The article introduces PICO, a framework for accelerating CNN inference on mobile devices through pipeline cooperation. It addresses challenges in mapping CNN to devices and optimizing inference workload distribution. The framework features graph partition and many-to-many mapping algorithms, improving throughput by 1.8 ∼6.8× in experiments with Raspberry-Pi devices. Challenges include redundant calculations due to CNN properties and complex structures like DAGs.
In un'altra lingua
dal contenuto originale
arxiv.org
Approfondimenti chiave tratti da
by Xiang Yang,Z... alle arxiv.org 03-26-2024
https://arxiv.org/pdf/2206.08662.pdfDomande più approfondite