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15 Publications
2022 | Conference Paper | LibreCat-ID: 29945
Witschen, Linus Matthias, Tobias Wiersema, Lucas David Reuter, and Marco Platzner. “Search Space Characterization for Approximate Logic Synthesis .” In 2022 59th ACM/IEEE Design Automation Conference (DAC), n.d.
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2022 | Conference Paper | LibreCat-ID: 29865
Witschen, Linus Matthias, Tobias Wiersema, Matthias Artmann, and Marco Platzner. “MUSCAT: MUS-Based Circuit Approximation Technique.” In Design, Automation and Test in Europe (DATE), n.d.
LibreCat
2022 | Dissertation | LibreCat-ID: 34041
Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis, 2022. https://doi.org/10.17619/UNIPB/1-1649.
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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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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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2020 | Preprint | LibreCat-ID: 20748
Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020), n.d.
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2019 | Conference Paper | LibreCat-ID: 10577
Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” In Proceedings of the 2019 on Great Lakes Symposium on VLSI - GLSVLSI ’19. New York, NY, USA: ACM, 2019. https://doi.org/10.1145/3299874.3317998.
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2019 | Journal Article | LibreCat-ID: 11950
Boschmann, Alexander, Andreas Agne, Georg Thombansen, Linus Matthias Witschen, Florian Kraus, and Marco Platzner. “Zynq-Based Acceleration of Robust High Density Myoelectric Signal Processing.” Journal of Parallel and Distributed Computing 123 (2019): 77–89. https://doi.org/10.1016/j.jpdc.2018.07.004.
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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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| Files available
2019 | Journal Article | LibreCat-ID: 3585
Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Microelectronics Reliability 99 (2019): 277–90. https://doi.org/10.1016/j.microrel.2019.04.003.
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2018 | Preprint | LibreCat-ID: 1165
Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Making the Case for Proof-Carrying Approximate Circuits.” 4th Workshop On Approximate Computing (WAPCO 2018), 2018.
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2018 | Preprint | LibreCat-ID: 3586
Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Third Workshop on Approximate Computing (AxC 2018), n.d.
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2017 | Conference Paper | LibreCat-ID: 10630
Boschmann, Alexander, Georg Thombansen, Linus Matthias Witschen, Alex Wiens, and Marco Platzner. “A Zynq-Based Dynamically Reconfigurable High Density Myoelectric Prosthesis Controller.” In Design, Automation and Test in Europe (DATE), 2017. https://doi.org/10.23919/DATE.2017.7927137.
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2017 | Mastersthesis | LibreCat-ID: 1157
Witschen, Linus Matthias. A Framework for the Synthesis of Approximate Circuits. Universität Paderborn, 2017.
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2016 | Conference Paper | LibreCat-ID: 15873
Boschmann, Alexander, Andreas Agne, Linus Matthias Witschen, Georg Thombansen, Florian Kraus, and Marco Platzner. “FPGA-Based Acceleration of High Density Myoelectric Signal Processing.” In 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE, 2016. https://doi.org/10.1109/reconfig.2015.7393312.
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