Lienen, Christian, et al. “AutonomROS: A ReconROS-Based Autonomous Driving Unit.”10.1109/irc59093.2023.00056__2023 Seventh IEEE International Conference on Robotic Computing (IRC), IEEE, 2023, doi:10.1109/irc59093.2023.00056.
LibreCat: /record/53794
DOI: 10.1109/irc59093.2023.00056

Lienen, Christian, et al. “Mapping and Optimizing Communication in ROS 2-Based Applications on Configurable System-on-Chip Platforms.”https://doi.org/10.1145/3637843.3637846__Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence (ICRAI), doi:https://doi.org/10.1145/3637843.3637846.
LibreCat: /record/46229
DOI: https://doi.org/10.1145/3637843.3637846

Lienen, Christian, et al. “FpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications.”10.1109/IROS55552.2023.10341921__10.1109/IROS55552.2023.10341921__Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, doi:10.1109/IROS55552.2023.10341921.
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DOI: 10.1109/IROS55552.2023.10341921

Clausing, Lennart, et al. “On Guaranteeing Schedulability of Periodic Real-Time Hardware Tasks under ReconO.”https://doi.org/10.1007/978-3-031-42921-7_17__Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC), 2023, doi:https://doi.org/10.1007/978-3-031-42921-7_17.
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DOI: https://doi.org/10.1007/978-3-031-42921-7_17

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

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

Lienen, Christian, and Marco Platzner. “Event-Driven Programming of FPGA-Accelerated ROS 2 Robotics Applications.”10.1109/DSD57027.2022.00088__2022 25th Euromicro Conference on Digital System Design (DSD), doi:10.1109/DSD57027.2022.00088.
LibreCat: /record/34005
DOI: 10.1109/DSD57027.2022.00088

Hansmeier, Tim, et al. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.”10.1145/3520304.3533977__GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2022, pp. 2071–79, doi:10.1145/3520304.3533977.
LibreCat: /record/33253
DOI: 10.1145/3520304.3533977

Clausing, Lennart, and Marco Platzner. “ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support.”10.1109/ipdpsw55747.2022.00029__2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–27, doi:10.1109/ipdpsw55747.2022.00029.
LibreCat: /record/32855
DOI: 10.1109/ipdpsw55747.2022.00029

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

Hansmeier, Tim, and Marco Platzner. “Integrating Safety Guarantees into the Learning Classifier System XCS.”10.1007/978-3-031-02462-7_25__Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, vol. 13224, Springer International Publishing, 2022, pp. 386–401, doi:10.1007/978-3-031-02462-7_25.
LibreCat: /record/30971
DOI: 10.1007/978-3-031-02462-7_25

Witschen, Linus Matthias, et al. “MUSCAT: MUS-Based Circuit Approximation Technique.” Design, Automation and Test in Europe (DATE).
LibreCat: /record/29865

Witschen, Linus Matthias, et al. “Search Space Characterization for Approximate Logic Synthesis .” 2022 59th ACM/IEEE Design Automation Conference (DAC).
LibreCat: /record/29945

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

Ghasemzadeh Mohammadi, Hassan, et al. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.”https://doi.org/10.1007/978-3-030-93736-2_27__https://doi.org/10.1007/978-3-030-93736-2_27__Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021, doi:https://doi.org/10.1007/978-3-030-93736-2_27.
LibreCat: /record/30908
DOI: https://doi.org/10.1007/978-3-030-93736-2_27

Clausing, Lennart. “ReconO: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.”10.1145/3468044.3468056__Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021, doi:10.1145/3468044.3468056.
LibreCat: /record/30909
DOI: 10.1145/3468044.3468056

Ahmed, Qazi Arbab, et al. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.”10.23919/DATE51398.2021.9474026__2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), 2021, doi:10.23919/DATE51398.2021.9474026.
LibreCat: /record/20681
DOI: 10.23919/DATE51398.2021.9474026

Ahmed, Qazi Arbab. “Hardware Trojans in Reconfigurable Computing.”10.1109/vlsi-soc53125.2021.9606974__2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021, doi:10.1109/vlsi-soc53125.2021.9606974.
LibreCat: /record/29138
DOI: 10.1109/vlsi-soc53125.2021.9606974

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

Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.”10.1145/3449726.3463159__GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2021, pp. 1639–1647, doi:10.1145/3449726.3463159.
LibreCat: /record/21813
DOI: 10.1145/3449726.3463159

Witschen, Linus Matthias, et al. “Timing Optimization for Virtual FPGA Configurations.”10.1007/978-3-030-79025-7_4__Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig et al., Springer Lecture Notes in Computer Science, doi:10.1007/978-3-030-79025-7_4.
LibreCat: /record/21953
DOI: 10.1007/978-3-030-79025-7_4

Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.” ArXiv:2107.07208, 2021.
LibreCat: /record/22764

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

Awais, Muhammad, et al. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.”https://doi.org/10.1145/3453688.3461506__Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32, doi:https://doi.org/10.1145/3453688.3461506.
LibreCat: /record/21610
DOI: https://doi.org/10.1145/3453688.3461506

Lösch, Achim, and Marco Platzner. “MigHEFT: DAG-Based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes.”10.1109/IPDPSW50202.2020.00012__2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, pp. 6–16, doi:10.1109/IPDPSW50202.2020.00012.
LibreCat: /record/35152
DOI: 10.1109/IPDPSW50202.2020.00012

Lösch, Achim, and Marco Platzner. “MigHEFT: DAG-Based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes.”10.1109/ipdpsw50202.2020.00012__2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, doi:10.1109/ipdpsw50202.2020.00012.
LibreCat: /record/20838
DOI: 10.1109/ipdpsw50202.2020.00012

Guetttatfi, Zakarya, et al. “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices.” Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020.
LibreCat: /record/3583

Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.”10.1007/978-3-662-59084-3_9__Machine Learning for Cyber Physical Systems (ML4CPS 2017), 2020, doi:10.1007/978-3-662-59084-3_9.
LibreCat: /record/21584
DOI: 10.1007/978-3-662-59084-3_9

Witschen, Linus Matthias, et al. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020).
LibreCat: /record/20748

Lienen, Christian, et al. “ReconROS: Flexible Hardware Acceleration for RO Applications.” Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.
LibreCat: /record/20750

Hansmeier, Tim, et al. “An Adaption Mechanism for the Error Threshold of XCSF.”10.1145/3377929.3398106__GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2020, pp. 1756–64, doi:10.1145/3377929.3398106.
LibreCat: /record/17063
DOI: 10.1145/3377929.3398106

Hansmeier, Tim, et al. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.”10.1145/3377929.3389968__GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2020, pp. 125–26, doi:10.1145/3377929.3389968.
LibreCat: /record/16363
DOI: 10.1145/3377929.3389968

Awais, Muhammad, et al. “A Hybrid Synthesis Methodology for Approximate Circuits.”10.1145/3386263.3406952__Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–26, doi:10.1145/3386263.3406952.
LibreCat: /record/16213
DOI: 10.1145/3386263.3406952

Ahmed, Qazi Arbab, et al. “Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan.”10.1007/978-3-030-17227-5_10__Applied Reconfigurable Computing, edited by Christian Hochberger et al., vol. 11444, Springer International Publishing, 2019, pp. 127–36, doi:10.1007/978-3-030-17227-5_10.
LibreCat: /record/9913
DOI: 10.1007/978-3-030-17227-5_10

Guettatfi, Zakarya, et al. “An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware.”10.1109/ipdpsw.2019.00027__2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2019, doi:10.1109/ipdpsw.2019.00027.
LibreCat: /record/31067
DOI: 10.1109/ipdpsw.2019.00027

Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Fourth Workshop on Approximate Computing (AxC 2019).
LibreCat: /record/16853

Ho, Nam, et al. “Optimization of Application-Specific L1 Cache Translation Functions of the LEON3 Processor.” World Congress on Nature and Biologically Inspired Computing (NaBIC), Springer, 2019.
LibreCat: /record/15422

Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.”10.1145/3299874.3317998__Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19, ACM, 2019, doi:10.1145/3299874.3317998.
LibreCat: /record/10577
DOI: 10.1145/3299874.3317998

Lösch, Achim, and Marco Platzner. “A Highly Accurate Energy Model for Task Execution on Heterogeneous Compute Nodes.”10.1109/asap.2018.8445098__2018 IEEE 29th International Conference on Application-Specific Systems, Architectures and Processors (ASAP), IEEE, 2018, doi:10.1109/asap.2018.8445098.
LibreCat: /record/5547
DOI: 10.1109/asap.2018.8445098

Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018).
LibreCat: /record/3586

Lösch, Achim, et al. “Ampehre: An Open Source Measurement Framework for Heterogeneous Compute Nodes.”10.1007/978-3-319-77610-1_6__Proceedings of the International Conference on Architecture of Computing Systems (ARCS), vol. 10793, Springer International Publishing, 2018, pp. 73–84, doi:10.1007/978-3-319-77610-1_6.
LibreCat: /record/3362
DOI: 10.1007/978-3-319-77610-1_6

Hansmeier, Tim, et al. “An FPGA/HMC-Based Accelerator for Resolution Proof Checking.”10.1007/978-3-319-78890-6_13__ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications, vol. 10824, Springer International Publishing, 2018, pp. 153–65, doi:10.1007/978-3-319-78890-6_13.
LibreCat: /record/3373
DOI: 10.1007/978-3-319-78890-6_13

Witschen, Linus Matthias, et al. “Making the Case for Proof-Carrying Approximate Circuits.” 4th Workshop On Approximate Computing (WAPCO 2018), 2018.
LibreCat: /record/1165

Awais, Muhammad, et al. “An MCTS-Based Framework for Synthesis of Approximate Circuits.”10.1109/VLSI-SoC.2018.8645026__26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2018, pp. 219–24, doi:10.1109/VLSI-SoC.2018.8645026.
LibreCat: /record/10598
DOI: 10.1109/VLSI-SoC.2018.8645026

Lösch, Achim, and Marco Platzner. “ReMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements.”10.1109/ASAP.2017.7995272__Proceedings of the 28th Annual IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP), 2017, doi:10.1109/ASAP.2017.7995272.
LibreCat: /record/65
DOI: 10.1109/ASAP.2017.7995272

Ghribi, Ines, et al. “I-Codesign: A Codesign Methodology for Reconfigurable Embedded Systems.”10.1007/978-3-319-62569-0_8__Communications in Computer and Information Science, Springer , 2017, doi:10.1007/978-3-319-62569-0_8.
LibreCat: /record/14893
DOI: 10.1007/978-3-319-62569-0_8

Kaufmann, Paul, and Roman Kalkreuth. “Parametrizing Cartesian Genetic Programming: An Empirical Study.”10.1007/978-3-319-67190-1_26__KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Springer International Publishing, 2017, doi:10.1007/978-3-319-67190-1_26.
LibreCat: /record/10760
DOI: 10.1007/978-3-319-67190-1_26

Kaufmann, Paul, et al. “Evaluation Methodology for Complex Non-Deterministic Functions: A Case Study in Metaheuristic Optimization of Caches.”10.1109/AHS.2017.8046380__Adaptive Hardware and Systems (AHS), IEEE, 2017, doi:10.1109/AHS.2017.8046380.
LibreCat: /record/10761
DOI: 10.1109/AHS.2017.8046380

Kaufmann, Paul, and Roman Kalkreuth. “An Empirical Study on the Parametrization of Cartesian Genetic Programming.”10.1145/3067695.3075980__Genetic and Evolutionary Computation (GECCO), Compendium, ACM, 2017, doi:10.1145/3067695.3075980.
LibreCat: /record/10762
DOI: 10.1145/3067695.3075980

Guettatfi, Zakarya, et al. “Computational Self-Awareness as Design Approach for Visual Sensor Nodes.”10.1109/ReCoSoC.2017.8016147__12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8, doi:10.1109/ReCoSoC.2017.8016147.
LibreCat: /record/10780
DOI: 10.1109/ReCoSoC.2017.8016147