An analytical model for GPU power identifies architecture- and workload-dependent transition frequencies beyond which energy efficiency degrades, based on benchmarks on A40/A100/H100/H200 GPUs.
In: ICC 2025 - IEEE International Conference on Communications
5 Pith papers cite this work. Polarity classification is still indexing.
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Modeling and Chasing the Energy-Efficiency Sweet Spots in Modern GPUs
An analytical model for GPU power identifies architecture- and workload-dependent transition frequencies beyond which energy efficiency degrades, based on benchmarks on A40/A100/H100/H200 GPUs.