Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning. - Tobias Alonso; Lucian Petrica; Mario Ruiz; Jakoba Petri-Koenig; Yaman Umuroglu; Ioannis Stamelos; Elias Koromilas; Michaela Blott; Kees A. Vissers (ACM Trans. Reconfigurable Technol. Syst., 2022)

A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. - Ian Colbert; Alessandro Pappalardo; Jakoba Petri-Koenig (ICCV, 2023)

OctoRay: Framework for Scalable FPGA Cluster Acceleration of Python Big Data Applications. - Zaid Al-Ars; Jakoba Petri-Koenig; Joost Hoozemans; Luc Dierick; H. Peter Hofstee (SC Workshops, 2023)

Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. - Ian Colbert; Alessandro Pappalardo; Jakoba Petri-Koenig (CoRR, 2023)

A2Q+: Improving Accumulator-Aware Weight Quantization. - Ian Colbert; Alessandro Pappalardo; Jakoba Petri-Koenig; Yaman Umuroglu (ICML, 2024)

FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs. - Shashwat Khandelwal; Jakoba Petri-Koenig; Thomas B. Preußer; Michaela Blott; Shreejith Shanker (CoRR, 2025)