Paul Palomero Bernardo
Paul Palomero Bernardo
Universität Tübingen
Fachbereich Informatik
Lehrstuhl Eingebettete Systeme
Sand 13
72076 Tübingen
- Telefon
- +49 - (0) 70 71 - 29 - 75458
- Telefax
- +49 - (0) 70 71 - 29 - 50 62
- Büro
- Sand 13, B205
- Sprechstunde
- by appointment
Veröffentlichungen
2024
A scalable risc-v hardware platform for intelligent sensor processing
by Paul Palomero Bernardo, Patrick Schmid, Oliver Bringmann, Mohammed Iftekhar, Babak Sadiye, Wolfgang Mueller, Andreas Koch, Eyck Jentzsch, Axel Sauer, Ingo Feldner, and othersIn 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), pages 1–5, 2024.
GOURD: Tensorizing Streaming Applications to Generate Multi-Instance Compute Platforms
by Patrick Schmid, Paul Palomero Bernardo, Christoph Gerum, and Oliver BringmannIn IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 43(11): 4166-4177, 2024.
Keywords: Integrated circuits, Actuators, Design automation, Shape, Memory architecture, Focusing, Edge AI, Hardware, Sensors, Data orchestration, hardware platform generation, multidimensional data flow, synchronization
Energy-Efficient Seizure Detection Suitable for Low-Power Applications
by Julia Werner, Bhavya Kohli, Paul Palomero Bernardo, Christoph Gerum, and Oliver BringmannIn IEEE International Joint Conference on Neural Networks (IJCNN), 2024.
2022
The Scale4Edge RISC-V Ecosystem
by Wolfgang Ecker, Peer Adelt, Wolfgang Mueller, Reinhold Heckmann, Milos Krstic, Vladimir Herdt, Rolf Drechsler, Gerhard Angst, Ralf Wimmer, Andreas Mauderer, Rafael Stahl, Karsten Emrich, Daniel Mueller-Gritschneder, Bernd Becker, Philipp Scholl, Eyck Jentzsch, Jan Schlamelcher, Kim Grüttner, Paul Palomero Bernardo, Oliver Bringmann, Mihaela Damian, Julian Oppermann, Andreas Koch, Jörg Bormann, Johannes Partzsch, Christian Mayr, and Wolfgang KunzIn 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), pages 808-813, 2022.
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
by Christoph Gerum, Adrian Frischknecht, Paul Palomero Bernardo, Tobias Hald, Konstantin Lübeck, and Oliver BringmannIn 2022 25th Euromicro Conference on Digital System Design (DSD), pages 1-8, 2022.
Keywords: Machine Learning, Neural Networks, AutoML, Neural Architecture Search
2021
Automated HW/SW Co-Design for Edge AI: State, Challenges and Steps Ahead
by Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Prebeck, and Muhammad ShafiqueIn Proceedings of the 2021 International Conference on Hardware/Software Codesign and System Synthesis, pages 11–20. Association for Computing Machinery, 2021.
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.
Forschungsprojekte
Lehre
Efficient Machine Learning in Hardware | Summer 2021 Summer 2022 |
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Moderne Architekturen Eingebetteter Systeme | Winter 2020 |
Proseminar: Moderne Architekturen Eingebetteter Systeme | Winter 2021 Winter 2022 |
Technische Informatik 3 - Praktikum Mikrocomputer | Summer 2024 |