FinGraV reconstructs fine-grain GPU power profiles for sub-millisecond AI kernels by synchronizing CPU-GPU clocks, binning execution times, and separating steady-state execution from steady-state power.
Accurate and Convenient Energy Measurements for GPUs: A Detailed Study of NVIDIA GPU’s Built-In Power Sensor,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AR 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
FinGraV reconstructs fine-grain GPU power profiles for sub-millisecond AI kernels by synchronizing CPU-GPU clocks, binning execution times, and separating steady-state execution from steady-state power.