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380 Publications


2020 | Mastersthesis | LibreCat-ID: 20821
Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.
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2020 | Conference Paper | LibreCat-ID: 20838
Loesch, Achim, and Marco Platzner. “MigHEFT: DAG-Based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes.” In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020. https://doi.org/10.1109/ipdpsw50202.2020.00012.
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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 | Conference Paper | LibreCat-ID: 16363
Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.” In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 125–26. New York, NY, United States: Association for Computing Machinery (ACM), 2020. https://doi.org/10.1145/3377929.3389968.
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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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2020 | Conference Paper | LibreCat-ID: 16213
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.” In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020. https://doi.org/10.1145/3386263.3406952.
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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 | Mastersthesis | LibreCat-ID: 21433
Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture, 2020.
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2019 | Preprint | LibreCat-ID: 16853
Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Fourth Workshop on Approximate Computing (AxC 2019), n.d.
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