DycSe: A Low-Power, Dynamic Reconfiguration Column Streaming-Based Convolution Engine for Resource-Aware Edge AI Accelerators

DycSe: A Low-Power, Dynamic Reconfiguration Column Streaming-Based Convolution Engine for Resource-Aware Edge AI Accelerators

Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as image recognition sensors on robotics, door lockers, drones, and remote sensing satellites. Instead of using a general-purpose processor (GPP) or graphic processing unit (GPU), an edge AI accelerator brings a...

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Bibliographic Details
Main Authors: Weison Lin, Yajun Zhu, Tughrul Arslan
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Low Power Electronics and Applications
Subjects:
edge AI accelerator
CNN
dynamic reconfiguration
fault tolerance
Online Access:https://www.mdpi.com/2079-9268/13/1/21

Internet

https://www.mdpi.com/2079-9268/13/1/21

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