6 papers
Modeling and Chasing the Energy-Efficiency Sweet Spots in Modern GPUs
Ayesha Afzal, Markus Manfred Li, Michael Panzlaff
Energy consumption is a key limitation in high-performance computing on heterogeneous CPU-GPU systems. This work studies how hardware configuration affects energy-to-solution under…
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…
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…
GROMACS Unplugged: How Power Capping and Frequency Shapes Performance on GPUs
Ayesha Afzal, Anna Kahler, Georg Hager +1
Molecular dynamics simulations are essential tools in computational biophysics, but their performance depend heavily on hardware choices and configuration. In this work, we present…
Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
Ayesha Afzal, Georg Hager, Gerhard Wellen
We propose a novel, lightweight, and physically inspired approach to modeling the dynamics of parallel distributed-memory programs. Inspired by the Kuramoto model, we represent MPI…
Analytic Roofline Modeling and Energy Analysis of LULESH Proxy Application on Multi-Core Clusters
Ayesha Afzal, Georg Hager, Gerhard Wellein
We present a thorough performance and energy consumption analysis of the LULESH proxy application in its OpenMP and MPI variants on two different clusters based on Intel Ice Lake (…