From the 1 of 8 linked papers with an AI index.
8 papers
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…
Diagnosing Overhead in Dispatch Operations: Cross-architecture Observatory
Bole Ma, Jan Eitzinger, Harald Koestler +1
AlltoAll dispatch is the dominant bottleneck of MoE expert parallelism, and the interconnect community has responded with four families of mitigations: predictive sample placement,…
The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures
Bole Ma, Ayesha Afzal, Jan Eitzinger +1
Power capping is the standard GPU energy lever in LLM serving, and it appears to work: throughput drops, power readings fall, and energy budgets are met. We show the appearance is…
Decay of spin helices in XXZ quantum spin chains with single-ion anisotropy
Florian Lange, Frank Göhmann, Gerhard Wellein +1
Long-lived spin-helix states facilitate the study of non-equilibrium dynamics in quantum magnets. We consider the decay of transverse spin-helices in antiferromagnetic spin- XXZ…
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…