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ZIH HPC Documentation

This is the documentation of the HPC systems and services provided at TU Dresden/ZIH. Resources are funded by Nationales Hochleistungsrechnen (NHR) and the Free State of Saxony.

This documentation will be continuously updated, since we try to incorporate more information with increasing experience and with every question you ask us.

If the provided HPC systems and services helped to advance your research, please cite us. Why this is important and acknowledgment examples can be found in the section Acknowledgement.

News

  • JupyterHub will be discontinued in March 2027. Please switch to Open OnDemand.
  • Next Introduction to HPC at ZIH presentation will take place on November 4th 2026 8.30am - 1pm (online). Details and BBB link
  • 2026-10-27 Systems offline due to security vulnerability
  • Due to a security vulnerability, several systems, including parts of the TU Dresden self-service portal and the project management software, have been taken offline. The affected systems are gradually being upgraded. Until these upgrades are complete, some workflows will be slightly different:
    • External users and guest accounts: Instead of completing the web form in the self-service portal, users must fill out the PDF form and send it to hpc-support@tu-dresden.de. Digital signatures are sufficient.
    • Courses and bulk registrations: Project administrators are asked to send a signed email to hpc-support@tu-dresden.de, including the relevant login credentials and the course's project name.
    • Project statistics: Statistics can be requested by emailing hpc-support@tu-dresden.de. Please keep such requests to a minimum.
    • Non-NHR applications: Applications for non-NHR projects cannot be submitted at this time. Existing HPC projects, i.e. HPC access will not expire due to these circumstances.
  • 2025-11-20 Quokka Filesystem is ranked 23rd on the IO500 list (10 node production)
  • 2025-09-04 Updated Alpha Centauri
  • 2025-09-04 High IOPS filesystem quokka added for Alpha Centauri and Romeo

HPC Buddy

Feel free to test our HPC Buddy, which might directly answer your question using knowledge from this documentation.

More information about the HPC Buddy

Support and Consultation

We offer regular public and personal consultation opportunities with HPC experts and NHR specialist consultants for life and earth system sciences.

Training and Courses

We offer a rich and colorful bouquet of courses from classical HPC introduction (HPC introduction slides) to various Performance Analysis and Machine Learning trainings. Please refer to the page Training Offers for a detailed overview of the courses and the respective dates at ZIH.

The recorded presentation of the HPC introduction course is divided by topic and available for viewing:

Furthermore, Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI Dresden/Leipzig offers various training opportunities with HPC focus. Current schedule and registration is available at the ScaDS.AI trainings page.

TU Dresden is one of the NHR centres and part of the Gauss Alliance. Trainings offered by these organisations can be found in the HPC Calendar.

Contribution

The HPC team invites you to take part in the improvement of these pages by correcting or adding useful information. Your contributions are highly welcome!

The easiest way for you to contribute is to report issues via the GitLab issue tracking system. Please check for any already existing issue before submitting your issue in order to avoid duplicate issues.

Please also find out the other ways you could contribute in our guidelines how to contribute.

Reminder

Non-documentation issues and requests need to be send to hpc-support@tu-dresden.de.

No other pages link to this page.