From the 1 of 5 linked papers with an AI index.
5 papers
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…
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
The paper compares NVIDIA H100 and H200 GPUs under different power caps, focusing on how memory bandwidth and power distribution affect performance per watt for compute‑bound and m…
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…
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…
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…