With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Abstract: Mobile-edge computing (MEC) affords high-computing power but lacks sensing capability. Furthermore, intelligent vehicles, which possess rich sensing resources, consume limited energy.
Abstract: Heterogeneous multicore computing architectures have fundamentally transformed the computational potential of modern mobile devices by enabling parallel and energy-aware task execution.
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