activity
20192026
most citedPropagation and Decay of Injected One-Off Delays on Clusters: A Case Study

17 citations · 58 across the 14 of their papers we have counts for

collaborators

16 papers

cs.DC2026

Exploiting the Interplay of Compute- and Memory-Bound kernels in MPI Applications

Ayesha Afzal, Krishna Manda, Georg Hager

Parallel applications are often designed for synchronous, lock-step execution, treating communication stalls as performance hazards. Yet, in a communication-light application witho…

cs.DC2026

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…

cs.DC2026

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…

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.DC2025

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…

cs.DC2025

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…

cs.DC2024

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 (…

cs.DC2023

Physical Oscillator Model for Supercomputing

Ayesha Afzal, Georg Hager, Gerhard Wellein

A parallel program together with the parallel hardware it is running on is not only a vehicle to solve numerical problems, it is also a complex system with interesting dynamical be…

cs.PF2023★ 4 cited

SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids Infiniband Clusters: A Performance and Energy Case Study

Ayesha Afzal, Georg Hager, Gerhard Wellein

In this work, fundamental performance, power, and energy characteristics of the full SPEChpc 2021 benchmark suite are assessed on two different clusters based on Intel Ice Lake and…

cs.DC2023

Making Applications Faster by Asynchronous Execution: Slowing Down Processes or Relaxing MPI Collectives

Ayesha Afzal, Georg Hager, Stefano Markidis +1

Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper s…

cs.DC2022★ 2 cited

Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications

Ayesha Afzal, Georg Hager, Gerhard Wellein +1

This paper studies the utility of using data analytics and machine learning techniques for identifying, classifying, and characterizing the dynamics of large-scale parallel (MPI) p…

cs.DC2022★ 12 cited

The Role of Idle Waves, Desynchronization, and Bottleneck Evasion in the Performance of Parallel Programs

Ayesha Afzal, Georg Hager, Gerhard Wellein

The performance of highly parallel applications on distributed-memory systems is influenced by many factors. Analytic performance modeling techniques aim to provide insight into pe…

cs.DC2021★ 10 cited

Analytic Modeling of Idle Waves in Parallel Programs: Communication, Cluster Topology, and Noise Impact

Ayesha Afzal, Georg Hager, Gerhard Wellein

Most distributed-memory bulk-synchronous parallel programs in HPC assume that compute resources are available continuously and homogeneously across the allocated set of compute nod…

cs.DC2020★ 2 cited

An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs

Ayesha Afzal, Georg Hager, Gerhard Wellein

Complex applications running on multicore processors show a rich performance phenomenology. The growing number of cores per ccNUMA domain complicates performance analysis of memory…

cs.DC2020★ 11 cited

Desynchronization and Wave Pattern Formation in MPI-Parallel and Hybrid Memory-Bound Programs

Ayesha Afzal, Georg Hager, Gerhard Wellein

Analytic, first-principles performance modeling of distributed-memory parallel codes is notoriously imprecise. Even for applications with extremely regular and homogeneous compute-…

cs.PF2019★ 17 cited

Propagation and Decay of Injected One-Off Delays on Clusters: A Case Study

Ayesha Afzal, Georg Hager, Gerhard Wellein

Analytic, first-principles performance modeling of distributed-memory applications is difficult due to a wide spectrum of random disturbances caused by the application and the syst…