Klassen, Alexander. Fast Partial Reconfiguration for ReconO on Xilinx MPSoC Devices, 2023.

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 .

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.

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.

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 .

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 .

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 .

Ahmed, Qazi Arbab. Hardware Trojans in Reconfigurable Computing. Paderborn:https://doi.org/10.17619/UNIPB/1-1271__Paderborn University, Paderborn, Germany, 2022.https://doi.org/10.17619/UNIPB/1-1271 .

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

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

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 .

Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis, 2022.https://doi.org/10.17619/UNIPB/1-1649 .

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.

Mehlich, Florian. An Evaluation of XCS on the OpenAI Gym. Paderborn: Paderborn University, 2022.

Jentzsch, Felix, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, and Marco Platzner. “RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures.”https://doi.org/10.1109/MM.2022.3202091__IEEE Micro 42, no. 6 (2022): 125–33.https://doi.org/10.1109/MM.2022.3202091 .

Tcheussi Ngayap, Vanessa Ingrid. FreeRTOS on a MicroBlaze Soft-Core Processor with Hardware Accelerators, 2022.

Manjunatha, Suraj. Dealing With Pre-Processing And Feature Extraction Of Time-Series Data In  Predictive Maintenance. Paderborn University , 2022.

Kaur , Parvinder. Analysis of Time-Series Classification in Conditional Monitoring Systems. Paderborn University , 2022.

Wiersema, Tobias. Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware. Paderborn: Paderborn University, 2021.

Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.”https://doi.org/10.1145/3494571__ACM Transactions on Reconfigurable Technology and Systems, 2021, 1–20.https://doi.org/10.1145/3494571 .

Kashikar, Chinmay. A Comparison of Machine Learning Techniques for the On-Line Characterization of Tasks Executed on Heterogeneous Compute Nodes. Paderborn: Paderborn University, 2021.

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 .

Rehnen, Jakob Werner. Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib, 2021.

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.

Brede, Mathis. Implementation and Profiling of XCS in the Context of Embedded Systems. Paderborn: Paderborn University, 2021.

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 .

Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.”https://doi.org/10.1186/s12984-021-00822-6__Journal of NeuroEngineering and Rehabilitation 18, no. 1 (2021).https://doi.org/10.1186/s12984-021-00822-6 .

Rodriguez, Alfonso, Andres Otero, Marco Platzner, and Eduardo De la Torre. “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs.”https://doi.org/10.1109/tc.2021.3107196__IEEE Transactions on Computers, 2021, 1–1.https://doi.org/10.1109/tc.2021.3107196 .

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 .

Sheikh, Muhammad Aamir. Design and Implementation of a ReconROS-Based Obstacle Avoidance System. Paderborn University, 2021.

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

Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.”https://doi.org/10.1145/3449726.3463159__In GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1639–1647. New York, NY, United States: Association for Computing Machinery (ACM), 2021.https://doi.org/10.1145/3449726.3463159 .

Jakobs, Marie-Christine, Felix Pauck, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Software/Hardware Co-Verification for Custom Instruction Set Processors.”https://doi.org/10.1109/ACCESS.2021.3131213__IEEE Access, 2021.https://doi.org/10.1109/ACCESS.2021.3131213 .

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

Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.”https://doi.org/10.23919/DATE51398.2021.9474026__In 2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). Alpexpo | Grenoble, France: 2021 Design, Automation and Test in Europe Conference (DATE), 2021.https://doi.org/10.23919/DATE51398.2021.9474026 .

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

Ghasemzadeh Mohammadi, Hassan, Felix Jentzsch, Maurice Kuschel, Rahilhttps://doi.org/10.1007/978-3-030-93736-2_27__Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, and Dirkhttps://doi.org/10.1007/978-3-030-93736-2_27__Schollbach. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.”https://doi.org/10.1007/978-3-030-93736-2_27__In https://doi.org/10.1007/978-3-030-93736-2_27__Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, 2021.https://doi.org/10.1007/978-3-030-93736-2_27 .

Guetttatfi, Zakarya, Paul Kaufmann, and Marco Platzner. “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices.” In Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020.

Chandrakar, Khushboo. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis, 2020.

Henke, Luca-Sebastian. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application, 2020.

Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.”https://doi.org/10.1007/978-3-662-59084-3_9__In Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg, 2020.https://doi.org/10.1007/978-3-662-59084-3_9 .

Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Approximate Circuits.”https://doi.org/10.1109/TVLSI.2020.3008061__IEEE Transactions On Very Large Scale Integration Systems 28, no. 9 (2020): 2084–88.https://doi.org/10.1109/TVLSI.2020.3008061 .

Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolution of Application-Specific Cache Mappings.” International Journal of Hybrid Intelligent Systems, 2020.

Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020), n.d.

Lienen, Christian, Marco Platzner, and Bernhard Rinner. “ReconROS: Flexible Hardware Acceleration for RO Applications.” In Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.

Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.

Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.

Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “An Adaption Mechanism for the Error Threshold of XCSF.”https://doi.org/10.1145/3377929.3398106__In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1756–64. New York, NY, United States: Association for Computing Machinery (ACM), 2020.https://doi.org/10.1145/3377929.3398106 .

Anwer, Jahanzeb, Sebastian Meisner, and Marco Platzner. “Dynamic Reliability Management for FPGA-Based Systems.”https://doi.org/10.1155/2020/2808710__International Journal of Reconfigurable Computing, 2020, 1–19.https://doi.org/10.1155/2020/2808710 .

Bellman, K., N. Dutt, L. Esterle, A. Herkersdorf, A. Jantsch, C. Landauer, P. R. Lewis, Marco Platzner, N. TaheriNejad, and K. Tammemäe. “Self-Aware Cyber-Physical Systems.” ACM Transactions on Cyber-Physical Systems Accepted for Publication (2020): 1–24.

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.”https://doi.org/10.1145/3386263.3406952__In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020.https://doi.org/10.1145/3386263.3406952 .

Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.”https://doi.org/10.1145/3377929.3389968__In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 125–26. New York, NY, United States: Association for Computing Machinery (ACM), 2020.https://doi.org/10.1145/3377929.3389968 .

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

Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture, 2020.

Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.”https://doi.org/10.1016/j.microrel.2019.04.003__Microelectronics Reliability 99 (2019): 277–90.https://doi.org/10.1016/j.microrel.2019.04.003 .

Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Fourth Workshop on Approximate Computing (AxC 2019), n.d.

Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.”https://doi.org/10.1145/3299874.3317998__In Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19. New York, NY, USA: ACM, 2019.https://doi.org/10.1145/3299874.3317998 .

Boschmann, Alexander, Andreas Agne, Georg Thombansen, Linus Matthias Witschen, Florian Kraus, and Marco Platzner. “Zynq-Based Acceleration of Robust High Density Myoelectric Signal Processing.”https://doi.org/10.1016/j.jpdc.2018.07.004__Journal of Parallel and Distributed Computing 123 (2019): 77–89.https://doi.org/10.1016/j.jpdc.2018.07.004 .

Hansmeier, Tim, Marco Platzner, Md Jubaer Hossain Pantho, and David Andrews. “An Accelerator for Resolution Proof Checking Based on FPGA and Hybrid Memory Cube Technology.”https://doi.org/10.1007/s11265-018-1435-y__Journal of Signal Processing Systems 91, no. 11 (2019): 1259–72.https://doi.org/10.1007/s11265-018-1435-y .

Ho, Nam, Paul Kaufmann, and Marco Platzner. “Optimization of Application-Specific L1 Cache Translation Functions of the LEON3 Processor.” In World Congress on Nature and Biologically Inspired Computing (NaBIC). Advances in Nature and Biologically Inspired Computing. Springer, 2019.

Kumar Jeyakumar, Shankar. Incremental Learning with Support Vector Machine on Embedded Platforms, 2019.

Keerthipati, Monica. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn, 2019.

Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.

Mehta, Jinay. Multithreaded Software/Hardware Programming with ReconOS/FreeRTOS on a Reconfc03gurable System-on-Chip, 2019.

Hansmeier, Tim. Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers. Universität Paderborn, 2019.

Guettatfi, Zakarya, Marco Platzner, Omar Kermia, and Abdelhakim Khouas. “An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware.”https://doi.org/10.1109/ipdpsw.2019.00027__In 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2019.https://doi.org/10.1109/ipdpsw.2019.00027 .

Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan.”https://doi.org/10.1007/978-3-030-17227-5_10__In Applied Reconfigurable Computing, edited by Christian Hochberger, Brent Nelson, Andreas Koch, Roger Woods, and Pedro Diniz, 11444:127–36. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019.https://doi.org/10.1007/978-3-030-17227-5_10 .

Lienen, Christian. Implementing a Real-Time System on a Platform FPGA Operated with ReconOS. Universität Paderborn, n.d.

Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.”https://doi.org/10.1007/s00287-019-01187-w__Informatik Spektrum, 2019.https://doi.org/10.1007/s00287-019-01187-w .

Mehta, Jinay D. Multithreaded Software/Hardware Programming with ReconOS/FreeRTOS on a Reconfigurable System-on-Chip, 2019.

Lösch, Achim, Alex Wiens, and Marco Platzner. “Ampehre: An Open Source Measurement Framework for Heterogeneous Compute Nodes.”https://doi.org/10.1007/978-3-319-77610-1_6__In Proceedings of the International Conference on Architecture of Computing Systems (ARCS), 10793:73–84. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018.https://doi.org/10.1007/978-3-319-77610-1_6 .

Schnuer, Jan-Philip. Static Scheduling Algorithms for Heterogeneous Compute Nodes. Universität Paderborn, 2018.

Croce, Marcel. Evaluation of OpenCL-Based Compilation for FPGAs. Universität Paderborn, 2018.

Hansmeier, Tim, Marco Platzner, and David Andrews. “An FPGA/HMC-Based Accelerator for Resolution Proof Checking.”https://doi.org/10.1007/978-3-319-78890-6_13__In ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications, 10824:153–65. Lecture Notes in Computer Science. Springer International Publishing, 2018.https://doi.org/10.1007/978-3-319-78890-6_13 .

Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018), n.d.

Ho, Nam. FPGA-Based Reconfigurable Cache Mapping Schemes: Design and Optimization. Universität Paderborn, 2018.https://doi.org/10.17619/UNIPB/1-376 .

Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Making the Case for Proof-Carrying Approximate Circuits.” 4th Workshop On Approximate Computing (WAPCO 2018), 2018.

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

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “An MCTS-Based Framework for Synthesis of Approximate Circuits.”https://doi.org/10.1109/VLSI-SoC.2018.8645026__In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 219–24, 2018.https://doi.org/10.1109/VLSI-SoC.2018.8645026 .

Clausing, Lennart. Development of a Hardware / Software Codesign for Sonification of LIDAR-Based Sensor Data. Ruhr-University Bochum, 2018.

Jentzsch, Felix Paul. Enforcing IP Core Connection Properties with Verifiable Security Monitors. Universität Paderborn, 2018.

Ghribi, Ines, Riadh Ben Abdallah, Mohamed Khalgui, Zhiwu Li, Khalid Alnowibet, and Marco Platzner. “R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints.”https://doi.org/10.1109/access.2018.2799852__IEEE Access, 2018, 14078–92.https://doi.org/10.1109/access.2018.2799852 .

Hansmeier, Tim. An FPGA Accelerator for Checking Resolution Proofs. Universität Paderborn, 2017.

Witschen, Linus Matthias. A Framework for the Synthesis of Approximate Circuits. Universität Paderborn, 2017.

Knorr, Christoph. OpenCL-basierte Videoverarbeitung auf heterogenen Rechenknoten. Universität Paderborn, 2017.

Shen, Cong, Paul Kaufmann, and Martin Braun. “Three-Stage Power System Restoration Methodology Considering Renewable Energies.”https://doi.org/10.1016/j.ijepes.2017.07.007__Elsevier International Journal of Electrical Power and Energy Systems (IJEPES) 94 (2017): 287–99.https://doi.org/10.1016/j.ijepes.2017.07.007 .

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

Isenberg, Tobias, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Proof-Carrying Hardware via Inductive Invariants.”https://doi.org/10.1145/3054743__ACM Transactions on Design Automation of Electronic Systems, no. 4 (2017): 61:1--61:23.https://doi.org/10.1145/3054743 .

H.W. Leong, Philip, Hideharu Amano, Jason Anderson, Koen Bertels, Jo\'7eao M.P. Cardoso, Oliver Diessel, Guy Gogniat, et al. “The First 25 Years of the FPL Conference – Significant Papers.”https://doi.org/10.1145/2996468__ACM Transactions on Reconfigurable Technology and Systems, 2017.https://doi.org/10.1145/2996468 .

F. DeMara, Ronald, Marco Platzner, and Marco Ottavi. “Innovation in Reconfigurable Computing Fabrics: From Devices to Architectures (Guest Editorial).”https://doi.org/10.1109/TETC.2016.2641599__IEEE Transactions on Computers and IEEE Transactions on Emerging Topics in Computing, 2017.https://doi.org/10.1109/TETC.2016.2641599 .

Anwer, Jahanzeb, and Marco Platzner. “Evaluating Fault-Tolerance of Redundant FPGA Structures Using Boolean Difference Calculus.”https://doi.org/10.1016/j.micpro.2017.06.002__Microprocessors and Microsystems, 2017, 160–72.https://doi.org/10.1016/j.micpro.2017.06.002 .

Kaltschmidt, Christian. An AR-Based Training and Assessment System for Myoelectrical Prosthetic Control. Paderborn University, 2017.

Boschmann, Alexander, Georg Thombansen, Linus Matthias Witschen, Alex Wiens, and Marco Platzner. “A Zynq-Based Dynamically Reconfigurable High Density Myoelectric Prosthesis Controller.”https://doi.org/10.23919/DATE.2017.7927137__In Design, Automation and Test in Europe (DATE), 2017.https://doi.org/10.23919/DATE.2017.7927137 .

Riaz, Umair. Acceleration of Industrial Analytics Functions on a Platform FPGA. Paderborn University, 2017.

Ho, Nam, Ishraq Ibne Ashraf, Paul Kaufmann, and Marco Platzner. “Accurate Private/Shared Classification of Memory Accesses: A Run-Time Analysis System for the LEON3 Multi-Core Processor.”https://doi.org/10.23919/DATE.2017.7927096__In Proc. Design, Automation and Test in Europe Conf. (DATE), 2017.https://doi.org/10.23919/DATE.2017.7927096 .

Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolvable Caches: Optimization of Reconfigurable Cache Mappings for a LEON3/Linux-Based Multi-Core Processor.”https://doi.org/10.1109/FPT.2017.8280144__In 2017 International Conference on Field Programmable Technology (ICFPT), 215–18, 2017.https://doi.org/10.1109/FPT.2017.8280144 .

Shen, Cong, Paul Kaufmann, and Martin Braun. “Three-Stage Power System Restoration Methodology Considering Renewable Energies.” Elsevier International Journal of Electrical Power and Energy Systems (IJEPES), 2017.

Dietrich, Andreas. Reconfigurable Cryptographic Services. Paderborn University, 2017.

Shen, Cong, Paul Kaufmann, and Martin Braun. “Fast Network Restoration by Partitioning of Parallel Black Start Zones.”https://doi.org/10.1049/joe.2017.0032__The Journal of Engineering, 2017, 19pp.https://doi.org/10.1049/joe.2017.0032 .

Squillero, Giovanni, Paolo Burelli, Antonio M. Mora, Alexandros Agapitos, William S. Bush, Stefano Cagnoni, Carlos Cotta, et al. Applications of Evolutionary Computation - 20th European Conference, EvoApplications. Lecture Notes in Computer Science. Springer, 2017.