OpTC – A Toolchain for Deployment of Neural Networks 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
Publisher: Springer Vieweg
City/Town: Wiesbaden
Pages Range: pp 65–81
Conference Proceedings Title: Proceeding of the 2024 Stuttgart International Symposium on Automotive and Engine Technology
Event location: Stuttgart
ISBN: 978-3-658-45017-5
DOI: 10.1007/978-3-658-45018-2_4
Abstract
The AURIX 2xx and 3xx families of TriCore microcontrollers are widely used in the automotive industry and, recently, also in applications that involve machine learning tasks. Yet, these applications are mainly engineered manually, and only little tool support exists for bringing neural networks to TriCore microcontrollers. Thus, we propose OpTC, an end-to-end toolchain for automatic compression, conversion, code generation, and deployment of neural networks on TC3xx microcontrollers. OpTC supports various types of neural networks and provides compression using layer-wise pruning based on sensitivity analysis for a given neural network. The flexibility in supporting different types of neural networks, such as multi-layer perceptrons (MLP), convolutional neural networks (CNN), and recurrent neural networks (RNN), is shown in case studies for a TC387 microcontroller. Automotive applications for predicting the temperature in electric motors and detecting anomalies are thereby used to demonstrate the effectiveness and the wide range of applications supported by OpTC.
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
How to cite
APA:
Heidorn, C., Hannig, F., Riedelbauch, D., Strohmeyer, C., & Teich, J. (2024). OpTC – A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers. In André Casal Kulzer, Hans-Christian Reuss, Andreas Wagner (Eds.), Proceeding of the 2024 Stuttgart International Symposium on Automotive and Engine Technology (pp. pp 65–81). Stuttgart, DE: Wiesbaden: Springer Vieweg.
MLA:
Heidorn, Christian, et al. "OpTC – A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers." Proceedings of the 2024 Stuttgart International Symposium on Automotive and Engine Technology, Stuttgart Ed. André Casal Kulzer, Hans-Christian Reuss, Andreas Wagner, Wiesbaden: Springer Vieweg, 2024. pp 65–81.
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