Konstantin Lübeck

14 papers C 1Misc 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators.
ACM Trans. Embed. Comput. Syst.
Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Mika Markus Müller, Federico Nicolás Peccia, Felix Thömmes, Jannik Steinmetz, Valentin Biermaier, Adrian Frischknecht, Paul Palomero Bernardo, Oliver Bringmann
2025 J jnl
FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing.
CoRR
Mika Markus Müller, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Oliver Bringmann
2025 — conf
PyCacheGen: A Highly Configurable Open-Source Generator for Synthesizable Caches.
CPS Summer School, PhD Workshop
Richard Müller, Konstantin Lübeck, Michael Kuhn, Paul Palomero Bernardo, Oliver Bringmann
2024 J jnl
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators.
CoRR
Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Mika Markus Müller, Federico Nicolás Peccia, Felix Thömmes, Jannik Steinmetz, Valentin Biermaier, Adrian Frischknecht, Paul Palomero Bernardo, Oliver Bringmann
2024 — conf
It's All About PR - Smart Benchmarking AI Accelerators Using Performance Representatives.
SAMOS
Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck, Oliver Bringmann
2024 J jnl
It's all about PR - Smart Benchmarking AI Accelerators using Performance Representatives.
CoRR
Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck, Oliver Bringmann
2024 J jnl
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators.
CoRR
Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Oliver Bringmann
2022 C conf
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices.
DSD
Christoph Gerum, Adrian Frischknecht, Tobias Hald, Paul Palomero Bernardo, Konstantin Lübeck, Oliver Bringmann
2022 J jnl
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices.
CoRR
Christoph Gerum, Adrian Frischknecht, Tobias Hald, Paul Palomero Bernardo, Konstantin Lübeck, Oliver Bringmann
2022 Misc conf
Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators.
CASES
Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Oliver Bringmann
2021 — conf
APPEL - AGILA ProPErty and Dependency Description Language.
MBMV
Christoph Grimm, Frank Wawrzik, Alexander Louis-Ferdinand Jung, Konstantin Lübeck, Sebastian Post, Johannes Koch, Oliver Bringmann
2020 J jnl
UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Paul Palomero Bernardo, Christoph Gerum, Adrian Frischknecht, Konstantin Lübeck, Oliver Bringmann
2019 — conf
A Heterogeneous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks.
ARCS
Konstantin Lübeck, Oliver Bringmann
2016 — conf
Neues Konzept zur Steigerung der Zuverlässigkeit einer ARM-basierten Prozessorarchitektur unter Verwendung eines CGRAs.
MBMV
Konstantin Lübeck, David Morgenstern, Thomas Schweizer, Dustin Peterson, Wolfgang Rosenstiel, Oliver Bringmann