Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. - Sarah Pilz; Florian Porrmann; Martin Kaiser; Jens Hagemeyer; James M. Hogan; Ulrich Rückert 001 (Algorithms, 2020)

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation. - Florian Porrmann; Sarah Pilz; Alessandra Stella; Alexander Kleinjohann; Michael Denker; Jens Hagemeyer; Ulrich Rückert 001 (Frontiers Neuroinformatics, 2021)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (DATE, 2022)

VEDLIoT: Very Efficient Deep Learning in IoT. - Martin Kaiser; René Griessl; Nils Kucza; Carola Haumann; Lennart Tigges; Kevin Mika; Jens Hagemeyer; Florian Porrmann; Ulrich Rückert 001; Micha vor dem Berge; Stefan Krupop; Mario Porrmann; et al. (CoRR, 2022)

VEDLIoT: Next generation accelerated AIoT systems and applications. - Kevin Mika; René Griessl; Nils Kucza; Florian Porrmann; Martin Kaiser; Lennart Tigges; Jens Hagemeyer; Pedro Trancoso; Muhammad Waqar Azhar; Fareed Qararyah; Stavroula Zouzoula; Jämes Ménétrey; et al. (CF, 2023)

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. - René Griessl; Florian Porrmann; Nils Kucza; Kevin Mika; Jens Hagemeyer; Martin Kaiser; Mario Porrmann; Marco Tassemeier; Marcel Flottmann; Fareed Qararyah; Muhammad Waqar Azhar; Pedro Trancoso; et al. (DATE, 2023)

RECS: A Scalable Platform for Heterogeneous Computing. - Kevin Mika; Florian Porrmann; Nils Kucza; René Griessl; Jens Hagemeyer (SOCC, 2023)

HLS-Based Large Scale Self-Organizing Feature Maps. - Florian Porrmann; Jens Hagemeyer; Mario Porrmann (IEEE Access, 2024)

Efficient Edge AI for Next Generation Smart Mirror Applications. - Nils Kucza; Florian Porrmann; Christian Stollenwerk; Jens Hagemeyer (IEEE Access, 2025)