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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.

  • AI-Powered Smart Cities (Michael Bidollahkhani), 2026 BibTeX URL
  • An Empirical Evaluation of Quantum-Inspired QUBO Methods for Heterogeneous HPC Workflow Mapping and Scheduling (Aasish Kumar Sharma, Christian Boehme, Julian Martin Kunkel), 2026 BibTeX
  • Design and Implementation of Integrated AI Scheduler for Dynamic Cloud Workloads Allocation in Kubernetes Environments (Michael Bidollahkhani, Aasish K. Sharma, Sachin P. Nanavati, Mohsen Seyedkazemi Ardebili, Giorgi Mamulashvili, Mirac Aydin, Felix Stein, Mojtaba Akbari, Julian M. Kunkel), 2026 BibTeX DOI
  • Enabling Kubernetes Workload Execution on Rootless HPC Systems with KSI: A Slurm Integration Framework (Jonathan Decker, Mojtaba Akbari, Ali Doosthosseini, Sören Metje, Aasish Kumar Sharma, Julian Kunkel), 2025-12 BibTeX URL
  • Poster: Heterogeneous HPC Compute Continuum: A Roadmap for Workflow Mapping and Scheduling From Sensor to Supercomputer (Aasish Sharma), 2025-11-20 BibTeX URL PDF

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