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5 Publications
2024 | Conference Paper | LibreCat-ID: 56481
Berganski, C., Jentzsch, F., Platzner, M., Kuhmichel, M., & Giefers, H. (2024). FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers. International Conference on Field Programmable Technology, Sydney.
LibreCat
2023 | Book Chapter | LibreCat-ID: 45899 |
Boschmann, A., Clausing, L., Jentzsch, F., Ghasemzadeh Mohammadi, H., & Platzner, M. (2023). Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 225–236). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068713
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2023 | Conference Paper | LibreCat-ID: 53435
Jentzsch, F. (2023). Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML. 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). https://doi.org/10.1109/fpl60245.2023.00066
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| DOI
2022 | Journal Article | LibreCat-ID: 33990
Jentzsch, F., Umuroglu, Y., Pappalardo, A., Blott, M., & Platzner, M. (2022). RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro, 42(6), 125–133. https://doi.org/10.1109/MM.2022.3202091
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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. https://doi.org/10.1007/978-3-030-93736-2_27
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