3 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Global Optimizations & Lightweight Dynamic Logic for Concurrency
Suchita Pati, Shaizeen Aga, Nuwan Jayasena +1
Modern accelerators like GPUs are increasingly executing independent operations concurrently to improve the device's compute utilization. However, effectively harnessing it on GPUs…
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives
Suchita Pati, Shaizeen Aga, Mahzabeen Islam +2
Large Language Models increasingly rely on distributed techniques for their training and inference. These techniques require communication across devices which can reduce scaling e…