Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators
F. Jentzsch, M. Platzner, in: 2025 International Conference on Field Programmable Technology (ICFPT), IEEE, 2026.
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2025 International Conference on Field Programmable Technology (ICFPT)
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Jentzsch F, Platzner M. Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators. In: 2025 International Conference on Field Programmable Technology (ICFPT). IEEE; 2026. doi:10.1109/icfpt67023.2025.00044
Jentzsch, F., & Platzner, M. (2026). Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators. 2025 International Conference on Field Programmable Technology (ICFPT). https://doi.org/10.1109/icfpt67023.2025.00044
@inproceedings{Jentzsch_Platzner_2026, title={Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators}, DOI={10.1109/icfpt67023.2025.00044}, booktitle={2025 International Conference on Field Programmable Technology (ICFPT)}, publisher={IEEE}, author={Jentzsch, Felix and Platzner, Marco}, year={2026} }
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.
F. Jentzsch and M. Platzner, “Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators,” 2026, doi: 10.1109/icfpt67023.2025.00044.
Jentzsch, Felix, and Marco Platzner. “Empirical QoR Estimation Flow for Fast Design Space Exploration of DNN Dataflow Accelerators.” 2025 International Conference on Field Programmable Technology (ICFPT), IEEE, 2026, doi:10.1109/icfpt67023.2025.00044.
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