Alexander Jung

Photo of Jung, Alexander

Alexander Jung
Universität Tübingen
Fachbereich Informatik
Lehrstuhl Eingebettete Systeme
Sand 13
72076 Tübingen

Telefon: +49 - (0) 70 71 - 29 - 75940
Telefax: +49 - (0) 70 71 - 29 - 50 62
E-Mail: Mail
Büro: Sand 13, B202
Sprechstunde: Open Door Policy

Projekte auf Github

Profil auf Linkedin

Research Interests

Abstract software characterization
Performance analysis
Performance prediction
Heterogeneous architectures

Veröffentlichungen

2022

Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators

by Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, and Oliver Bringmann
In 2022 International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES), pages 27-28, 2022.

Keywords: Machine Learning, Neural Networks, Performance Prediction, Neurnal Network Accelerators

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.

2019

Systematic RISC-V based Firmware Design

by Vladimir Herdt, Daniel Große, Rolf Drechsler, Christoph Gerum, Alexander Jung, Joscha Benz, Oliver Bringmann, Michael Schwarz, Dominik Stoffel, and Wolfgang Kunz
In 2019 Forum for Specification and Design Languages, FDL 2019, Southampton, United Kingdom, September 2-4, 2019, 2019.

Forschungsprojekte

GENIAL!

Lehre

Advanced Topics in Embedded Systems	Summer 2019
Efficient Machine Learning in Hardware	Summer 2021 Summer 2022
Modellierung und Analyse von Eingebetteten Systemen	Winter 2022
Moderne Architekturen Eingebetteter Systeme	Winter 2019 Winter 2020
Programming Ultra Low Power Architectures	Summer 2020 Summer 2021 Summer 2022
Proseminar: Moderne Architekturen Eingebetteter Systeme	Winter 2021
Seminar: Eingebettete Systeme	Summer 2019 Summer 2020
Teamprojekt: Sprachverarbeitung auf einer IoT-Plattform	Summer 2019 Summer 2020

Abschlussarbeiten

Verfügbare Themen für Abschlussarbeiten

Modeling DRAM in ACADL for Performance Predictions

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

Modeling the XpulpNN Machine Learning Accelerator Instruction Set in ACADL for Performance Predictions

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

Transferring Fine-grained DNN Accelerator Architecture Performance Models to Coarse-grained Models

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

Automatic Extraction of Compute Patterns from Computer Architecture Descriptions

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

Abstract Instruction Behavior Description

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

Modeling Processing In-Memory (PIM) in ACADL for Performance Predictions

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

Modeling the VTA Machine Learning Accelerator in ACADL for Performance Predictions

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

Early Graph-based Resource Utilization Modeling

Bachelor’s Thesis / Student Research Project

ACADL to Verilog Translation

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

Implementation and Training of a Machine Learning Model to Predict Cache Hit/Miss Rates

Bachelor’s Thesis / Student Research Project

Implementation and Evaluation of a Spectrogram-based Methodology for Instruction and Memory Trace Analysis

Master’s Thesis / Student Research Project

Abschlussarbeiten in Bearbeitung

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

Abgeschlossene Abschlussarbeiten

Implementation of an Abstract Machine Learning Accelerator Generator based on ACADL

Bachelor’s Thesis / Student Research Project

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

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

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

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

Bachelor’s Thesis

Implementierung eines Pulpissimo-Backends für die LLVM Compiler-Infrastruktur

Bachelor’s/Master Thesis, Forschungsmodul

Erweiterung des PULP-SDKs um die Unterstützung des LLVM Compilers

Bachelor’s Thesis

Aktuelles

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.