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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 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.

  • Protein Ai “A Platform for Predicting Protein Structures based on the Molecule's Sequence with ChatBot Interface for Analysis” (Hasan Marwan Mahmood Aldhahi), Industry Internship (M.Inf.2802) at GWDG on Applied Data Science, M.Sc., GWDG, 2025-03-31 Presentation
  • Revolutionizing System Reliability: The Role of AI in Predictive Maintenance Strategies (Michael Bidollahkhani), CLOUD COMPUTING 2024 (The Fifteenth International Conference on Cloud Computing, GRIDs, and Virtualization), IARIA, 2024-04
  • Data at Scale in ESiWACE: Progress of WP4 (Bryan Lawrence, Dr. Julian Kunkel), ESiWACE Annual General Assembly, Virtual, 2021-09-27 Presentation
  • Input/Output and Middleware (Dr. Julian Kunkel), Summer School on Effective HPC for Climate and Weathe, Virtual, 2021-08-23 Presentation Video
  • Lifting the user I/O abstraction to workflow level a possibility or in vain? (Dr. Julian Kunkel), Dagstuhl Seminar, Schloß Dagstuhl, 2021-08-16 Presentation

  • Machine Learning with BART: Performance Analysis and Memory Footprints of Various Optimizers, Han Sun (Bachelor's Thesis), Advisors: Dr. Julian Kunkel, Patrick Höhn, 2026-01-07, Thesis BibTeX
  • Optimisation of microscopy image analysis with HPC, Sören Wieduwilt (Master's Thesis), Advisors: Dr. Julian Kunkel, Prof. Dr. Constantin Pape, 2026-01-02, Thesis BibTeX
  • Achieving Scalable AI Inference in a Unified Cloud and HPC Environment by Employing System of Systems Architecture Design, Jonathan Decker (PhD Thesis), Advisors: Dr. Julian Kunkel, 2025-11-10, Thesis BibTeX URL
  • Benchmarking Network Acceleration in Kubernetes Clusters with 2nd Gen NVIDIA BlueField DPUs, Siddharth Simediya (Master's Thesis), Advisors: Dr. Julian Kunkel, Patrick Höhn, 2025-10-29, Thesis BibTeX
  • Performance Analysis and Resource Prediction for OCR-D Workflows on HPC, Abdallah Mohamed Abdallah Abdelnaby (Master's Thesis), Advisors: Dr. Julian Kunkel, Parisa Memarmoshrefi, 2025-09-24, Thesis BibTeX

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  • Last modified: 2025-08-16 11:15
  • by Julian Kunkel