Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers
Heidorn C, Hannig F, Riedelbauch D, Strohmeyer C, Teich J (2024)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2024
Event location: Angers
ISBN: 978-989-758-703-0
Abstract
This paper proposes an approach for efficiently deploying neural network (NN) models on highly resource-constrained 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.
Authors with CRIS profile
Christian Heidorn
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Frank Hannig
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Jürgen Teich
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Related research project(s)
Involved external institutions
Germany (DE)How to cite
APA:
Heidorn, C., Hannig, F., Riedelbauch, D., Strohmeyer, C., & Teich, J. (2024). Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers. In SCITEPRESS (Eds.), Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS). Angers, FR.
MLA:
Heidorn, Christian, et al. "Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers." Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Angers Ed. SCITEPRESS, 2024.
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