4 Publications
2023 | Book Chapter | LibreCat-ID: 45899 | 
Boschmann A, Clausing L, Jentzsch F, Ghasemzadeh Mohammadi H, Platzner M. Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:225-236. doi:10.5281/zenodo.8068713
LibreCat
| Files available
| DOI
2023 | Conference Paper | LibreCat-ID: 53435
Jentzsch F. 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. doi:10.1109/fpl60245.2023.00066
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33990
Jentzsch F, Umuroglu Y, Pappalardo A, Blott M, Platzner M. RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro. 2022;42(6):125-133. doi:10.1109/MM.2022.3202091
LibreCat
| DOI
| Download (ext.)
2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi H, Jentzsch F, Kuschel M, et al. 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. doi:https://doi.org/10.1007/978-3-030-93736-2_27
LibreCat
| DOI
4 Publications
2023 | Book Chapter | LibreCat-ID: 45899 |
Boschmann A, Clausing L, Jentzsch F, Ghasemzadeh Mohammadi H, Platzner M. Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:225-236. doi:10.5281/zenodo.8068713
LibreCat
| Files available
| DOI
2023 | Conference Paper | LibreCat-ID: 53435
Jentzsch F. 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. doi:10.1109/fpl60245.2023.00066
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33990
Jentzsch F, Umuroglu Y, Pappalardo A, Blott M, Platzner M. RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro. 2022;42(6):125-133. doi:10.1109/MM.2022.3202091
LibreCat
| DOI
| Download (ext.)
2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi H, Jentzsch F, Kuschel M, et al. 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. doi:https://doi.org/10.1007/978-3-030-93736-2_27
LibreCat
| DOI