Frank Hannig

About Frank Hannig

Frank Hannig, With an exceptional h-index of 30 and a recent h-index of 18 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Embedded Systems, Hardware/Software Co-Design, Domain-specific Computing, Parallelization, High-Level Synthesis.

His recent articles reflect a diverse array of research interests and contributions to the field:

OpTC--A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers

Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks

To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods

Invasive Computing

The HighPerMeshes framework for numerical algorithms on unstructured grids

MOSP: Multi-objective sensitivity pruning of deep neural networks

ACACES 2022: poster abstracts

Frank Hannig Information

University

Position

(FAU)

Citations(all)

3361

Citations(since 2020)

1318

Cited By

2570

hIndex(all)

30

hIndex(since 2020)

18

i10Index(all)

98

i10Index(since 2020)

37

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Frank Hannig Skills & Research Interests

Embedded Systems

Hardware/Software Co-Design

Domain-specific Computing

Parallelization

High-Level Synthesis

Top articles of Frank Hannig

Title

Journal

Author(s)

Publication Date

OpTC--A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers

arXiv preprint arXiv:2404.15833

Christian Heidorn

Frank Hannig

Dominik Riedelbauch

Christoph Strohmeyer

Jürgen Teich

2024/4/24

Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks

International Journal of Parallel Programming

Christian Heidorn

Muhammad Sabih

Nicolai Meyerhöfer

Christian Schinabeck

Jürgen Teich

...

2024/2/22

To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations

arXiv preprint arXiv:2306.12742

Patrick Plagwitz

Frank Hannig

Jürgen Teich

Oliver Keszocze

2023/6/22

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods

Muhammad Sabih

Mikail Yayla

Frank Hannig

Jürgen Teich

Jian-Jia Chen

2023/5/8

Invasive Computing

Nidhi Anantharajaiah

Tamim Asfour

Michael Bader

Lars Bauer

Jürgen Becker

...

2022

The HighPerMeshes framework for numerical algorithms on unstructured grids

Concurrency and Computation: Practice and Experience

Samer Alhaddad

Jens Förstner

Stefan Groth

Daniel Grünewald

Yevgen Grynko

...

2022/6/25

MOSP: Multi-objective sensitivity pruning of deep neural networks

Muhammad Sabih

Ashutosh Mishra

Frank Hannig

Jürgen Teich

2022/10/24

ACACES 2022: poster abstracts

Koen De Bosschere

2022

ACTOR: Accelerating Fault Injection Campaigns Using Timeout Detection Based on Autocorrelation

Tim-Marek Thomas

Christian Dietrich

Oskar Pusz

Daniel Lohmann

2022/6/6

Special Issue on Applied Reconfigurable Computing

Microprocessors and Microsystems

Christos-Savvas Bouganis

Marek Gorgon

Vanderlei Bonato

2017

Precision-and accuracy-reconfigurable processor architectures—An overview

Marcel Brand

Frank Hannig

Oliver Keszocze

Jürgen Teich

2022/5/9

TRAC: compilation-based design of transformer accelerators for fpgas

Patrick Plagwitz

Frank Hannig

Jürgen Teich

2022/8/29

DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks

Muhammad Sabih

Frank Hannig

Jürgen Teich

2022/4/5

Hardware-Aware Evolutionary Filter

Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd International Conference, SAMOS 2022, Samos, Greece, July 3–7, 2022, Proceedings

Frank Hannig

Jürgen Teich

2022/8/13

Validation and Demonstrator

Jürgen Becker

Frank Hannig

Thomas Wild

Marcel Brand

Oliver Lenke

...

2022

Hardware-aware evolutionary filter pruning

Christian Heidorn

Nicolai Meyerhöfer

Christian Schinabeck

Frank Hannig

Jürgen Teich

2022/7/3

HighPerMeshes–a domain-specific language for numerical algorithms on unstructured grids

Samer Alhaddad

Jens Förstner

Stefan Groth

Daniel Grünewald

Yevgen Grynko

...

2021

An efficient approach for image border handling on GPUs via iteration space partitioning

Bo Qiao

Jürgen Teich

Frank Hannig

2021/6/17

Open source hardware

Computer

Frank Hannig

Jurgen Teich

2021/9/24

HipaccVX: wedding of OpenVX and DSL-based code generation

Journal of Real-Time Image Processing

M Akif Özkan

Burak Ok

Bo Qiao

Jürgen Teich

Frank Hannig

2021/6

See List of Professors in Frank Hannig University(Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-Authors

H-index: 72
Sven Apel

Sven Apel

Universität des Saarlandes

H-index: 63
Jürgen Teich

Jürgen Teich

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 50
Ulrich Rüde

Ulrich Rüde

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 36
Christian Lengauer

Christian Lengauer

Universität Passau

H-index: 20
Daniel Ziener

Daniel Ziener

Technische Universität Ilmenau

H-index: 17
Matthias Bolten

Matthias Bolten

Bergische Universität Wuppertal

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