Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “DeepApprox: Rapid Deep Learning Based Design Space Exploration of Approximate Circuits via Check-Pointing.” In To Apear in IEEE ISVLSI 2024, 2024.
LibreCat: /record/54468

Ahmed, Qazi Arbab, Muhammad Awais, and Marco Platzner. “MAAS: Hiding Trojans in Approximate Circuits.” In The 24th International Symposium on Quality Electronic Design (ISQED’23), San Francisco, Califorina USA, 2023.
LibreCat: /record/44194

Lienen, Christian, Mathis Brede, Daniel Karger, Kevin Koch, Dalisha Logan, Janet Mazur, Alexander Philipp Nowosad, Alexander Schnelle, Mohness Waizy, and Marco Platzner. “AutonomROS: A ReconROS-Based Autonomous Driving Unit.”https://doi.org/10.1109/irc59093.2023.00056__In 2023 Seventh IEEE International Conference on Robotic Computing (IRC). IEEE, 2023.https://doi.org/10.1109/irc59093.2023.00056 .
LibreCat: /record/53794
DOI: 10.1109/irc59093.2023.00056

Clausing, Lennart, Zakarya Guetattfi, Paul Kaufmann, Christian Lienen, and Marco Platzner. “On Guaranteeing Schedulability of Periodic Real-Time Hardware Tasks under ReconO.”https://doi.org/10.1007/978-3-031-42921-7_17__In Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC), 2023.https://doi.org/10.1007/978-3-031-42921-7_17 .
LibreCat: /record/45913
DOI: https://doi.org/10.1007/978-3-031-42921-7_17

Lienen, Christian, Alexander Philipp Nowosad, and Marco Platzner. “Mapping and Optimizing Communication in ROS 2-Based Applications on Configurable System-on-Chip Platforms.”https://doi.org/10.1145/3637843.3637846__In Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence (ICRAI), n.d.https://doi.org/10.1145/3637843.3637846 .
LibreCat: /record/46229
DOI: https://doi.org/10.1145/3637843.3637846

Lienen, Christian, Sorel Horst Middeke, and Marco Platzner. “FpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications.”https://doi.org/10.1109/IROS55552.2023.10341921__In https://doi.org/10.1109/IROS55552.2023.10341921__Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.https://doi.org/10.1109/IROS55552.2023.10341921 .
LibreCat: /record/43048
DOI: 10.1109/IROS55552.2023.10341921

Jentzsch, Felix. “Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML.”https://doi.org/10.1109/fpl60245.2023.00066__In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 2023.https://doi.org/10.1109/fpl60245.2023.00066 .
LibreCat: /record/53435
DOI: 10.1109/fpl60245.2023.00066

Witschen, Linus Matthias, Tobias Wiersema, Lucas David Reuter, and Marco Platzner. “Search Space Characterization for Approximate Logic Synthesis .” In 2022 59th ACM/IEEE Design Automation Conference (DAC), n.d.
LibreCat: /record/29945

Witschen, Linus Matthias, Tobias Wiersema, Matthias Artmann, and Marco Platzner. “MUSCAT: MUS-Based Circuit Approximation Technique.” In Design, Automation and Test in Europe (DATE), n.d.
LibreCat: /record/29865

Hansmeier, Tim, and Marco Platzner. “Integrating Safety Guarantees into the Learning Classifier System XCS.”https://doi.org/10.1007/978-3-031-02462-7_25__In Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, 13224:386–401. Lecture Notes in Computer Science. Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-02462-7_25 .
LibreCat: /record/30971
DOI: 10.1007/978-3-031-02462-7_25

Clausing, Lennart, and Marco Platzner. “ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support.”https://doi.org/10.1109/ipdpsw55747.2022.00029__In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 120–27. IEEE, 2022.https://doi.org/10.1109/ipdpsw55747.2022.00029 .
LibreCat: /record/32855
DOI: 10.1109/ipdpsw55747.2022.00029

Hansmeier, Tim, Mathis Brede, and Marco Platzner. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.”https://doi.org/10.1145/3520304.3533977__In GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2071–79. New York, NY, United States: Association for Computing Machinery (ACM), 2022.https://doi.org/10.1145/3520304.3533977 .
LibreCat: /record/33253
DOI: 10.1145/3520304.3533977

Lienen, Christian, and Marco Platzner. “ReconROS Executor: Event-Driven Programming of FPGA-Accelerated ROS 2 Applications,” 2022.
LibreCat: /record/29541

Lienen, Christian, and Marco Platzner. “Task Mapping for Hardware-Accelerated Robotics Applications Using ReconROS,” n.d.
LibreCat: /record/34007

Lienen, Christian, and Marco Platzner. “Event-Driven Programming of FPGA-Accelerated ROS 2 Robotics Applications.”https://doi.org/10.1109/DSD57027.2022.00088__In 2022 25th Euromicro Conference on Digital System Design (DSD), n.d.https://doi.org/10.1109/DSD57027.2022.00088 .
LibreCat: /record/34005
DOI: 10.1109/DSD57027.2022.00088

Ahmed, Qazi Arbab, and Marco Platzner. “On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs.” Pafos, Cyprus: IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), 2022.
LibreCat: /record/32342

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.”https://doi.org/10.1145/3453688.3461506__In Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, 27–32. ACM, 2021.https://doi.org/10.1145/3453688.3461506 .
LibreCat: /record/21610
DOI: https://doi.org/10.1145/3453688.3461506

Awais, Muhammad, and Marco Platzner. “MCTS-Based Synthesis Towards Efficient Approximate Accelerators.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI, 384–89. IEEE, 2021.
LibreCat: /record/22309

Witschen, Linus Matthias, Tobias Wiersema, Masood Raeisi Nafchi, Arne Bockhorn, and Marco Platzner. “Timing Optimization for Virtual FPGA Configurations.”https://doi.org/10.1007/978-3-030-79025-7_4__In Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig, Steven Derrien, Pedro Diniz, and Daniel Chillet. Reconfigurable Computing: Architectures, Tools, and Applications. Springer Lecture Notes in Computer Science, n.d.https://doi.org/10.1007/978-3-030-79025-7_4 .
LibreCat: /record/21953
DOI: 10.1007/978-3-030-79025-7_4

Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.”https://doi.org/10.1145/3468044.3468055__In HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York, NY, United States: Association for Computing Machinery (ACM), 2021.https://doi.org/10.1145/3468044.3468055 .
LibreCat: /record/29137
DOI: 10.1145/3468044.3468055