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ORCIDKonstantin Lübeck
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Journal Articles
- 2020
[j1]Paul Palomero Bernardo
, Christoph Gerum, Adrian Frischknecht, Konstantin Lübeck, Oliver Bringmann:
UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4240-4251 (2020)
Conference and Workshop Papers
- 2022
- [c5]Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Oliver Bringmann:
Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators. CASES 2022: 27-28 - [c4]Christoph Gerum, Adrian Frischknecht, Tobias Hald, Paul Palomero Bernardo, Konstantin Lübeck, Oliver Bringmann:
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices. DSD 2022: 365-369 - 2021
- [c3]Christoph Grimm, Frank Wawrzik, Alexander Louis-Ferdinand Jung, Konstantin Lübeck, Sebastian Post, Johannes Koch, Oliver Bringmann:
APPEL - AGILA ProPErty and Dependency Description Language. MBMV 2021: 1-11 - 2019
- [c2]Konstantin Lübeck, Oliver Bringmann:
A Heterogeneous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks. ARCS 2019: 267-280 - 2016
- [c1]Konstantin Lübeck, David Morgenstern, Thomas Schweizer, Dustin Peterson, Wolfgang Rosenstiel, Oliver Bringmann:
Neues Konzept zur Steigerung der Zuverlässigkeit einer ARM-basierten Prozessorarchitektur unter Verwendung eines CGRAs. MBMV 2016: 46-58
Informal and Other Publications
- 2024
- [i4]Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Oliver Bringmann:
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators. CoRR abs/2402.00069 (2024) - [i3]Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck, Oliver Bringmann:
It's all about PR - Smart Benchmarking AI Accelerators using Performance Representatives. CoRR abs/2406.08330 (2024) - [i2]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:
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators. CoRR abs/2409.08595 (2024) - 2022
- [i1]Christoph Gerum, Adrian Frischknecht, Tobias Hald, Paul Palomero Bernardo, Konstantin Lübeck, Oliver Bringmann:
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices. CoRR abs/2209.03807 (2022)
Coauthor Index
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