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Authors: Christian Heidorn 1 ; Frank Hannig 1 ; Dominik Riedelbauch 2 ; Christoph Strohmeyer 2 and Jürgen Teich 1

Affiliations: 1 Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany ; 2 Schaeffler Technologies AG & Co. KG, Herzogenaurach, Germany

Keyword(s): AURIX TriCore, Neural Networks, Thermal Monitoring.

Abstract: This paper proposes an approach for efficiently deploying neural network (NN) models on highly resourceconstrained microcontroller architectures, particularly AURIX TC3xx microcontrollers. Here, compression and optimization techniques of the NN model are required to reduce execution time while maintaining accuracy on the target microcontroller. Furthermore, especially on AURIX TriCores that are frequently used in the automotive domain, there is a lack of support for automatic conversion and deployment of pretrained NN models. In this work, we present an approach that fills this gap, enabling the conversion and deployment of so-called thermal neural networks on AURIX TC3xx microcontrollers for the first time. Experimental results on three different NN types show that, when pruning of convolutional neural networks is applied, we can achieve a speedup of 2.7× compared to state-of-the-art thermal neural networks.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Heidorn, C., Hannig, F., Riedelbauch, D., Strohmeyer, C. and Teich, J. (2024). Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers. In Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-703-0; ISSN 2184-495X, SciTePress, pages 64-75. DOI: 10.5220/0012563100003702

@conference{vehits24,
author={Christian Heidorn and Frank Hannig and Dominik Riedelbauch and Christoph Strohmeyer and Jürgen Teich},
title={Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers},
booktitle={Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2024},
pages={64-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012563100003702},
isbn={978-989-758-703-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers
SN - 978-989-758-703-0
IS - 2184-495X
AU - Heidorn, C.
AU - Hannig, F.
AU - Riedelbauch, D.
AU - Strohmeyer, C.
AU - Teich, J.
PY - 2024
SP - 64
EP - 75
DO - 10.5220/0012563100003702
PB - SciTePress

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