Christoph Gerum
Christoph Gerum
Universität Tübingen
Fachbereich Informatik
Lehrstuhl Eingebettete Systeme
Sand 13
72076 Tübingen
- Telefon
- +49 - (0) 70 71 - 29 - 78971
- Telefax
- +49 - (0) 70 71 - 29 - 50 62
- Büro
- Sand 13, B206
- Sprechstunde
- nach Vereinbarung
Veröffentlichungen
2021
Dynamic Range and Complexity Optimization of Mixed-Signal Machine Learning Systems
by Naci Pekcokguler, Dominique Morche, Adrian Frischknecht, Christoph Gerum, Andreas Burg, and Catherine DehollainIn 2021 IEEE International Symposium on Circuits and Systems (ISCAS), pages 1-5, 2021.
Keywords: keyword spotting, analog feature extraction, machine learning classifier, dynamic range reduction, system complexity optimization
Behavior of Keyword Spotting Networks Under Noisy Conditions
by Anwesh Mohanty, Adrian Frischknecht, Christoph Gerum, and Oliver BringmannIn International Conference on Artificial Neural Networks (ICANN), 2021.
Keywords: Keyword spotting, High noise conditions, Adaptive batch normalization, Sinc convolution network, Temporal convolution ResNet.
2020
UltraTrail: A Configurable Ultra-Low Power TC-ResNet AI Accelerator for Efficient Keyword Spotting
by Paul Palomero Bernardo, Christoph Gerum, Adrian Frischknecht, Konstantin Lübeck, and Oliver BringmannIn 2020 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), pages 1-12, 2020.
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.
2018
Advancing Source-Level Timing Simulation using Loop Acceleration
by Joscha Benz, Christoph Gerum, and Oliver BringmannIn 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), pages 1393–1398. IEEE, 2018.
2017
Timing Models for Fast Embedded Software Performance Analysis
by Oliver Bringmann, Christoph Gerum, and Sebastian OttlikIn Handbook of Hardware/Software Codesign, pages 655–682, 2017.
Context-sensitive timing automata for fast source level simulation
by Sebastian Ottlik, Christoph Gerum, Alexander Viehl, Wolfgang Rosenstiel, and Oliver BringmannIn Design, Automation & Test in Europe Conference & Exhibition, DATE 2017, Lausanne, Switzerland, March 27-31, 2017, pages 512–517, 2017.
2015
Improving accuracy of source level timing simulation for GPUs using a probabilistic resource model
by Christoph Gerum, Wolfgang Rosenstiel, and Oliver BringmannIn 2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2015, Samos, Greece, July 19-23, 2015, pages 18–25, 2015.
Source level performance simulation of GPU cores
by Christoph Gerum, Oliver Bringmann, and Wolfgang RosenstielIn Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, DATE 2015, Grenoble, France, March 9-13, 2015, pages 217–222, 2015.
Forschungsprojekte
Lehre
| Advanced Topics in Embedded Systems | Summer 2016 Summer 2017 Summer 2018 Summer 2019 |
|---|---|
| Efficient Machine Learning in Hardware | Summer 2021 |
| Grundlagen der Rechnerarchitektur | Winter 2012 Winter 2013 Winter 2014 Winter 2015 Winter 2016 Winter 2017 Winter 2018 |
| Moderne Architekturen Eingebetteter Systeme | Summer 2017 Winter 2018 Winter 2019 Winter 2020 |
| Parallele Rechnerarchitekturen | Summer 2012 Summer 2013 Summer 2014 Summer 2015 Summer 2016 Summer 2017 Summer 2018 Summer 2019 |
| Programmierprojekt: Carmaker | Summer 2014 |
| Proseminar: Moderne Architekturen Eingebetteter Systeme | Winter 2021 |
| Seminar: Embedded Systems | Summer 2013 |