Infinite Storage
Infinite Possibilities

High-Performance Storage

The research group High-Performance Storage improves the capabilities of storage landscapes applying smart concepts. We speak big data analytics and high-performance computing and apply our knowledge to meet the needs of environmental modeling.

Further information about our mission.

The virtual research group connects members from the Department of Computer Science of the University of Reading, the DKRZ, and the Scientific Computing Group of the University of Hamburg; it tightly collaborates with the research group Advanced Computing for Environmental Science (ACES).

Explore our research using the power of machine learning, click on a keyword to see relevant documents.

  • Beamer Slide Composition, Joseph Dyer (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2019-06-09, Thesis BibTeX
  • Recognition of Company Mergers Using Interactive Labeling and Machine Learning Methods, Anne Lorenz (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, Doris Birkefeld, 2019-05-08, Thesis BibTeX
  • Accessibility Assistance for the Interactive Navigation of Texts, Imad Hamoumi (Master's Thesis), Advisors: Patricio Farrell, Dr. Julian Kunkel, 2019-01-28, Thesis BibTeX
  • Entwicklung eines computergesteuerten Akteurs für das kooperative Spielen in einem dyadischen Geschicklichkeitsspiel, Melanie Budde (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2019-01-17, Thesis BibTeX
  • Comparing Naïve Bayesian Networks to Support Vector Machines to predict Stock Prices Based on Press Release Sentiment, Max Lübbering (Master's Thesis), Advisors: Dr. Julian Kunkel, Patricio Farrell, 2018-12-04, Thesis BibTeX