Research
Visit our GitHub page to find our most recent research projects: https://github.com/NeuwirthLab!
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Research Topics
Modular and automated monitoring and analysis infrastructures for HPC systems
Holistic performance engineering and operational data analytics
Novel techniques and tools for performance evaluation and prediction
Performance modeling, benchmarking, prediction, and I/O characterization studies of emerging HPC workloads (DL, AI, Big Data, Workflows etc.)
Micro-benchmarking, application benchmarking – Workflows, Reproducibility, Comparability, Portability
High-performance I/O middleware libraries, I/O services, metadata and complex data management
Tuning and auto-tuning of emerging HPC applications and algorithms
High-level parallel programming languages and frameworks
Correlation between network communiation and data access patterns
Innovative approaches for extreme-scale storage systems and multi-tier HPC architectures
Research Projects
Past Research Projects
