An Efficient im2row-Based Fast Convolution Algorithm for ARM Cortex-M MCUs

An Efficient im2row-Based Fast Convolution Algorithm for ARM Cortex-M MCUs

With the rise of IoT and edge computing, deploying neural networks (NNs) on low-power edge computing devices is drawing more and more attention. In NNs, convolutional layers take up the majority of the computing cycles, especially when NNs are implemented on ARM processors. Therefore, it is necessar...

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Bibliographic Details
Main Authors: Peng Wang, Xiaoqin Wang, Rui Luo, Dingyi Wang, Mengjie Luo, Shushan Qiao, Yumei Zhou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
im2row (or im2col)
fast convolution algorithm
edge AI
embedded software
ARM Cortex-M
Online Access:https://ieeexplore.ieee.org/document/9530522/

Internet

https://ieeexplore.ieee.org/document/9530522/

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