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403 Publications


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, n.d. https://doi.org/10.1109/ACCESS.2021.3131213.
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2021 | Conference Paper | LibreCat-ID: 21610
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” In Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, 27–32. ACM, 2021. https://doi.org/10.1145/3453688.3461506.
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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 | Bachelorsthesis | LibreCat-ID: 22216
Rehnen, Jakob Werner. Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib, 2021.
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2021 | Conference Paper | LibreCat-ID: 22309
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.
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2021 | Bachelorsthesis | LibreCat-ID: 22483
Brede, Mathis. Implementation and Profiling of XCS in the Context of Embedded Systems. Paderborn: Paderborn University, 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. New York, NY, United States: Association for Computing Machinery (ACM), n.d.
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2021 | Mastersthesis | LibreCat-ID: 29540
Sheikh, Muhammad Aamir. Design and Implementation of a ReconROS-Based Obstacle Avoidance System. Paderborn University, 2021.
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2021 | Preprint | LibreCat-ID: 22764 | OA
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: 21953
Witschen, Linus Matthias, Tobias Wiersema, Masood Raeisi Nafchi, Arne Bockhorn, and Marco Platzner. “Timing Optimization for Virtual FPGA Configurations.” 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.
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2021 | Journal Article | LibreCat-ID: 30906
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.” Journal of NeuroEngineering and Rehabilitation 18, no. 1 (2021). https://doi.org/10.1186/s12984-021-00822-6.
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2021 | Journal Article | LibreCat-ID: 30907
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.” IEEE Transactions on Computers, 2021, 1–1. https://doi.org/10.1109/tc.2021.3107196.
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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, 2021.
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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.
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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 | Mastersthesis | LibreCat-ID: 21433
Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture, 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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