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.

  • HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads (Michael Bidollahkhani, Aasish Kumar Sharma, Julian Kunkel), 2024-07 BibTeX
  • Poster: Deployment of an HPC-Accelerated Research Data Management System: Exemplary Workflow in HeartAndBrain Study (V. Telzki, H. tom Wörden, F. Spreckelsen, Hendrik Nolte, Julian Kunkel, U. Parlitz, S. Luther, M. Uecker, M. Bähr), 2024-02-29 BibTeX URL PDF
  • Distracted AI: Integrating Neuroscience-Inspired Attention and Distraction Learning in ANN (Michael Bidollahkhani, M. Raahemi, P. Haskul), 2024-02 BibTeX DOI
  • Revolutionizing system reliability: The role of AI in predictive maintenance strategies (Michael Bidollahkhani, Julian Kunkel), 2024 BibTeX URL
  • Poster: Transfer Learning Workflow for High-Quality I/O Bandwidth Prediction with Limited Data (Dmytro Povaliaiev, Radita Liem, Julian Kunkel, Jay Lofstead, Philip Carns), 2023-11-12 BibTeX URL PDF

  • Running Kubernetes Workloads on Rootless HPC Systems using Slurm, Sören Metje (Master's Thesis), Advisors: Prof. Dr. Julian Kunkel, Stefanie Mühlhausen, 2023-12, BibTeX URL
  • An HPC FaaS Runtime based on HPX and Modern Lightweight Isolation, Jakob Hördt (Master's Thesis), Advisors: Prof. Dr. Julian Kunkel, Sven Bingert, 2023-09, BibTeX URL
  • Enhancing Tree Segmentation in Large Forest Point Clouds with Synthetic Data, Ali Doosthosseini (Master's Thesis), Advisors: Prof. Dr. Julian Kunkel, Prof. Dr. Alexander Ecker, 2023-09, BibTeX
  • Learning to Attack: Automated Red Teaming Using Deep Reinforcement Learning, Sadegh Keshtkar (Master's Thesis), Advisors: Sahin Albayrak, 2022-05, BibTeX
  • Implementation of a Liquid Neural Network Control System for Multi-Join Cyber Physical ARM, Michael Bidollahkhani (Master's Thesis), Advisors: Ferhat Atasoy, Abdellatef Hamdan, 2023-06, BibTeX