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405 Publications


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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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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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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