A characterization of 13,419 CNN configurations on two GPUs reveals target-dependent transferability, and the CARB ensemble predicts energy, latency, and memory with R2 around 0.99 while screening out over 90% of candidates.
Extremely randomized trees.Machine Learning, 63(1):3–42, Mar 2006
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CARB: A Characterization-Guided Framework for CNN Inference Cost Prediction and Deployment Screening
A characterization of 13,419 CNN configurations on two GPUs reveals target-dependent transferability, and the CARB ensemble predicts energy, latency, and memory with R2 around 0.99 while screening out over 90% of candidates.