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406 Publications


2021 | Preprint | LibreCat-ID: 22764 | OA
C. Lienen and M. Platzner, “Design of Distributed Reconfigurable Robotics Systems with ReconROS,” arXiv:2107.07208. 2021.
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2021 | Conference Paper | LibreCat-ID: 21953
L. M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, and M. Platzner, “Timing Optimization for Virtual FPGA Configurations,” in Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), Virtual conference, doi: 10.1007/978-3-030-79025-7_4.
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2021 | Journal Article | LibreCat-ID: 30906
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation, vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.
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2021 | Journal Article | LibreCat-ID: 30907
A. Rodriguez, A. Otero, M. Platzner, and E. De la Torre, “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs,” IEEE Transactions on Computers, pp. 1–1, 2021, doi: 10.1109/tc.2021.3107196.
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2021 | Conference Paper | LibreCat-ID: 30909
L. Clausing, “ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip,” 2021, doi: 10.1145/3468044.3468056.
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2021 | Conference Paper | LibreCat-ID: 30908
H. Ghasemzadeh Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,” 2021.
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2021 | Conference Paper | LibreCat-ID: 21813
T. Hansmeier and M. 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, Lille, France, 2021, pp. 1639–1647, doi: 10.1145/3449726.3463159.
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2020 | Conference Paper | LibreCat-ID: 3583
Z. Guetttatfi, P. Kaufmann, and M. 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
K. Chandrakar, Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis. 2020.
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2020 | Bachelorsthesis | LibreCat-ID: 21432
L.-S. Henke, Evaluation of a ReconOS-ROS Combination based on a Video Processing Application. 2020.
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2020 | Mastersthesis | LibreCat-ID: 21433
F. P. Jentzsch, Design and Implementation of a ReconOS-based TensorFlow Lite Delegate Architecture. 2020.
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2020 | Conference Paper | LibreCat-ID: 21584
C. P. Gatica and M. Platzner, “Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures,” in Machine Learning for Cyber Physical Systems (ML4CPS 2017), 2020.
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2020 | Journal Article | LibreCat-ID: 17358
L. M. Witschen, T. Wiersema, and M. Platzner, “Proof-carrying Approximate Circuits,” IEEE Transactions On Very Large Scale Integration Systems, vol. 28, no. 9, pp. 2084–2088, 2020.
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2020 | Journal Article | LibreCat-ID: 17369
N. Ho, P. Kaufmann, and M. Platzner, “Evolution of Application-Specific Cache Mappings,” International Journal of Hybrid intelligent Systems, 2020.
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2020 | Preprint | LibreCat-ID: 20748
L. M. Witschen, T. Wiersema, and M. Platzner, “Search Space Characterization for AxC Synthesis,” Fifth Workshop on Approximate Computing (AxC 2020). .
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2020 | Conference Paper | LibreCat-ID: 20750
C. Lienen, M. Platzner, and B. Rinner, “ReconROS: Flexible Hardware Acceleration for ROS2 Applications,” in Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.
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2020 | Bachelorsthesis | LibreCat-ID: 20820
S. Thiele, Implementing Machine Learning Functions as PYNQ FPGA Overlays. 2020.
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2020 | Mastersthesis | LibreCat-ID: 20821
V. Jaganath, Extension and Evaluation of Python-based High-Level Synthesis Tool Flows. 2020.
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2020 | Conference Paper | LibreCat-ID: 20838
A. Loesch and M. Platzner, “MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes,” in 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020.
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2020 | Conference Paper | LibreCat-ID: 17063
T. Hansmeier, P. Kaufmann, and M. Platzner, “An Adaption Mechanism for the Error Threshold of XCSF,” in GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, 2020, pp. 1756–1764, doi: 10.1145/3377929.3398106.
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