Performance Analysis of Convolutional Neural Networks on Embedded Systems

Łukasz Grzymkowski; Tomasz Stefański

Performance Analysis of Convolutional Neural Networks on Embedded Systems

Abstract

Machine learning is no longer confined to cloud and high-end server systems and has been successfully deployed on devices that are part of Internet of Things. This paper presents the analysis of performance of convolutional neural networks deployed on an ARM microcontroller. Inference time is measured for different core frequencies, with and without DSP instructions and disabled access to cache. Networks use both real-valued and complex-valued tensors and are tested using different inference engines. We conclude that the system must be tuned in a holistic way to achieve optimal efficiency.

Authors (2)

Łukasz Grzymkowski mgr inż.
Tomasz Stefański dr hab. inż.

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

EMBEDDED SYSTEMS, DEEP LEARNING, EDGE COMPUTING, MACHINE LEARNING

Details

Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language:: Polish
Publication year:: 2020
Bibliographic description:: Grzymkowski Ł., Stefański T.: Performance Analysis of Convolutional Neural Networks on Embedded Systems// / : , 2020,
Verified by:: Gdańsk University of Technology