• Integrierte Systeme

Liliia Almeeva, Alexander Lehnert, Ralf Müller, Marc Reichenbach:
High-Performance, Area-Efficient and Predictable Matrix Multiplication for ASIC
In Proceedings of the 36th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 182-183, DOI: 10.1109/ASAP65064.2025.00042, EISBN: 979-8-3315-9552-4, Verlag IEEE, Vancouver, BC, Kanada, Juli 2025

Florian Rokohl, Alexander Lehnert, Marc Reichenbach:
Evaluation Pipeline for systematically searching for Anomaly Detection Systems
In arXiv:2506, Artikel-Nr. 15388, DOI: 10.48550/arXiv.2506.15388, New York, USA, June 2025

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

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

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

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

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, Philipp Holzinger, Simon Pfenning, Ralf Müller, Marc Reichenbach:
Most Resource Efficient Matrix Vector Multiplication on FPGAs
In Journal IEEE Access, Vol.11, pp. 3881--3898, DOI: 10.1109/ACCESS.2023.3234622, Januar 2023

• ResearchGate