1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AR2026★ 1 cited
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.DC2024
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters
Rutwik Jain, Brandon Tran, Keting Chen +2
Large-scale computing systems are increasingly using accelerators such as GPUs to enable peta- and exa-scale levels of compute to meet the needs of Machine Learning (ML) and scient…
cs.DC2022★ 1 cited
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems
Prasoon Sinha, Akhil Guliani, Rutwik Jain +3
Scientists are increasingly exploring and utilizing the massive parallelism of general-purpose accelerators such as GPUs for scientific breakthroughs. As a result, datacenters, hyp…