activity
20242026
collaborators

6 papers

cs.DC2026

ClusterBench: A Framework for Cluster-Wide Continuous Benchmarking and Regression Testing

Aditya Ujeniya, Jan Eitzinger, Thomas Gruber +2

Data centers need tooling that validates an entire installation rather than individual nodes, at acceptance and at regular intervals thereafter. This requires dispatching identical…

cs.DC2026

Wattlytics: A Web Platform for Co-Optimizing Performance, Energy, and TCO in HPC Clusters

Ayesha Afzal, Georg Hager, Gerhard Wellein

The escalating computational demands and energy footprint of GPU-accelerated computing systems complicate informed design and operational decisions. We present the first release of…

cs.PF2026

Architectural Trade-offs in the Energy-Efficient Era: A Comparative Study of power-capping NVIDIA H100 and H200

Aditya Ujeniya, Jan Eitzinger, Georg Hager +1

Modern NVIDIA GPUs like the H100 (HBM2e) and H200 (HBM3e) share similar compute characteristics but differ significantly in memory interface technology and bandwidth. By isolating…

cs.PF2026

AI Application Benchmarking: Power-Aware Performance Analysis for Vision and Language Models

Martin Mayr, Sebastian Wind, Lukas Schröder +4

Artificial Intelligence (AI) workloads drive a rapid expansion of high-performance computing (HPC) infrastructures and increase their power and energy demands towards a critical le…

cs.DC2025

On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs

Rafael Ravedutti Lucio Machado, Jan Eitzinger, Georg Hager +1

This paper discusses the challenges encountered when analyzing the energy efficiency of synthetic benchmarks and the Gromacs package on the Fritz and Alex HPC clusters. Experiments…

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…