Florian Porrmann

14 papers A 2B 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Edge AI for Next Generation Smart Mirror Applications.
IEEE Access
Nils Kucza, Florian Porrmann, Christian Stollenwerk, Jens Hagemeyer
2025 B conf
Energy Efficient Online Stream Classification under Concept Drift on FPGAs for Edge Computing.
IJCNN
Jonas Vaquet, Florian Porrmann, Sarah Pilz, Valerie Vaquet, Jens Hagemeyer, Ulrich Rückert, Barbara Hammer
2025 — conf
Evaluating HBM to Accelerate Neural Networks on FPGAs Demonstrated Using Binary Neural Associative Memories.
IWANN (1)
Florian Porrmann, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert
2025 — conf
Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators.
IWANN (1)
Kevin Mika, Nils Kucza, Florian Porrmann, Jens Hagemeyer
2025 — conf
RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum.
IWANN (1)
René Griessl, Florian Porrmann, Kevin Mika, Lennart Tigges, Jens Hagemeyer
2024 J jnl
HLS-Based Large Scale Self-Organizing Feature Maps.
IEEE Access
Florian Porrmann, Jens Hagemeyer, Mario Porrmann
2023 A conf
Evaluation of heterogeneous AIoT Accelerators within VEDLIoT.
DATE
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
2023 — conf
RECS: A Scalable Platform for Heterogeneous Computing.
SOCC
Kevin Mika, Florian Porrmann, Nils Kucza, René Griessl, Jens Hagemeyer
2023 J jnl
VEDLIoT - Next generation accelerated AIoT systems and applications.
CoRR
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
2023 — conf
VEDLIoT: Next generation accelerated AIoT systems and applications.
CF
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
2022 A conf
VEDLIoT: Very Efficient Deep Learning in IoT.
DATE
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
2022 J jnl
VEDLIoT: Very Efficient Deep Learning in IoT.
CoRR
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
2021 J jnl
Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation.
Frontiers Neuroinformatics
Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, Ulrich Rückert
2020 J jnl
Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs.
Algorithms
Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan, Ulrich Rückert