Session

DescriptionReal-life application scenarios raise three important demands on IoT devices: higher accuracy (smarter), higher performance (faster), and lower resource consumption (more efficient). This session explores the hardware-software co-optimization of intelligent algorithms for diverse IoT devices and application scenarios, making IoT devices smarter, faster, and more efficient. The papers address low-power data processing on edge devices, Processing-In-Memory architecture design, real-time DNN scheduling on MCUs, and a practical deployment of learning-based Heating, Ventilation, and Air Conditioning (HVAC) controllers.