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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 GWDG, the Department of Computer Science of the University of Reading, and the Scientific Computing Group of the University of Hamburg.

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

  • Performance Analysis of Convolutional Neural Network Applying Quantum Annealing, Aasish Kumar Sharma (Master's Thesis), Advisors: Sanjeeb Prasad Pandey, 2020-12-30, BibTeX URL
  • The Potential of Serverless Kubernetes-Based FaaS Platforms for Scientific Computing Workloads, Jonathan Decker (Master's Thesis), Advisors: Dr. Julian Kunkel, 2022-01-31, BibTeX URL
  • Open source vehicle ECU diagnostics and testing platform, Ashcon Mohseninia (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2021-04-29, Thesis BibTeX
  • 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

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  • Last modified: 2022-05-11 15:44
  • by Julian Kunkel