8 Publications
2026 | Journal Article | LibreCat-ID: 61152
Umuroglu, Yaman, Christoph Berganski, Felix Jentzsch, Michal Danilowicz, Tomasz Kryjak, Charalampos Bezaitis, Magnus Sjalander, et al. “SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators.” ACM Transactions on Reconfigurable Technology and Systems, n.d. https://doi.org/10.1145/3807510.
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 65501
Stasytis, Lukas, Felix Jentzsch, Thomas Preusser, Yaman Umuroglu, Jakoba Petri-Koenig, and Zsolt István. “Heuristic & Expert-Guided Buffer Sizing for Neural Network Inference Applications on FPGAs.” In 2025 International Conference on Field Programmable Technology (ICFPT). IEEE, 2026. https://doi.org/10.1109/icfpt67023.2025.00032.
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 65500
Jentzsch, Felix, and Marco Platzner. “Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators.” In 2025 International Conference on Field Programmable Technology (ICFPT). IEEE, 2026. https://doi.org/10.1109/icfpt67023.2025.00044.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 56481
Berganski, Christoph, Felix Jentzsch, Marco Platzner, Max Kuhmichel, and Heiner Giefers. “FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers,” 2024.
LibreCat
2023 | Book Chapter | LibreCat-ID: 45899 | 
Boschmann, Alexander, Lennart Clausing, Felix Jentzsch, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:225–36. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068713.
LibreCat
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2023 | Conference Paper | LibreCat-ID: 53435
Jentzsch, Felix. “Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML.” In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 2023. https://doi.org/10.1109/fpl60245.2023.00066.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33990
Jentzsch, Felix, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, and Marco Platzner. “RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures.” IEEE Micro 42, no. 6 (2022): 125–33. https://doi.org/10.1109/MM.2022.3202091.
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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. Springer, 2021. https://doi.org/10.1007/978-3-030-93736-2_27.
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8 Publications
2026 | Journal Article | LibreCat-ID: 61152
Umuroglu, Yaman, Christoph Berganski, Felix Jentzsch, Michal Danilowicz, Tomasz Kryjak, Charalampos Bezaitis, Magnus Sjalander, et al. “SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators.” ACM Transactions on Reconfigurable Technology and Systems, n.d. https://doi.org/10.1145/3807510.
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 65501
Stasytis, Lukas, Felix Jentzsch, Thomas Preusser, Yaman Umuroglu, Jakoba Petri-Koenig, and Zsolt István. “Heuristic & Expert-Guided Buffer Sizing for Neural Network Inference Applications on FPGAs.” In 2025 International Conference on Field Programmable Technology (ICFPT). IEEE, 2026. https://doi.org/10.1109/icfpt67023.2025.00032.
LibreCat
| DOI
2026 | Conference Paper | LibreCat-ID: 65500
Jentzsch, Felix, and Marco Platzner. “Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators.” In 2025 International Conference on Field Programmable Technology (ICFPT). IEEE, 2026. https://doi.org/10.1109/icfpt67023.2025.00044.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 56481
Berganski, Christoph, Felix Jentzsch, Marco Platzner, Max Kuhmichel, and Heiner Giefers. “FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers,” 2024.
LibreCat
2023 | Book Chapter | LibreCat-ID: 45899 |
Boschmann, Alexander, Lennart Clausing, Felix Jentzsch, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:225–36. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068713.
LibreCat
| Files available
| DOI
2023 | Conference Paper | LibreCat-ID: 53435
Jentzsch, Felix. “Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML.” In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 2023. https://doi.org/10.1109/fpl60245.2023.00066.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33990
Jentzsch, Felix, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, and Marco Platzner. “RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures.” IEEE Micro 42, no. 6 (2022): 125–33. https://doi.org/10.1109/MM.2022.3202091.
LibreCat
| DOI
| Download (ext.)
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. Springer, 2021. https://doi.org/10.1007/978-3-030-93736-2_27.
LibreCat
| DOI