Konstantin Lübeck

Photo of Lübeck, Konstantin

Konstantin Lübeck
University of Tübingen
Dpt. of Computer Science
Embedded Systems
Sand 13
72076 Tübingen
Germany

Telephone: +49 - (0) 70 71 - 29 - 78998
Telefax: +49 - (0) 70 71 - 29 - 50 62
E-Mail: Mail
Office: Sand 13, B225
Office hours: Open Door Policy

Konstantin Lübeck is a graduate research assistant at the Chair for Embedded Systems of the University of Tübingen. He received B.Sc. and M.Sc. degrees in Computer Science from the University of Tübingen in 2015 and 2018 respectively with a major focus on computer engineering and embedded systems. In 2016, he studied at the Uppsala University as an Erasmus exchange student. In 2017, he received a scholarship for master’s thesis from the Stiftung Industrieforschung. Since 2018, he is a lecturer of computer architecture for the Bosch Learning Company initiative at the technology transfer center Tübingen. In addition to his academic work, he is a trained mechatronics technician (certified by the German chamber of industry and commerce, IHK) and worked as a self-employed software developer. His research interests are performance characterisation, modelling, and prediction of embedded systems, heterogeneous multi-core architectures, and computer architecture.

Research Interests

Performance Characterisation, Modelling, and Prediction
Computer Architecture
Embedded Systems
Heterogeneous Architectures

Publications

2021

APPEL - AGILA ProPErty and Dependency Description Language

by Christoph Grimm, Frank Wawrzik, Alexander Jung, Konstantin Luebeck, Sebastian Post, Johannes Koch, and Oliver Bringmann
In Proceedings Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV) Workshop 2021, 2021.

2020

UltraTrail: A Configurable Ultra-Low Power TC-ResNet AI Accelerator for Efficient Keyword Spotting

by Paul Palomero Bernardo, Christoph Gerum, Adrian Frischknecht, Konstantin Lübeck, and Oliver Bringmann
In 2020 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), pages 1-12, 2020.

2019

A Heterogeneous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks

by Konstantin Lübeck and Oliver Bringmann
In Architecture of Computing Systems (ARCS 2019), 2019.

2016

Neues Konzept zur Steigerung der Zuverlaessigkeit einer ARM-basierten Prozessorarchitektur unter Verwendung eines CGRAs

by Konstantin Luebeck, David Morgenstern, Thomas Schweizer, Dustin Peterson, Wolfgang Rosenstiel, and Oliver Bringmann
In Proceedings Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV) Workshop 2016, 2016.

Research projects

GENIAL!

Scale4Edge

Teaching

Advanced Topics in Embedded Systems	Summer 2019
Entwurf und Synthese Eingebetteter Systeme	Summer 2019
Moderne Architekturen Eingebetteter Systeme	Winter 2018 Winter 2019 Winter 2020
Parallele Rechnerarchitekturen	Summer 2020 Summer 2021

Thesis Topics

Open Thesis Topics

Extension of an on-chip Instruction Tracer for the RI5CY Processor

Master’s Thesis

Assigned Thesis Topics

Implementation of the Pico-CNN Deep Learning Inference Framework for RISC-V

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Scheduling of Neural Network Operations on Embedded Multi-core CPUs

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Implementation of the Pico-CNN Deep Learning Inference Framework in OpenCL for Embedded Devices

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Finished Thesis Topics

Deployment of a Deep Learning Face-Recognition System on a Raspberry Pi using Pico-CNN

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Design and Implementation of a WYSIWYG Web App for Abstract HW/SW Description Languages

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Design and Implementation of an Arduino Based GPIO Multiplexer

Bachelor’s Thesis

Design and Implementation of an Instruction Trace Translator

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Entwicklung eines Hardwarebeschleunigers für Voice-Activity-Detection

Bachelorthesis

Refactoring und Synthese des superskalaren TÜRI5X-Prozessorkerns

Bachelorthesis

Implementation eines analytischen Performance-Modells für den Prozessorkern des Broadcom BCM2836

Bachelor’s Thesis

Erstellung eines Datensatzes mit Keywords und Hintergrundgeräuschen

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Erweiterung des PULP-SDKs um die Unterstützung des LLVM Compilers

Bachelor’s Thesis

Entwurf und Implementierung einer Cache-Architektur für den PULPissimo SoC

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Implementation und Evaluierung der Minerva-Beschleunigerarchitektur für DNNs

Bachelor’s Thesis

Integration eines On-Chip CAN-Controllers in den PULPissimo SoC

Bachelor’s Thesis

Entwurf und Implementation eines Hardware-Beschleunigers für TC-ResNet8

Master’s Thesis

Erweiterung des RI5CY-Prozessorkerns um dynamische Verfahren zur Sprungvorhersage

Bachelor’s Thesis

Entwurf und Implementation einer energie- und flächensparenden ALU für den RI5CY-Prozessorkern

Bachelor’s Thesis

Erweiterung des RI5CY-Cores um eine Issue Pipeline-Stufe zur superskalaren Ausführung von Instruktionen

Bachelor’s Thesis

News

GENIAL! - Gemeinsame Elektronik-Roadmap für Innovationen der automobilen Wertschöpfungskette

Neues BMBF-Projekt in der Informatik der Universität Tübingen zur Erstellung einer automotive Innovations-Roadmap. BMBF und Industrie fördern Vorhaben mit insgesamt 19,6 Millionen Euro.