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20242026
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cs.DC2026

Coupling Complementary Simulations for Combined Performance and Energy Optimization

Adel Dabah, Gregor Häfner, Sonja Happ +3

Polymer simulations are among the most computationally demanding workloads in soft-matter research, often requiring days of execution and high energy consumption to achieve physica…

cs.DC2026

Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project

Carolin Penke, Chelsea Maria John, Jan Ebert +2

The training of large language models (LLMs) requires substantial computational resources, complex software stacks, and carefully designed workflows to achieve scalability and effi…

cs.DC2026

Efficient Accelerated Graph Edit Distance Computation on GPU

Adel Dabah, Andreas Herten

Graph representation is a powerful abstraction of real-world objects and relations. Computing the Graph Edit Distance (GED) between graphs is critical in domains such as bioinforma…

cs.DC2025

An HPC Benchmark Survey and Taxonomy for Characterization

Andreas Herten, Olga Pearce, Filipe S. M. Guimarães

The field of High-Performance Computing (HPC) is defined by providing computing devices with highest performance for a variety of demanding scientific users. The tight co-design re…

cs.DC2024

Energy-aware operation of HPC systems in Germany

Estela Suarez, Hendryk Bockelmann, Norbert Eicker +19

High-Performance Computing (HPC) systems are among the most energy-intensive scientific facilities, with electric power consumption reaching and often exceeding 20 megawatts per in…

cs.DC2024

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Gabin Schieffer, Ruimin Shi, Stefano Markidis +3

Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap betwe…