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Alexander Jung

Photo of Jung, Alexander

Alexander Jung
University of Tübingen
Dpt. of Computer Science
Embedded Systems
Sand 13
72076 Tübingen
Germany

Telephone: +49 - (0) 70 71 - 29 - 75940
Telefax: +49 - (0) 70 71 - 29 - 50 62
E-Mail: Mail
Office: Sand 13, B202
Office hours: Open Door Policy

Profile on Linkedin

Content

Research projects
Teaching
Thesis Topics
News

Research Interests

Abstract software characterization
Performance analysis
Performance prediction
Heterogeneous architectures

Research projects

GENIAL!

Teaching

Advanced Topics in Embedded Systems	Summer 2019
Moderne Architekturen Eingebetteter Systeme	Winter 2019 Winter 2020
Programming Ultra Low Power Architectures	Summer 2020
Seminar: Eingebettete Systeme	Summer 2019 Summer 2020
Teamprojekt: Sprachverarbeitung auf einer IoT-Plattform	Summer 2019 Summer 2020

Thesis Topics

Open Thesis Topics

Open Thesis Topics

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

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

Implementation of the Pico-CNN Deep Learning Inference Framework for Arduino Microcontrollers

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

Implementierung eines Pulpissimo-Backends für die LLVM Compiler-Infrastruktur

Bachelor’s/Master Thesis, Forschungsmodul

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

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

Assigned Thesis Topics

Assigned 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

Scheduling of Neural Network Operations on Embedded Multi-core CPUs

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

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

Finished Thesis Topics

Erweiterung des PULP-SDKs um die Unterstützung des LLVM Compilers

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.