the Formula Student events, the result of our hard work is put to the test. Determination to be the very best comes from a passion for engineering that lies deep within every one of our team members, resulting in something epic year after year. However, the events aren't only about winning, they are also a perfect place to share information with other teams and technological companies to develop new ideas.

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