Florian Porrmann

According to our database, Florian Porrmann authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Efficient Edge AI for Next Generation Smart Mirror Applications.

Nils Kucza, Florian Porrmann, Christian Stollenwerk, Jens Hagemeyer

IEEE Access, 2025

Evaluating HBM to Accelerate Neural Networks on FPGAs Demonstrated Using Binary Neural Associative Memories.

Florian Porrmann, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert

Proceedings of the Advances in Computational Intelligence, 2025

Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators.

Kevin Mika, Nils Kucza, Florian Porrmann, Jens Hagemeyer

Proceedings of the Advances in Computational Intelligence, 2025

RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum.

René Griessl, Florian Porrmann, Kevin Mika, Lennart Tigges, Jens Hagemeyer

Proceedings of the Advances in Computational Intelligence, 2025

Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing.

Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rückert, Barbara Hammer

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

HLS-Based Large Scale Self-Organizing Feature Maps.

Florian Porrmann, Jens Hagemeyer, Mario Porrmann

IEEE Access, 2024

2023

RECS: A Scalable Platform for Heterogeneous Computing.

Kevin Mika, Florian Porrmann, Nils Kucza, René Griessl, Jens Hagemeyer

Proceedings of the 36th IEEE International System-on-Chip Conference, 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, Daniel Ödman, Karol Gugala, Grzegorz Latosinski

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

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, Marcelo Pasin, Pascal Felber, Carina Marcus, Oliver Brunnegård, Olof Eriksson, Hans Salomonsson, Daniel Ödman, Andreas Ask, António Casimiro, Alysson Bessani, Tiago Carvalho, Karol Gugala, Piotr Zierhoffer, Grzegorz Latosinski, Marco Tassemeier, Mario Porrmann, Hans-Martin Heyn, Eric Knauss, Yufei Mao, Franz Meierhöfer

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

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, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

CoRR, 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, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Neves Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugala, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

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

Frontiers Neuroinformatics, 2021

2020

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

Algorithms, 2020