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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).

Blog news

Ongoing projects with HPS involvement

Recent talks

  • IO-500 (George Markomanolis, John Bent, Jay Lofstead, Dr. Julian Kunkel), BoF: The IO-500 and the Virtual Institute for IO, ISC HPC, Frankfurt, Germany, 2019-06-18 Presentation
  • The Virtual Institute for IO (Dr. Julian Kunkel), BoF: The IO-500 and the Virtual Institute for IO, ISC HPC, Frankfurt, Germany, 2019-06-18 Presentation
  • One Year HPC Certification Forum in Retrospective (Dr. Julian Kunkel), Workshop on HPC Education and Training for Emerging Technologies (HETET19), ISC HPC, Frankfurt, Germany, 2019-06-20 Presentation
  • Data-Centric I/O and Next Generation Interfaces (Dr. Julian Kunkel), HPC IODC Workshop, ISC HPC, Frankfurt, Germany, 2019-06-20 Presentation
  • Tracking User-Perceived I/O Slowdown via Probing (Dr. Julian Kunkel), HPC IODC Workshop, ISC HPC, Frankfurt, Germany, 2019-06-20 Presentation

Recent publications

  • Interference of Billing and Scheduling Strategies for Energy and Cost Savings in Modern Data Centers (Julian Kunkel, Hayk Shoukourian, Reza Heidari, Torsten Wilde), 2019-04-19 BibTeX DOI PDF
  • A blueprint for the new Strategic Research Agenda for High Performance Computing (Gabriel Antoniu, Marc Asch, Peter Bauer, Costas Bekas, Pascale Bernier-Bruna, Francois Bodin, Laurent Cargemel, Paul Carpenter, Marc Duranton, Maike Gilliot, Hans-Christian Hoppe, Jens Krueger, Julian Kunkel, Erwin Laure, Jean-Francois Lavignon, Guy Lonsdale, Michael Malms, Fabio Martinelli, Sai Narasimhamurthy, Marcin Ostasz, Maria Perez, Dirk Pleiter, Andrea Reale, Pascale Rosse-Laurent), 2019-04 BibTeX URL
  • Towards Green Scientific Data Compression Through High-Level I/O Interfaces (Yevhen Alforov, Anastasiia Novikova, Michael Kuhn, Julian Kunkel, Thomas Ludwig), 2019-02-21 BibTeX DOI
  • Toward Understanding I/O Behavior in HPC Workflows (Jakob Lüttgau, Shane Snyder, Philip Carns, Justin M. Wozniak, Julian Kunkel, Thomas Ludwig), 2019-02-11 BibTeX DOI
  • Cost and Performance Modeling for Earth System Data Management and Beyond (Jakob Lüttgau, Julian Kunkel), 2019-01-25 BibTeX DOI PDF

Recent theses

  • 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
  • Understanding Customer Behaviour to Optimize Product Sorting for E-Commerce Websites, Amina Voloder (Master's Thesis), Advisors: Dr. Julian Kunkel, Antonia Wrobel, 2018-08-07, Thesis BibTeX