Oberseminar: High-Performance Systems

Contact Julian Kunkel, Jonathan Decker, Patrick Höhn
Location TBD
Time TBD
Language English
Module -
Credits -
Contact time TBD
Independent study TBD

This course targets PhD students as well as students working on their bachelor's or master's theses.

Every other week the course takes place both during winter and summer semesters regardless of lecture free time. Presentations from external guests and from students should encourage discussions about storage systems and further HPC topics as well as other topics that are relevant to researchers. The overall objective of this course is to train skills essential for research in HPC.

Meetings alternate every other week between two types. There are meetings with external guests focussing on the current status, developments or other aspects of current HPC research and then there are internal meetings, which focus on individual research, personal management and which may include the presentation of in-progress and incomplete research.

Please note that we plan to record sessions (lectures and seminar talks) with the intent of providing the recordings via BBB to other students but also to publish and link the recordings on YouTube for future terms. If you appear in any of the recordings via voice, camera or screen share, we need your consent to publish the recordings. See also this Slide.

  • No skills/knowledge is required
  • Apply computer science methods and develop solutions to problems in their area of application using in-depth subject knowledge.
  • Select and implement methods, algorithms and solution strategies appropriate to the problem.
  • Evaluate the efficiency of algorithms or program code.
  • Research, understand, and prepare literature for research and for applications.
  • Interpret acquired data and draw conclusions.
  • Commission, administer, and maintain storage systems and applications for their evaluation and improvement.
  • Apply selected software in the field of HPC and storage systems.
  • Design and perform suitable practical experiments.
  • Perform tasks from different application areas, taking into account the given technical, economic and social context.
  • Critically discuss economic, social, sustainable, ethical and legal aspects in the interaction of computer science and application domain.
  • Discuss effectively with colleagues, (potential) users, and the public about substantive issues and problems related to one's professional focus.
  • Present and communicate technical information, ideas, problems and solutions.
  • Organize one's own work and working time independently (self-competence).
  • To work effectively as an individual.
  • Present ideas and proposed solutions orally and in writing in a convincing manner (communication skills).
  • TBD
  • Impressum
  • Privacy
  • teaching/autumn_term_2023/oshps.txt
  • Last modified: 2023-08-28 10:40
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