Research
Research Scope and Projects
Our group’s main research focus is the novel architecture and programming paradigm of modular supercomputing. This encompasses communication networks for optimized interaction and scheduling of disaggregated resources such as CPU and GPU clusters. Additionally, we focus on the integration of future non-von-Neumann architectures, especially quantum processors, as modular compute resources for performing hybrid quantum-HPC calculations. We also explore design concepts of modular data centers.
Research Topics
- Simulation and Analysis of Heterogeneous Network and Storage Infrastructures in HPC and MSA systems
- Modular and Automated Monitoring/Analysis of System Utilization and Workload Behavior in HPC systems
- Parallel I/O and Storage Optimization of Emerging Application Workloads and their I/O Subsystems (DL, AI, Big Data, Workflows etc.)
- Container Standards and Container Monitoring in HPC Systems
- HPC System Benchmarking – Taxonomy, Comparability, Reproducibility
- Analysis of Correlation between Generated Network Traffic Patterns and File Access Patterns / Network Traffic and I/O
- Integration of non-von-Neumann architectures such as quantum computers into modular supercomputing systems
- Design, Porting, Benchmarking and Practical Use of Quantum Algorithms
- Hybrid HPC-Quantum-Computing Algorithms
