The chair of „Embedded Systems Architectures for Signalprocessing“ has been established as a joint appointment of the University of Potsdam and the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin / Germany. The research activities are focused on three main areas Image- and Videoprocessing, Hardware Architectures and HW/SW Co-Design Methodologies.
Chairholder is Prof. Dr.-Ing. Benno Stabernack.
Video of our FPGA based ML accelerator online
The demo video of our FPGA-based ML accelerator is online.
In our demonstration, we introduce a new architecture of directly network-coupled accelerators for distributed machine learning to achieve higher energy efficiency.
"Demonstration of a Distributed Accelerator Framework for Energy-efficient ML Processing"
August 30, 2021
IEEE OpenAccess Journal Paper published
Our paper entitled "A full-featured FPGA-based pipelined architecture for SIFT extraction" is as an OpenAcess Journal Paper available.
P. Kreowsky and B. Stabernack, "A full-featured FPGA-based pipelined architecture for SIFT extraction," in IEEE Access, doi: 10.1109/ACCESS.2021.3104387.
August 15, 2021
Article about our Bmbf research project Sysiko published
As part of our BMBF-funded research project Sysiko (https://www.elektronikforschung.de/projekte/sysiko) , we develop reliable methods for the detection of dangerous situations with cyclists in road traffic. In particular, we are dedicated to avoiding so-called right-turn accidents with trucks and buses.
A brief description was published in the current issue of the university magazine Portal Wissen.
Das Forschungsmagazin der Universität Potsdam
Ausgabe Zwei 2021
Licht im toten Winkel, Seite 56ff.
July 3, 2021
Demonstration of our FPGA-based ML-accelerator for the FPL2021 accepted
We will demontrate our FPGA-based ML accelerator on this years FPL (31th International Conference on Field Programmable Logic and Applications).
Fritjof Steinert, Justin Knapheide and Benno Stabernack:
Demonstration of a Distributed Accelerator Framework for Energy Efficient ML Processing
31th International Conference on Field Programmable Logic and Applications
Virtual conference 31 August - 3 September 2021
June 8 2021
The Institute for Computer Science moved over to our new building located on the university campus in Potsdam Golm.
The new address is:
An der Bahn 2
Our Offices are located in the first floor of the building.
April 1st, 2021
We will present our H.264/AVC Videoencoder with ROI Feature at the upcoming DASIP 2021 Workshop
Our paper entitled "Architecture of a Low Latency H.264/AVC Video Codec for robust ML based Image Classification" by Benno Stabernack and Fritjof Steinert has been accepted and will be presented with a corresponding lecture at the virtual workshop DASIP 2021 as part of the HiPEAC Conference.
18-20 January 2021, Budapest, Hungary.
DASIP 2021: Workshop on Design and Architectures for Signal and Image Processing in conjunction with the 16th HiPEAC Conference
Paper about our FPGA based RoCEv2 Remote DMA Protocol engine has been accepted for publication
Congratulations to Niklas Schelten and the co-authors of our paper entitled "A High-Throughput, Resource-Efficient Implementation of the RoCEv2 Remote DMA Protocol for Network-Attached Hardware Accelerators" at the FPT2020!
The paper has been accepted and will be presented with a corresponding lecture at the virtual conference.
Maui, Hawai, USA 7 to 11 December, 2020
International Conference on Field-Programmable Technology (FPT'20)
November 3 , 2020
Publication about our HW/SW Framework for FPGA enabled heterogenous Cloud Computing has been accepted
Congratulations to Fritjof Steinert and the co-authors of our paper entitled "A Hardware/Software Framework for the Integration of FPGA-based Accelerators into Cloud Computing Infrastructures" at the IEEE SmartCloud 2020!
The paper has been accepted and will be presented with a corresponding lecture at the virtual conference IEEE SmartCloud 2020.
November 6-8, Washington DC, USA
5th IEEE International Conference on Smart Cloud
September 22nd , 2020
We welcome our new group member Justin Knapheide at the chair of "Embedded Systems Architectures for Signal Processing".
He will work as a researcher in the field of advanced hardware architectures for machine learning .
July 15, 2020
DSD2020 Publication about our concept for the integration of network-attached hardware accelerators in data centers accepted
Congratulations to Fritjof Steinert and the co-authors of our paper entitled "Hardware and Software Components towards the Integration of Network-Attached Accelerators into Data Centers" at the DSD2020!
The paper has been accepted and will be presented with a corresponding lecture at the conference DSD2020.
August 26 – 28, 2020 Portorož | Slovenia
Euromicro Conference on Digital System Design
June 15, 2020
FPL2020 Paper on Hardware Architectures for FPGA based Neural Nets accepted
Our Paper entitled " A high throughput MobileNetV2 FPGA implementation based on a flexible architecture for depthwise separable convolution" authored by Justin Knapheide, Benno Stabernack and Maximilian Kuhnke, has been accepted for presentation on the
30th International Conference on Field Programmable Logic and Applications
held as virtual conference 31 August - 4 September 2020
May 20, 2020
Benno Stabernack member of ARCS 2020 program committee
Prof. Benno Stabernack, has been invited to join the program committee of the International Conference on Architecture of Computing Systems (ARCS 2020) to be held from May 25, 2020 through May 28, 2020 in Aachen, Germany.
November 15, 2019
Call for Paper for the upcoming International Conference on Architecture of Computing Systems
(ARCS 2020) has been published.
November 15, 2019
We welcome our new group member Michał Steć at the chair of "Embedded Systems Architectures for Signal Processing".
He will work in the field of machine learning and video signal processing.
November 15, 2019
New Research Project started
On 1st of August 2019 we started the BMBF funded project SySiKo on enhancing the traffic safety for bicycle drivers .
In the course of the project we will investigate and develop machine learning powered image recognition algorithms to detect critical situations in nowadays tight urban traffic. In cooperation with our partners a complete FPGA based system will be developed.
The goal is to drastically reduce the number of accidents of bicycle drivers with cars and especially with busses and trucks.
September 22th, 2019
DASIP 2019 Paper on processing of Time of Flight sensor data accepted
Our Paper entitled " Using Time-of-Flight Sensors for People Counting Applications" authored by Michał Steć, Viktor Herrmann and Benno Stabernack, has been accepted for presentation on the
The Conference on Design and Architectures for Signal and Image Processing DASIP 2019
16 - 18 October, 2019, Montréal, Canada
July 19th, 2019
Paper on sensor data fusion for people counting application accepted
Our Paper entitled " Multi-Sensor-Fusion System for People Counting
Applications" authored by Michał Steć, Viktor Herrmann and Benno Stabernack, has been accepted for presentation on the first international
Societal Automation Conference SA 2019
Technological & Architectural Frameworks
Krakow, 4-6 September 2019
July 12th, 2019
Benno Stabernack participate MPEG125 / ITU VCEG/JCT-VC/JVET Meeting Marrakesh , Morocco
As part of ITU VCEG/JCT-VC/JVET expert team Prof. Benno Stabernack has the great honor to participate the MPEG/ITU meeting in Marrakesh, Morocco from January 9-18 to work on the next upcoming video coding standard VVC.
January 9nd, 2019
Public Demonstration of HNAA Cloud Computing Accelerator
As part of the M3D final workshop, we were able to demonstrate our concept for accelerating compute-intensive workloads in the cloud.
The HNAA (Heterogeneous Network Attached Accelerator) named concept consists of the combination of GPGPUs, FPGAs and computing cores, which are available to the user via a OpenStack cloud infrastructure.
November 29nd, 2018
Call for Paper for the upcoming International Conference on Architecture of Computing Systems (ARCS 2019) has been published.
September 22nd, 2018
Benno Stabernack member of ARCS 2019 program committee
Prof. Benno Stabernack, has been invited to join the program committee of the International Conference on Architecture of Computing Systems (ARCS 2019) to be held from May 20, 2019 through May 23, 2019 in Copenhagen, Denmark.
September 22nd, 2018
We welcome our new group member Tim Jacquemot at the chair of "Embedded Systems Architectures for Signal Processing". He will work in the field of algorithmic complexity of video signal processing.
2nd May, 2018
Our former Group Member Jens Brandenburg completed his dissertation entitled „Generische Analysemethoden für den Systementwurf heterogener eingebetteter Mehrkernsysteme“ ("Generic Analysis Methods for the Design of Heterogeneous Embedded Multi-Core Systems") at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg with magna cum laude.
The examination board chaired by Prof. Dr.-Ing. Felix Freiling (FAU Erlangen-Nuremberg) consisted of the first expert Prof. Dr.-Dietmar Fey (FAU Erlangen-Nuremberg), the second expert Prof. Dr.-Ing. Benno Stabernack (University of Potsdam/Fraunhofer HHI) and the third examiner Prof. Dr.-Ing. André Kaup (FAU Erlangen-Nuremberg).
Jens Brandenburg took up his work at Fraunhofer HHI in 2006 as a research associate in the Embedded Systems research group. He is now active in the Image and Video Coding group.
20th March 2018
Project start research project "Next Generation Video Coding"
Dec. 1st 2017 the project "Next Generation Video Coding" started at the department.
With the increase in coding efficiency of the latest video coding methods, there is also a drastic increase in the complexity of the algorithms used and thus also in the required computational requirements.
The project is dedicated to the analysis, optimization and design of video coding techniques with a focus on cost-effective hardware implementations.
Within the next days, we will publish an official job offer for a research position in this project.
Dec. 1st, 2017