Early-Stage Dynamic Power Estimation for CNN Accelerator Design via Frequency-Scalable Polynomial Regression
Energy efficiency is a critical design constraint in FPGA-based embedded systems that deploy convolutional neural networks (CNNs). Rapid and accurate exploration methods facilitate optimized implementations. This paper proposes a frequency-scalable power modeling framework for CNN intel-lectual property (IP) libraries...