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 HPS group is tightly integrated into the GWDG AG Computing group with more than 25 people.

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

  • Tree species classification from airborne LiDAR using individual crown delineation and machine learning, Hauke Kirchner (Master's Thesis), Advisors: Dr. N. Knapp, , BibTeX
  • Taxonomical read assignment with filtered spaced \ word matches at varying taxonomic levels, Hauke Kirchner (Bachelor's Thesis), Advisors: Prof. Morgenstern, , BibTeX
  • 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
  • On comparative results concerning the Grundy and b-chromatic number of graphs, Zoya Masih (PhD Thesis), Advisors: Manouchehr Zaker, 2021-10-12, BibTeX
  • Open source vehicle ECU diagnostics and testing platform, Ashcon Mohseninia (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, 2021-04-29, Thesis BibTeX