Reducing the Power Consumption of Edge Devices Supporting Ambient Intelligence Applications
Anastasios Fanariotis,
Theofanis Orphanoudakis,
Vassilis Fotopoulos
Abstract:Having as a main objective the exploration of power efficiency of microcontrollers running machine learning models, this manuscript contrasts the performance of two types of state-of-the-art microcontrollers, namely ESP32 with an LX6 core and ESP32-S3 with an LX7 core, focusing on the impact of process acceleration technologies like cache memory and vectoring. The research employs experimental methods, where identical machine learning models are run on both microcontrollers under varying conditions, with parti… Show more
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