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Abstract: Convolutional Neural Networks (CNNs) are now quintessential kernels within embedded computer vision applications deployed in edge devices. Heterogeneous Multi-Processor Systemon- Chips (HMPSoCs) with Dynamic Voltage and Frequency Scaling (DVFS) capable components (CPUs and GPUs) allow for lowlatency, low-power CNN inference on resource-constrained edge devices when employed efficiently.