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404 Publications


2021 | Conference Paper | LibreCat-ID: 21953
Witschen, L. M., Wiersema, T., Raeisi Nafchi, M., Bockhorn, A., & Platzner, M. (n.d.). Timing Optimization for Virtual FPGA Configurations. In F. Hannig, S. Derrien, P. Diniz, & D. Chillet (Eds.), Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-79025-7_4
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2021 | Journal Article | LibreCat-ID: 30906
Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., & Dosen, S. (2021). Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 25. https://doi.org/10.1186/s12984-021-00822-6
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2021 | Journal Article | LibreCat-ID: 30907
Rodriguez, A., Otero, A., Platzner, M., & De la Torre, E. (2021). Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs. IEEE Transactions on Computers, 1–1. https://doi.org/10.1109/tc.2021.3107196
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2021 | Conference Paper | LibreCat-ID: 30909
Clausing, L. (2021). ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip. Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. https://doi.org/10.1145/3468044.3468056
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2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, H., Jentzsch, F., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2021). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
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2020 | Conference Paper | LibreCat-ID: 3583
Guetttatfi, Z., Kaufmann, P., & Platzner, M. (2020). 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).
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2020 | Mastersthesis | LibreCat-ID: 21324
Chandrakar, K. (2020). Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis.
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2020 | Bachelorsthesis | LibreCat-ID: 21432
Henke, L.-S. (2020). Evaluation of a ReconOS-ROS Combination based on a Video Processing Application.
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2020 | Mastersthesis | LibreCat-ID: 21433
Jentzsch, F. P. (2020). Design and Implementation of a ReconOS-based TensorFlow Lite Delegate Architecture.
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2020 | Conference Paper | LibreCat-ID: 21584
Gatica, C. P., & Platzner, M. (2020). Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures. In Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59084-3_9
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2020 | Journal Article | LibreCat-ID: 17358
Witschen, L. M., Wiersema, T., & Platzner, M. (2020). Proof-carrying Approximate Circuits. IEEE Transactions On Very Large Scale Integration Systems, 28(9), 2084–2088. https://doi.org/10.1109/TVLSI.2020.3008061
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2020 | Journal Article | LibreCat-ID: 17369
Ho, N., Kaufmann, P., & Platzner, M. (2020). Evolution of Application-Specific Cache Mappings. International Journal of Hybrid Intelligent Systems.
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2020 | Preprint | LibreCat-ID: 20748
Witschen, L. M., Wiersema, T., & Platzner, M. (n.d.). Search Space Characterization for AxC Synthesis. Fifth Workshop on Approximate Computing (AxC 2020).
LibreCat | Files available
 

2020 | Conference Paper | LibreCat-ID: 20750
Lienen, C., Platzner, M., & Rinner, B. (2020). ReconROS: Flexible Hardware Acceleration for ROS2 Applications. In Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT).
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2020 | Bachelorsthesis | LibreCat-ID: 20820
Thiele, S. (2020). Implementing Machine Learning Functions as PYNQ FPGA Overlays.
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2020 | Mastersthesis | LibreCat-ID: 20821
Jaganath, V. (2020). Extension and Evaluation of Python-based High-Level Synthesis Tool Flows.
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2020 | Conference Paper | LibreCat-ID: 20838
Loesch, A., & Platzner, M. (2020). MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes. In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). https://doi.org/10.1109/ipdpsw50202.2020.00012
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2020 | Conference Paper | LibreCat-ID: 17063
Hansmeier, T., Kaufmann, P., & Platzner, M. (2020). An Adaption Mechanism for the Error Threshold of XCSF. GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1756–1764. https://doi.org/10.1145/3377929.3398106
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2020 | Journal Article | LibreCat-ID: 17092
Anwer, J., Meisner, S., & Platzner, M. (2020). Dynamic Reliability Management for FPGA-Based Systems. International Journal of Reconfigurable Computing, 1–19. https://doi.org/10.1155/2020/2808710
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2020 | Journal Article | LibreCat-ID: 15836
Bellman, K., Dutt, N., Esterle, L., Herkersdorf, A., Jantsch, A., Landauer, C., … Tammemäe, K. (2020). Self-aware Cyber-Physical Systems. ACM Transactions on Cyber-Physical Systems, Accepted for Publication, 1–24.
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