Alexander Jung
Alexander Jung
University of Tübingen
Dpt. of Computer Science
Embedded Systems
Sand 13
72076 Tübingen
Germany
- Telephone
- +49 - (0) 70 71 - 29 - 75940
- Telefax
- +49 - (0) 70 71 - 29 - 50 62
- Office
- Sand 13, B202
- Office hours
- Open Door Policy
Research Interests
- Abstract software characterization
- Performance analysis
- Performance prediction
- Heterogeneous architectures
Publications
2025
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators
by Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Mika Markus Müller, Federico Nicolás Peccia, Felix Thömmes, Jannik Steinmetz, Valentin Biermaier, Adrian Frischknecht, Paul Palomero Bernardo, and Oliver BringmannIn ACM Trans. Embed. Comput. Syst. 24(2). Association for Computing Machinery, 2025.
Keywords: Deep neural networks, performance estimation, analytical model
2024
It’s all about PR – Smart Benchmarking AI Accelerators using Performance Representatives
by Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck, and Oliver BringmannPeer-reviewed publication, 2024.
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
by Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, and Oliver BringmannPeer-reviewed publication, 2024.
2022
Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators
by Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, and Oliver BringmannIn 2022 International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES), pages 27-28, 2022.
Keywords: Machine Learning, Neural Networks, Performance Prediction, Neurnal Network Accelerators
2021
APPEL - AGILA ProPErty and Dependency Description Language
by Christoph Grimm, Frank Wawrzik, Alexander Jung, Konstantin Luebeck, Sebastian Post, Johannes Koch, and Oliver BringmannIn Proceedings Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV) Workshop 2021, 2021.
2019
Systematic RISC-V based Firmware Design
by Vladimir Herdt, Daniel Große, Rolf Drechsler, Christoph Gerum, Alexander Jung, Joscha Benz, Oliver Bringmann, Michael Schwarz, Dominik Stoffel, and Wolfgang KunzIn 2019 Forum for Specification and Design Languages, FDL 2019, Southampton, United Kingdom, September 2-4, 2019, 2019.
Research projects
Teaching
| Advanced Topics in Embedded Systems | Summer 2019 |
|---|---|
| Efficient Machine Learning in Hardware | Summer 2021 Summer 2022 |
| Modellierung und Analyse von Eingebetteten Systemen | Winter 2022 Winter 2023 Winter 2024 |
| Moderne Architekturen Eingebetteter Systeme | Winter 2019 Winter 2020 |
| Programming Ultra Low Power Architectures | Summer 2020 Summer 2021 Summer 2022 Summer 2023 Summer 2024 Summer 2025 |
| Proseminar: Moderne Architekturen Eingebetteter Systeme | Winter 2021 |
| Seminar: Eingebettete Systeme | Summer 2019 Summer 2020 |
| Teamprojekt: Sprachverarbeitung auf einer IoT-Plattform | Summer 2019 Summer 2020 |