Marc Reichenbach

Prof. Dr.-Ing.
Marc Reichenbach
E-Mail
Tel.: +49 381 498 7270
Raum: 102
Forschungsgebiete
- Integrierte Systeme
Publikationen
Jianan Wen, Fabian Luis Vargas, Fukun Zhu, Daniel Reiser, Andrea Baroni, Markus Fritscher, Eduardo Perez, Marc Reichenbach, Christian Wenger, Milos Krstic:
RRAMulator: An efficient FPGA-based emulator for RRAM crossbar with device variability and energy consumption evaluation
In Journal Microelectronics Reliability, Vol. 168, Artikel Nr. 15630, pp. 1-10, DOI: 10.1016/j.microrel.2025.115630, ISSN: 0026-2714, Verlag ELSEVIER, Deutschland, Mai 2025
Francesco Ratti, Johannes Knödtel, Marc Reichenbach:
HeterogeneousRTOS: A CPU-FPGA Real-Time OS for Fault Tolerance on COTS at Near-Zero Timing Cost
In Journal ACM Transactions on Embedded Computing Systems, Vol. 24, Issue 2, Article Nr. 31, pp. 1 - 5, DOI: 10.1145/3712062, ISSN:1539-9087, Verlag: Association for Computing Machinery, New York, USA, Februar 2025
Sebastian Jenderny, Daniel Reiser, Karlheinz Ochs, Marc Reichenbach:
Towards a Memristor-Based Circuit Implementation of the Hindmarsh-Rose Model
On TechRxiv-Server, pp. 1-5, DOI: 10.36227/techrxiv.173603074.48447112/v1, Authorea Preprints, Januar 2025
Daniel Reiser, Johannes Knödtel, Liliia Almeeva, Jianan Wen, Andrea Baroni, Miloš Krstić, Marc Reichenbach:
HyRPF: Hybrid RRAM Prototyping on FPGA
In Proceedings of the 24th International Conference SAMOS 2024, Embedded Computer Systems: Architectures, Modeling, and Simulation, Vol. 1, pp. 199-125, DOI: 10.1007/978-3-031-78377-7_14, Samos, Griechenland, Januar 2025
2024
Markus Fritscher, Simranjeet Singh, Tommaso Rizzi, Andrea Baroni, Daniel Reiser, Maen Mallah, David Hartmann, Ankit Bende, Tim Kempen, Max Uhlmann, Gerhard Kahmen, Dietmar Fey, Vikas Rana, Stephan Menzel, Marc Reichenbach, Milos Krstic, Farhad Merchant, Christian Wenger:
A flexible and fast digital twin for RRAM systems applied for training resilient neural networks
In Journal Scientific Reports, Vol. 14, Artikel-Nr. 23695, DOI: 10.1038/s41598-024-73439-z, ISSN: 2045-2322, Nature Publishing Group UK, Oktober 2024
Markus Fritscher, Max Uhlmann, Philip Ostrovskyy, Daniel Reiser, Junchao Chen, Andreas Schubert, Carsten Schulze, Gerhard Kahmen, Dietmar Fey, Marc Reichenbach, Milos Krstic, Christian Wenger:
Area-Efficient Digital Design Using RRAM-CMOS Standard Cells
In Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 81-87, DOI: 10.1109/ISVLSI61997.2024.00026, Knoxville, TN, USA, Juli 2024
Daniel Reiser, Johannes Knödtel, Liliia Almeeva, Jianan Wen, Andrea Baroni, Miloš Krstić, Marc Reichenbach:
HyRPF: Hybrid RRAM Prototyping on FPGA
In Proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), pp. 199-215, DOI: 10.1007/978-3-031-78377-7_14, ISBN: 978-3-031-78376-0, Pythagorion, Insel Samos, Griechenland, Juni 2024
Hector Gerardo Muñoz Hernandez, Veronia Iskandar, Lukas Steiner, Philipp Holzinger, Matthias Jung, Diana Göhringer, Michael Hübner, Norbert Wehn, Marc Reichenbach:
A Novel System Simulation Framework for HBM2 FPGA Platforms
In Proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), pp. 72–84, DOI: 10.1007/978-3-031-78380-7_6, ISBN: 978-3-031-78380-7, Pythagorion, Insel Samos, Griechenland, Juni 2024
Jens Bielefeldt, Kai-Uwe Basener, Roman Krajewski, Hans-Werner Wiesbrock, Marc Reichenbach, Michael Hübner:
DeepTest: Using Machine Learning for Generating new Testsequences
In Proceedings of the 13th Mediterranean Conference on Embedded Computing (MECO), pp. 1-9, DOI: 10.1109/MECO62516.2024.10577951, Budva, Montenegro, Juni 2024
Priscile Suawa, Michael Huebner, Marc Reichenbach:
P9 - Investigating the impact of sensors location on event detection tasks: A case of gaseous chemical detection
In Proceedings of the iCampµs Cottbus Conference (iCCC2024), pp. 145, DOI: 10.5162/iCCC2024/P9, Cottbus, Deutschland, Mai 2024
Alexander Lehnert, Falko Gawantka, Jonas During, Franz Just, Marc Reichenbach:
XplAInable: Explainable AI Smoke Detection at the Edge
In Journal Big Data and Cognitive Computing, Vol. 8, Issue 5, Artikel Nr. 50, pp. 1-22, DOI: 10.3390/bdcc8050050, ISSN: 2504-2289, MDPI-Verlag, Basel, Schweiz, Mai 2024
Max Uhlmann, Gerhard Kahmen, Philip Ostrovskyy, Marc Reichenbach, Markus Fritscher:
RESISTIVE SPEICHERUNTERZELLE, RESISTIVER DIREKTZUGRIFFSSPEICHER FÜR SPEICHERINTERNE BERECHNUNG UND SPEICHERINTERNER PROZESSOR
European Patent Application EP 4 345 823 A1, April 2024
Jianan Wen, Fabian Luis Vargas, Fukun Zhu, Daniel Reiser, Andrea Baroni, Markus Fritscher, Eduardo Perez, Marc Reichenbach, Christian Wenger, Milos Krstic:
Cycle-accurate FPGA emulation of RRAM crossbar array: efficient device and variability modeling with energy consumption assessment
In Proceedings of the 25th Latin American Test Symposium (IEEE-LATS), pp. 1-6, DOI: 10.1109/LATS62223.2024.10534601, Maceio, Brasilien, April 2024
Daniel Reiser, Junchao Chen, Johannes Knödtel, Andrea Baroni, Miloš Krstić, Marc Reichenbach:
Design and analysis of an adaptive radiation resilient RRAM subsystem for processing systems in satellites
In Journal Design Automation for Embedded Systems, Vol. 28, Nr. 2, pp. 111–137, DOI: 10.1007/s10617-024-09285-z, EISBN: 1572-8080, Verlag Springer Nature, April 2024
Rafael Batista, Matthias Nickel, Alexander Lehnert, Sergio Pertuz, Marc Reichenbach, Diana Goehringer, Alisson Brito:
Towards an Embedded System for Failure Diagnosis in Drones Using AI and SAC-DM on FPGA
In Proceedings of Design, Automation and Test in Europe (DATE), pp. 1-2, DOI: 10.23919/DATE58400.2024.10546792, Valencia, Spanien, März 2024
An Braeken, Bruno da Silva, Laurent Segers, Johannes Knödtel, Marc Reichenbach, Cornelia Wulf, Sergio Pertuz, Diana Göhringer, Jo Vliegen, Md Masoom Rabbani, Nele Mentens :
Trusted Computing Architectures for IoT Devices
In Proceedings of the 20th International Symposium on Applied Reconfigurable Computing (ARC 2024), pp. 241–254, DOI: 10.1007/978-3-031-55673-9_17, Aveiro, Portugal, März 2024
Ralf R. Müller, Marc Reichenbach, Hans Rosenberg:
VORRICHTUNG UND VERFAHREN ZUR BERECHNUNG EINES MATRIXVEKTORPRODUKTS EINER BESTIMMTEN MATRIX UND EINES VEKTORS
European Patent Application EP 4 318 276 A1, Februar 2024
Kathrin Rottermann, Ulrike Doll, Simon Pfenning, Marc Reichenbach, Dietmar Fey, Alexander Dobler, Céline Siauw, Fabian Reif, Julia Gnibl, Robert Cesnjevar, Sven Dittrich:
The Congenital Cardiology Cloud–optimizing long-term care by connecting ambulatory and hospital medical attendance via telemedicine
In Journal Klinische Pädiatrie, Vol. 236, Nr. 1, pp. 16-23, DOI: 10.1055/a-2154-6659, Georg Thieme Verlag, Stuttgart, Deutschland, Januar 2024
Ralf R. Müller, Hans Rosenberger, Marc Reichenbach:
Apparatus and method for computing a matrix vector product of a certain matrix and a vector
US Patent Application US20240028665A1, Januar 2024
2023
Rolf Meyer, Mladen Berekovic, Alexander Lehnert, Marc Reichenbach:
TwinSpace Opens up Possibilities for Energy and Resource Efficiency
In Journal HiPEAC info, Vol. 70, p. 7, Gent, Belgien, Oktober 2023
Johannes Knödtel, Hector Gerardo Muñoz Hernandez, Alexander Lehnert, Gia Bao Thieu, Sven Gesper, Guillermo Payá-Vayá, Marc Reichenbach:
TAPRE-HBM: Trace-Based Processor Rapid Emulation Using HBM on FPGAs
In Procceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC 2023), pp. 307-321, DOI: 10.1007/978-3-031-42921-7, Cottbus, Deutschland, September 2023
Alexander Lehnert, Hans Rosenberger, Ralf Müller, Marc Reichenbach:
More Efficient CMMs on FPGAs: Instantiated Ternary Adders for Computation Coding
In Procceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC 2023), pp. 275-289, DOI: 10.1007/978-3-031-42921-7, Cottbus, Deutschland, September 2023
Aktuelle Projekte
Berechnungscodierung (DFG) - Berechnung hochdimensionaler linearer Operationen mittels multiplikativer Matrixzerlegung
medCS.5 (BSI) - Sichere Vernetzung im Krankenhaus
NEUROKIT2E - Verbundprojekt: Open-Source KI-Plattform für Edge-Computing in Europa
Lehrveranstaltungen
- Advanced VLSI Design (Advanced CPU Design), Projekt (LSF-Link)
- Rechnerarchitekturen für Deep Learning Anwendungen, Vorlesung/Übung (LSF-Link)