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450 Publications
2021 | Conference Paper | LibreCat-ID: 29137
Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” 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.
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| DOI
2021 | Mastersthesis | LibreCat-ID: 29540
Sheikh, Muhammad Aamir. Design and Implementation of a ReconROS-Based Obstacle Avoidance System. Paderborn University, 2021.
LibreCat
2021 | Preprint | LibreCat-ID: 22764 | 
Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.” ArXiv:2107.07208, 2021.
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2021 | Conference Paper | LibreCat-ID: 21813
Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” 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.
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2021 | Journal Article | LibreCat-ID: 27841
Jakobs, Marie-Christine, Felix Pauck, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Software/Hardware Co-Verification for Custom Instruction Set Processors.” IEEE Access, 2021. https://doi.org/10.1109/ACCESS.2021.3131213.
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2021 | Conference Paper | LibreCat-ID: 29138
Ahmed, Qazi Arbab. “Hardware Trojans in Reconfigurable Computing.” In 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021. https://doi.org/10.1109/vlsi-soc53125.2021.9606974.
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2021 | Conference Paper | LibreCat-ID: 20681 |
Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.” 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.
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2021 | Conference Paper | LibreCat-ID: 30909
Clausing, Lennart. “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.” In Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM, 2021. https://doi.org/10.1145/3468044.3468056.
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2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, Hassan, Felix Jentzsch, Maurice Kuschel, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, and Dirk Schollbach. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” In Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, 2021. https://doi.org/10.1007/978-3-030-93736-2_27.
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2020 | Conference Paper | LibreCat-ID: 3583
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.
LibreCat
2020 | Mastersthesis | LibreCat-ID: 21324
Chandrakar, Khushboo. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis, 2020.
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2020 | Bachelorsthesis | LibreCat-ID: 21432
Henke, Luca-Sebastian. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application, 2020.
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2020 | Conference Paper | LibreCat-ID: 21584
Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.” In Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg, 2020. https://doi.org/10.1007/978-3-662-59084-3_9.
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2020 | Journal Article | LibreCat-ID: 17358
Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Approximate Circuits.” IEEE Transactions On Very Large Scale Integration Systems 28, no. 9 (2020): 2084–88. https://doi.org/10.1109/TVLSI.2020.3008061.
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2020 | Journal Article | LibreCat-ID: 17369
Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolution of Application-Specific Cache Mappings.” International Journal of Hybrid Intelligent Systems, 2020.
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2020 | Preprint | LibreCat-ID: 20748
Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020), n.d.
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2020 | Conference Paper | LibreCat-ID: 20750
Lienen, Christian, Marco Platzner, and Bernhard Rinner. “ReconROS: Flexible Hardware Acceleration for ROS2 Applications.” In Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.
LibreCat
2020 | Bachelorsthesis | LibreCat-ID: 20820
Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.
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2020 | Mastersthesis | LibreCat-ID: 20821
Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17063
Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “An Adaption Mechanism for the Error Threshold of XCSF.” 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.
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