3 papers
cs.AR2026
Wattchmen: Watching the Wattchers -- High Fidelity, Flexible GPU Energy Modeling
Brandon Tran, Matthias Maiterth, Woong Shin +2
Modern GPU-rich HPC systems are increasingly becoming energy-constrained. Thus, understanding an application's energy consumption becomes essential. Unfortunately, current GPU ener…
cs.PF2025
Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications
William F. Godoy, Oscar Hernandez, Paul R. C. Kent +8
We characterize the GPU energy usage of two widely adopted exascale-ready applications representing two classes of particle and mesh solvers: (i) QMCPACK, a quantum Monte Carlo pac…
cs.AR2025
Adding MFMA Support to gem5
Marco Kurzynski, Matthew D. Sinclair
In this work we have enhanced gem5's GPU model support to add Matrix Core Engines (MCEs). Specifically, on the AMD MI200 and MI300 GPUs that gem5 supports, these MCEs perform Matri…