


default search action
Jürgen Becker 0001
Person information
- affiliation: Karlsruhe Institute of Technology, Germany
- affiliation (PhD 1997): Kaiserslautern University of Technology, Germany
Other persons with the same name
- Jürgen Becker 0002 — Fraunhofer ITWM, Kaiserslautern, Germany
- Jürgen Becker 0003 — University of Bonn, Germany
- Jürgen Becker 0004 — Quidel, Kornwestheim, Germany (and 1 more)
- Jürgen Becker 0005 — Leibniz Universität Hannover, Garbsen, Germany
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j79]Himanshu Thapliyal, Jürgen Becker, Garrett S. Rose, Tosiron Adegbija, Selçuk Köse:
Guest Editorial: Selected Papers From IEEE Computer Society Annual Symposium on VLSI (ISVLSI) 2024. IEEE Trans. Very Large Scale Integr. Syst. 33(9): 2354-2356 (2025)
[c476]Mehdi B. Tahoori, Vincent Meyers, Mahboobe Sadeghipour Roodsari, Huashuangyang Xu, Jürgen Becker, Tanja Harbaum, Felix Frombach, Julian Höfer, Georgios Sotiropoulos, Jörg Henkel, Zeynep Demirdag, Heba Khdr, Hassan Nassar, Ulf Schlichtmann, Johannes Geier, Philipp van Kempen, Georg Sigl, Stefan Koegler, Matthias Probst, Jürgen Teich, Frank Hannig, Muhammad Sabih, Batuhan Sesli, Norbert Wehn, Lukas Steiner, Wolfgang Kunz, Mohamed Shelkamy Ali:
Special Session - Hardware-Software Co-Design for Machine Learning Systems Made Open-Source. CODES+ISSS 2025: 23-32
[c475]Mehdi B. Tahoori, Jürgen Becker, Jörg Henkel, Wolfgang Kunz, Ulf Schlichtmann, Georg Sigl, Jürgen Teich, Norbert Wehn:
Multi-Partner Project: Open-Source Design Tools for Co-Development of AI Algorithms and AI Chips: (Initial Stage). DATE 2025: 1-6
[c474]Patrick Schmidt, Fabian Krey, Alexey Serdyuk, Matthias Stammler, Tanja Harbaum, Jürgen Becker:
DSEParted: Co-Optimization of Embedded NPU Architectures and Neural Network Partitioning. DSD 2025: 653-660
[c473]Marius Kreutzer
, Maximilian Kirschner, Jürgen Becker:
Towards a Service-Oriented Infrastructure for Distributed Systems with Heterogeneous AI Accelerators. SEAA 2025: 64-78
[c472]Julian Höfer
, Patrick Schmidt
, Hella Toto-Kiesa
, Sebastian Höfer
, Gregor Schewior
, Dietmar Engelke
, Karl-Heinz Eickel
, Darius Grantz
, Tanja Harbaum
, Jürgen Becker
:
A Pixel Histogram-Based Safety Mechanism and Fault Detection Methodology for a Robust Image Signal Processor. ACM Great Lakes Symposium on VLSI 2025: 704-711
[c471]Alexandru Vasilache
, Jona Scholz
, Yulia Sandamirskaya
, Jürgen Becker
:
Evolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks. ICANN (4) 2025: 66-77
[c470]Fabian Kreß, Julian Höfer
, Qiushi Lin, Patrick Schmidt
, Zhenhua Zhu, Yu Zhu, Tanja Harbaum, Yu Wang, Jürgen Becker:
Deep Neural Network Inference Partitioning in Embedded Hybrid Analog-Digital Systems. ISQED 2025: 1-8
[c469]Iuliia Topko
, Alexey Serdyuk, Tanja Harbaum, Jürgen Becker:
Hardware-Accelerated On-Device Learning: Training, Partitioning, and Compilation for Constrained Edge AI. ISVLSI 2025: 1-6
[c468]Laura Erb, Tommaso Boccato, Alexandru Vasilache, Jürgen Becker, Nicola Toschi:
Training Neural Networks by Optimizing Neuron Positions. Living Machines 2025: 269-280
[c467]Jann Krausse, Alexandru Vasilache, Klaus Knobloch, Jürgen Becker:
Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity. NICE 2025: 1-7
[c466]Marc Neu
, Isabel Haide, Timo Justinger, Till Rädler, Valdrin Dajaku, Torben Ferber, Jürgen Becker:
Real-Time Graph-based Point Cloud Networks on FPGAs via Stall-Free Deep Pipelining. SBCCI 2025: 1-5
[c465]Julian Höfer, Fabian Lesniak, Annina Gutermann, Felix Wöran, Tanja Harbaum, Jürgen Becker:
BayNNgine: Hardware-Enabled Bayesian Neural Network Support for Dependable AI Inference. SOCC 2025: 1-6
[c464]Christian Maximilian Karle, Johannes Pfau, Marc Neu, Kai Lukas Unger, Jürgen Becker, Andre Scheder, Tobias Kögel, Lukas Witte, Benjamin Nuss, Johann Christian Marten, Marwan Younis:
Programmable RFSoC-Based Antenna Emulator for MIMO System Prototyping. SOCC 2025: 1-6
[c463]Matthias Stammler, Fabian Lesniak, Niraj Kumar, Arvind Easwaran, Jürgen Becker:
HM2GP: A Multi-Version Task Scheduler with Extended Precedence Constraints on COTS SoCs. SOCC 2025: 1-6
[c462]Marius Kreutzer
, Austin Shinkle, Victor Pazmino Betancourt, Jürgen Becker:
Isolated Third-Party Applications in Existing SOME/IP-Networks. SysCon 2025: 1-6
[i20]Alexandru Vasilache, Jona Scholz, Vincent Schilling, Sven Nitzsche, Florian Kälber, Johannes Korsch, Jürgen Becker:
A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications. CoRR abs/2504.11026 (2025)
[i19]Jann Krausse, Alexandru Vasilache, Klaus Knobloch, Jürgen Becker:
Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity. CoRR abs/2506.13400 (2025)
[i18]Laura Erb, Tommaso Boccato, Alexandru Vasilache, Jürgen Becker, Nicola Toschi:
Training Neural Networks by Optimizing Neuron Positions. CoRR abs/2506.13410 (2025)
[i17]Alexandru Vasilache, Sven Nitzsche, Christian Kneidl, Mikael Tekneyan, Moritz Neher, Jürgen Becker:
Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance. CoRR abs/2506.13416 (2025)
[i16]Maximilian Kirschner, Konstantin Dudzik, Ben Krusekamp, Jürgen Becker:
MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference. CoRR abs/2511.05321 (2025)
[i15]Florian Tretter, Daniel Flögel, Alexandru Vasilache, Max Grobbel, Jürgen Becker, Sören Hohmann:
SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks. CoRR abs/2512.07266 (2025)- 2024
[j78]Marc Neu
, Jürgen Becker, Philipp Dorwarth, Torben Ferber, Lea Reuter
, Slavomira Stefkova, Kai Lukas Unger
:
Real-Time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics. Comput. Softw. Big Sci. 8(1): 8 (2024)
[j77]Jürgen Becker
, Marilyn Wolf
:
Lynn Conway: Two Remembrances. IEEE Des. Test 41(6): 97-100 (2024)
[j76]Konstantinos Balaskas
, Heba Khdr
, Mohammed Bakr Sikal
, Fabian Kreß
, Kostas Siozios
, Jürgen Becker
, Jörg Henkel
:
Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization. IEEE Embed. Syst. Lett. 16(4): 317-320 (2024)
[j75]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo
, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024)
[j74]Lars Bauer
, Hassan Nassar
, Nadir Khan
, Jürgen Becker
, Jörg Henkel
:
Machine-Learning-Based Side-Channel Attack Detection for FPGA SoCs. IEEE Trans. Circuits Syst. Artif. Intell. 1(2): 178-190 (2024)
[j73]André Bannwart Perina, Jürgen Becker, Vanderlei Bonato:
Memory Aware Design Optimisation for High-Level Synthesis. J. Signal Process. Syst. 96(11): 651-671 (2024)
[c461]Annina Gutermann, Jürgen Becker:
A Full-System Approach to Multi-Valued Logic Design: (PhD Forum Paper). ASAP 2024: 226-227
[c460]Alexandru Vasilache
, Jann Krausse, Klaus Knobloch, Jürgen Becker:
Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces. BioCAS 2024: 1-5
[c459]Hosam Alagi
, Nikola Fischer, Kai Behrends, Iris Fürst-Walter, Jürgen Becker, Michael Beigl
, Franziska Mathis-Ullrich, Björn Hein:
Enhancing Force Sensing Capabilities in Exoskeleton Interfaces Using Compliant Actuator-Sensor Units - A User Study. BioRob 2024: 889-894
[c458]Tobias Dörr, Florian Schade, Jürgen Becker, Georgios Keramidas, Nikos Petrellis, Vasilios I. Kelefouras, Michail Mavropoulos, Konstantinos Antonopoulos, Christos P. Antonopoulos, Nikolaos S. Voros, Alexander Ahlbrecht, Wanja Zaeske, Vincent Janson, Phillip Nöldeke, Umut Durak, Christos Panagiotou, Dimitris Karadimas, Nico Adler, Clemens Reichmann, Andreas Sailer, Raphael Weber, Thomas Wilhelm, Wolfgang Gabler, Katrin Weiden, Xavier Anzuela Recasens, Sakir Sezer, Fahad Siddiqui, Rafiullah Khan, Kieran McLaughlin, Sena Yengec Tasdemir, Balmukund Sonigara, Henry Hui, Esther Soriano Viguer, Aridane Álvarez Suárez, Vicente Nicolau Gallego, Manuel Muñoz Alcobendas, Miguel Masmano Tello:
XANDAR: An X-by-Construction Framework for Safety, Security, and Real-Time Behavior of Embedded Software Systems. DATE 2024: 1-6
[c457]Patrick Schmidt
, Iuliia Topko
, Matthias Stammler, Tanja Harbaum, Jürgen Becker, Rico Berner, Omar Ahmed, Jakub Jagielski, Thomas Seidler, Markus Abel, Marius Kreutzer, Maximilian Kirschner, Victor Pazmino Betancourt, Robin Sehm, Lukas Groth, Andrija Neskovic, Rolf Meyer, Saleh Mulhem, Mladen Berekovic, Matthias Probst, Manuel Brosch, Georg Sigl, Thomas Wild, Matthias Ernst, Andreas Herkersdorf, Florian Aigner, Stefan Hommes, Sebastian Lauer, Maximilian Seidler, Thomas Raste, Gasper Skvarc Bozic, Ibai Irigoyen Ceberio, Muhammad Hassan, Albrecht Mayer:
EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge. DATE 2024: 1-6
[c456]Matthias Stammler, Julian Lorenz, Eric Sax, Jürgen Becker, Matthias Hamann, Patrick Bidinger, Andreas Dewald, Paraskevi Georgouti, Alexios Camarinopoulos, Günter Becker, Klaus Finsterbusch, Maximilian Kirschner, Laurenz Adolph, Carl Philipp Hohl, Maria Rill, Daniel Vonderau, Victor Pazmino Betancourt:
UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents. DATE 2024: 1-6
[c455]Julian Höfer
, Matthias Stammler, Fabian Kreß, Tim Hotfilter, Tanja Harbaum, Jürgen Becker:
BayWatch: Leveraging Bayesian Neural Networks for Hardware Fault Tolerance and Monitoring. DFT 2024: 1-6
[c454]Matthias Stammler, Florian Schade, Jürgen Becker:
Automated Polyhedron-based TDMA Schedule Design for Predictable Mixed-Criticality MPSoCs. DSD 2024: 403-409
[c453]Patrick Schmidt
, Jürgen Becker:
Ph.D. Project: Compiler-Driven Hardware/Software Co- Design for Embedded AI. FCCM 2024: 241-242
[c452]Fabian Kreß, Vladimir Sidorenko, Iuliia Topko
, Kai Lukas Unger, Tanja Harbaum, Jürgen Becker:
VHDL Crash Course: A Multimedia-Based Teaching Approach. GeCon 2024: 1-6
[c451]Fabian Lesniak
, Annina Gutermann
, Tanja Harbaum
, Jürgen Becker
:
Enhanced Accelerator Design for Efficient CNN Processing with Improved Row-Stationary Dataflow. ACM Great Lakes Symposium on VLSI 2024: 151-157
[c450]Oliver Oey, Michael Hübner, Timo Stripf, Jürgen Becker:
Embedded Multi-Core Code Generation with Cross-Layer Parallelization. PARMA-DITAM 2024: 5:1-5:13
[c449]Marius Kreutzer
, Maximilian Seidler
, Konstantin Dudzik, Victor Pazmino Betancourt, Jürgen Becker:
Migration of Isolated Application Across Heterogeneous Edge Systems. ICFEC 2024: 64-70
[c448]Jann Krausse, Sven Nitzsche, Brian Pachideh, Carmen Weigelt, Klaus Knobloch, Jürgen Becker:
Exploring Neuronal Leakage for Spiking Neural Networks on Event-Driven Hardware. ICONS 2024: 140-147
[c447]Jürgen Becker, Zhenman Fang, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan:
31st Reconfigurable Architectures Workshop (RAW 2024). IPDPS (Workshops) 2024: 79
[c446]Julian Höfer
, Michael Gauß, Manuela Adams, Fabian Kreß, Fabian Kempf, Christian Maximilian Karle, Tanja Harbaum, Andreas Barth, Jürgen Becker:
A Challenge-Based Blended Learning Approach for an Introductory Digital Circuits and Systems Course. ISCAS 2024: 1-5
[c445]Fabian Kreß, El Mahdi El Annabi, Tim Hotfilter, Julian Höfer
, Tanja Harbaum, Jürgen Becker:
Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems. ISVLSI 2024: 39-44
[c444]Matthias Stammler, Julian Höfer
, Patrick Schmidt
, Tanja Harbaum, Jürgen Becker:
ICE TEA: Insertion of Custom Early Exits for Time-, Energy- & Anomaly-Aware Neural Networks. ISVLSI 2024: 656-660
[c443]Himanshu Thapliyal, Jürgen Becker:
Message from the General Chairs; ISVLSI 2024. ISVLSI 2024: xxvi-xxvii
[c442]Shaown Mojumder, Simon Friedrich, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Martin Friedrich
, Oliver Renke, Holger Blume, Julian Höfer
, Patrick Schmidt
, Jürgen Becker, Darius Grantz, Markus Kock, Jens Benndorf, Nael Fasfous, Pierpaolo Morì, Hans-Jörg Vögel, Samira Ahmadifarsani, Leonidas Kontopoulos, Ulf Schlichtmann, Kay Bierzynski:
ZuSE-KI-Mobil AI Chip Design Platform: An Overview. NorCAS 2024: 1-7
[c441]Iuliia Topko
, Tanja Harbaum, Jürgen Becker:
Towards a General Compilation Approach for On-device Training in Embedded Systems. NorCAS 2024: 1-7
[c440]Konstantin Dudzik, Maximilian Kirschner, Victor Pazmino Betancourt, Jürgen Becker:
Work in Progress: Predictable Execution of Isolated Real-Time Tasks on Multicore Systems Using the LET Paradigm. RTAS 2024: 386-389
[c439]Maximilian Kirschner, Konstantin Dudzik, Jürgen Becker:
Work-in-Progress: Real-Time Neural Network Inference on a Custom RISC-V Multicore Vector Processor. RTSS 2024: 427-430
[c438]Alexey Serdyuk, Fabian Kreß, Iuliia Topko
, Tanja Harbaum, Jürgen Becker, Tim Hamann, Peter Kämpf:
Improving Online Handwriting Trajectory Reconstruction Based on Temporal Convolutional Networks. SDF 2024: 1-8
[c437]Christian Maximilian Karle, Marc Neu
, Benjamin Nuss, Jiayi Chen, Lukas Witte, Andre Scheder, Tanja Harbaum, Jürgen Becker:
Modular Hardware Design for High-Performance MIMO-Capable SDR Systems to Accelerate 6G Development. SOCC 2024: 1-6
[c436]Christian Maximilian Karle, Marc Neu
, Benjamin Nuss, Lukas Witte, Andre Scheder, Eva Waldner, Ema Shkurtaj, Tanja Harbaum, Jürgen Becker:
Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server Systems for 6G. SOCC 2024: 1-6
[c435]Jann Krausse, Moritz Neher
, Iris Fürst-Walter, Carmen Weigelt, Tanja Harbaum, Klaus Knobloch, Jürgen Becker:
On Metric-Driven Development of Embedded Neuromorphic AI. SOCC 2024: 1-6
[c434]Marc Neu
, Christian Maximilian Karle, Patrick Schmidt
, Julian Höfer
, Tanja Harbaum, Jürgen Becker:
A Dynamically Pipelined Dataflow Architecture for Graph Convolutions in Real-Time Event Interpretation. SOCC 2024: 1-6
[c433]Patrick Schmidt
, Johannes Pfau, Tim Hotfilter, Matthias Stammler, Tanja Harbaum, Jürgen Becker:
RVVe: A Minimal RISC-V Vector Processor for Embedded AI Acceleration. SOCC 2024: 1-6
[c432]Fabian Kreß, Alexey Serdyuk, Denis Kobsar, Tim Hotfilter, Julian Höfer
, Tanja Harbaum, Jürgen Becker:
LOTTA: An FPGA-based Low-Power Temporal Convolutional Network Hardware Accelerator. SOCC 2024: 126-131
[i14]Fabian Kreß, El Mahdi El Annabi, Tim Hotfilter, Julian Höfer, Tanja Harbaum, Jürgen Becker:
Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems. CoRR abs/2406.19913 (2024)
[i13]Alexandru Vasilache, Sven Nitzsche, Daniel Flögel, Tobias Schürmann, Stefan von Dosky, Thomas Bierweiler, Marvin Mußler, Florian Kälber, Sören Hohmann, Jürgen Becker:
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey. CoRR abs/2408.00516 (2024)
[i12]Alexandru Vasilache, Jann Krausse, Klaus Knobloch, Jürgen Becker:
Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces. CoRR abs/2409.04428 (2024)
[i11]Maximilian Kirschner, Konstantin Dudzik, Jürgen Becker:
Work-in-Progress: Real-Time Neural Network Inference on a Custom RISC-V Multicore Vector Processor. CoRR abs/2410.10340 (2024)- 2023
[j72]Fabian Kreß
, Vladimir Sidorenko, Patrick Schmidt
, Julian Höfer
, Tim Hotfilter
, Iris Walter
, Tanja Harbaum
, Jürgen Becker:
CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems. Comput. Networks 229: 109759 (2023)
[c431]Tim Hotfilter
, Julian Höfer
, Fabian Kreß, Fabian Kempf, Leonhard Kraft, Tanja Harbaum
, Jürgen Becker:
A Hardware-Centric Approach to Increase and Prune Regular Activation Sparsity in CNNs. AICAS 2023: 1-5
[c430]Kai Lukas Unger
, Jürgen Becker
, Christian Kiesling
, Yichuan Ma, Felix Meggendorfer, Marc Neu
, Elia Schmidt, Ulrike Zweigart:
A Convolution Neural Network Based Displaced Vertex Trigger for the Belle II Experiment. ARC 2023: 173-184
[c429]Maximilian Kirschner, Federico Nicolás Peccia
, Felix Thömmes, Victor Pazmino Betancourt, Oliver Bringmann, Jürgen Becker:
Characterization of Execution Time Variability in FPGA-Based AI-Accelerators. DASC/PiCom/CBDCom/CyberSciTech 2023: 1-8
[c428]Fabian Kempf, Julian Höfer
, Tanja Harbaum
, Jürgen Becker, Nael Fasfous, Alexander Frickenstein, Hans-Jörg Vögel, Simon Friedrich, Robert Wittig, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Holger Blume, Jens Benndorf, Darius Grantz, Martin Zeller, Dietmar Engelke, Karl-Heinz Eickel:
The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. DATE 2023: 1-6
[c427]Marc Neu
, Christian Maximilian Karle, Benjamin Nuss
, Patrick Gröschel, Jürgen Becker:
A Scalable and Cost-Efficient Antenna Testbed Using FPGA-Server Compound Structures for Prototyping 6G Applications. DCOSS-IoT 2023: 171-178
[c426]Florian Schade, Tobias Dörr
, Alexander Ahlbrecht, Vincent Janson, Umut Durak, Jürgen Becker:
Automatic Deployment of Embedded Real-Time Software Systems to Hypervisor-Managed Platforms. DSD 2023: 436-443
[c425]Matthias Stammler, Matthias Hamann, Tanja Harbaum, Jürgen Becker:
Mitigating Masking in Automotive Communication Systems: Modeling and Hardware Generation. DSD 2023: 561-568
[c424]Fabian Kreß
, Alexey Serdyuk, Micha Hiegle, Disnebio Waldmann, Tim Hotfilter
, Julian Höfer
, Tim Hamann
, Jens Barth, Peter Kämpf, Tanja Harbaum, Jürgen Becker:
ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications. DSD 2023: 569-576
[c423]Marius Kreutzer
, Maximilian Seidler
, Victor Pazmino Betancourt
, Jürgen Becker
:
Work-in-Progress: Integrating WebAssembly into Service-Oriented Architectures for Edge Systems. EMSOFT 2023: 17-18
[c422]Anqi Chu, Chris Manuel Hermann, Johannes Silz, Johannes Pfau
, Kevin Muñoz Barón, Nidhi Anantharajaiah, Patrick Schmidt
, Tim Hotfilter
, Xiang Xie, Jürgen Becker, Ingmar Kallfass, Jörg Roth-Stielow, Wilhelm Stork:
LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics. EUROCON 2023: 665-670
[c421]Christian Maximilian Karle, Marc Neu
, Johannes Pfau
, Jan Sperling, Jürgen Becker:
ReLoDAQ: Resource-Efficient, Low-Overhead 200 Gbits-1 Data Acquisition System for 6G Prototyping. FCCM 2023: 209
[c420]Julian Höfer
, Fabian Kempf, Tim Hotfilter
, Fabian Kreß, Tanja Harbaum
, Jürgen Becker
:
SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and Accelerators. ACM Great Lakes Symposium on VLSI 2023: 287-292
[c419]Fabian Lesniak
, Nidhi Anantharajaiah
, Tanja Harbaum
, Jürgen Becker
:
Non-Intrusive Runtime Monitoring for Manycore Prototypes. DroneSE/RAPIDO@HiPEAC 2023: 31-38
[c418]Tim Hotfilter
, Patrick Schmidt
, Julian Höfer
, Fabian Kreß
, Tanja Harbaum
, Jürgen Becker
:
An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload. DroneSE/RAPIDO@HiPEAC 2023: 73-78
[c417]Julian Höfer
, Tim Hotfilter
, Fabian Kreß
, Chen Qiu, Tanja Harbaum
, Jürgen Becker
:
A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object Detection. ICVS 2023: 299-309
[c416]Matthias Stammler
, Julian Höfer
, David Kraus
, Patrick Schmidt
, Tim Hotfilter
, Tanja Harbaum, Jürgen Becker:
EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection. INNS DLIA@IJCNN 2023: 499-508
[c415]Victor Pazmino Betancourt, Maximilian Kirschner, Marius Kreutzer
, Jürgen Becker:
Policy Model for Task Reallocation at Runtime in Edge Computing Infrastructures. IoTaIS 2023: 45-51
[c414]Iris Fürst-Walter
, Antonio Nappi, Tanja Harbaum, Jürgen Becker:
Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-Sensing. IROS 2023: 10888-10893
[c413]Victor Pazmino Betancourt, Maximilian Kirschner, Marius Kreutzer
, Jürgen Becker:
Policy-Based Task Allocation at Runtime for a Self-Adaptive Edge Computing Infrastructure. ISADS 2023: 1-8
[c412]Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia
, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner:
Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 2023: 1-7
[c411]Johannes Pfau
, Richard Leys
, Marc Neu
, Alexey Serdyuk, Ivan Peric, Jürgen Becker:
A Unified SoC Lab Course: Combined Teaching of Mixed Signal Aspects, System Integration, Software Development and Documentation. ISCAS 2023: 1-5
[c410]Nidhi Anantharajaiah, Yunhe Xu, Fabian Lesniak, Tanja Harbaum
, Jürgen Becker:
DREAM: Distributed Reinforcement Learning Enabled Adaptive Mixed-Critical NoC. ISVLSI 2023: 1-6
[c409]Nidhi Anantharajaiah, Fabian Lesniak, Tanja Harbaum, Jürgen Becker:
Reinforcement Learning Enabled Multi-Layered NoC for Mixed Criticality Systems. MCSoC 2023: 38-44
[c408]Matthias Stammler
, Vladimir Sidorenko, Fabian Kreß
, Patrick Schmidt
, Jürgen Becker:
Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems. MCSoC 2023: 97-104
[c407]Fabian Kempf, Julian Höfer
, Tim Hotfilter
, Jürgen Becker:
A Low-Stall Methodology for an Interleaved Processor State Replication. MCSoC 2023: 276-283
[c406]Fabian Lesniak
, Tanja Harbaum, Jürgen Becker:
Low-latency inter-domain communication on the Xen hypervisor. MCSoC 2023: 340-346
[c405]Jürgen Becker:
Embedded reliable HPC Integration enabling smart Automotive & IoT Systems. MECO 2023: 1
[c404]Fabian Kempf, Jürgen Becker:
Leveraging Adaptive Redundancy in Multi-Core Processors for Realizing Adaptive Fault Tolerance in Mixed-Criticality Systems. MECO 2023: 1-5
[c403]Matthias Stammler
, Matthias Hamann, Jürgen Becker:
Multilevel Security Model for Secure Information Flow Inside Software Components Employing Automated Code Generation. MECO 2023: 1-6
[c402]Fabian Kreß, Johannes Pfau
, Fabian Kempf, Patrick Schmidt
, Zhuofan He, Tanja Harbaum, Jürgen Becker:
Automated Replacement of State-Holding Flip-Flops to Enable Non-Volatile Checkpointing. NorCAS 2023: 1-7
[c401]Johannes Pfau
, Jiro Hernandez, Maximilian Reuter
, Klaus Hofmann, Jürgen Becker:
Co-Simulating Region-Based Dynamic Voltage Scaling for FPGA Architecture Design. NorCAS 2023: 1-7
[c400]Tobias Dörr
, Florian Schade, Jürgen Becker:
Pattern-Based Information Flow Control for Safety-Critical On-Chip Systems. SAFECOMP 2023: 181-195
[c399]Daniel Hofman, Mario Brcic, Mihael Kovac, Tim Hotfilter
, Jürgen Becker, Dominik Reinhardt, Sorin Mihai Grigorescu, R. Stevens, T. T. Vo:
European Processor Initiative Demonstration of Integrated Semi-Autonomous Driving System. SOCC 2023: 1-6
[c398]Tim Hotfilter
, Julian Höfer
, Philipp Merz, Fabian Kreß, Fabian Kempf, Tanja Harbaum
, Jürgen Becker:
Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency. SOCC 2023: 1-6
[c397]Fabian Lesniak
, Tanja Harbaum
, Jürgen Becker:
Approximate Accelerators: A Case Study using Runtime Reconfigurable Processors. SOCC 2023: 1-6
[c396]Brian Pachideh, Christian Zielke, Sven Nitzsche, Jürgen Becker:
Towards Hardware-Software Self-Adaptive Acceleration of Spiking Neural Networks on Reconfigurable Digital Hardware. SOCC 2023: 1-6
[c395]Alexey Serdyuk, Fabian Kreß, Micha Hiegle, Tanja Harbaum, Jürgen Becker, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jens Barth, Peter Kämpf:
Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. WF-IoT 2023: 1-6
[e20]Jürgen Becker, Andrew Marshall, Tanja Harbaum, Amlan Ganguly, Fahad Siddiqui, Kieran McLaughlin:
36th IEEE International System-on-Chip Conference, SOCC 2023, Santa Clara, CA, USA, September 5-8, 2023. IEEE 2023, ISBN 979-8-3503-0011-6 [contents]
[i10]Iris Fürst-Walter, Antonio Nappi, Tanja Harbaum, Jürgen Becker:
Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-Sensing. CoRR abs/2308.02397 (2023)- 2022
[j71]Houssem Guissouma
, Carl Philipp Hohl, Fabian Lesniak
, Marc Schindewolf
, Jürgen Becker
, Eric Sax:
Lifecycle Management of Automotive Safety-Critical Over the Air Updates: A Systems Approach. IEEE Access 10: 57696-57717 (2022)
[j70]Allison McCarn Deiana, Nhan Tran
, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte
, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer
, Jennifer Ngadiuba, Seda Ogrenci Memik
, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche
, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan
, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo
, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger
, Ricardo Vilalta, Belinavon Krosigk
, Shen Wang, Thomas K. Warburton:
Applications and Techniques for Fast Machine Learning in Science. Frontiers Big Data 5: 787421 (2022)
[j69]Jessé Barreto de Barros, Nidhi Anantharajaiah, Mauricio Ayala-Rincón
, Carlos Humberto Llanos Quintero
, Jürgen Becker:
The impact of formulation of cost function in Task Mapping Problem on NoCs using bio-inspired based-metaheuristics. Microprocess. Microsystems 94: 104668 (2022)
[j68]Johannes Pfau
, Peter Wagih Zaki
, Jürgen Becker
:
V-FPGAs: Increasing Performance with Manual Placement, Timing Extraction and Extended Timing Modeling. J. Signal Process. Syst. 94(9): 865-882 (2022)
[c394]Leonard Masing, Tobias Dörr
, Florian Schade, Jürgen Becker, Georgios Keramidas, Christos P. Antonopoulos, Michail Mavropoulos, Efstratios Tiganourias, Vasilios I. Kelefouras, Konstantinos Antonopoulos, Nikolaos S. Voros
, Umut Durak
, Alexander Ahlbrecht
, Wanja Zaeske, Christos Panagiotou, Dimitris Karadimas
, Nico Adler, Andreas Sailer, Raphael Weber, Thomas Wilhelm, Géza Németh, Fahad Siddiqui
, Rafiullah Khan, Vahid Garousi
, Sakir Sezer, Victor Morales:
XANDAR: Exploiting the X-by-Construction Paradigm in Model-based Development of Safety-critical Systems. DATE 2022: 1-5
[c393]Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda
, Driton Salihu, Julian Höfer
, Anmol Singh, Naveen Shankar Nagaraja, Hans-Jörg Vögel, Nguyen Anh Vu Doan, Maurizio Martina, Jürgen Becker, Walter Stechele:
AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms. DATE 2022: 238-243
[c392]Tim Hotfilter, Fabian Kreß, Fabian Kempf, Jürgen Becker, Juan Miguel De Haro Ruiz
, Daniel Jiménez-González, Miquel Moretó, Carlos Álvarez
, Jesús Labarta, Imen Baili:
Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs. DATE 2022: 628-631
[c391]Fabian Kreß
, Julian Höfer
, Tim Hotfilter
, Iris Walter
, Vladimir Sidorenko, Tanja Harbaum
, Jürgen Becker:
Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications. DCOSS 2022: 133-140
[c390]Nidhi Anantharajaiah, Jürgen Becker:
Adaptive Exploration Based Routing for Spatial Isolation in Mixed Criticality Systems. DSD 2022: 174-180
[c389]Timo Sandmann, Jürgen Becker:
Hardware Support for Predictable Resource Sharing in Virtualized Heterogeneous Multicores. DSD 2022: 189-196
[c388]Fabian Kempf, Christoph Kühbacher, Christian Mellwig, Sebastian Altmeyer, Theo Ungerer, Jürgen Becker:
A holistic hardware-software approach for fault-aware embedded systems. DSD 2022: 704-711
[c387]Tobias Dörr
, Florian Schade, Alexander Ahlbrecht
, Wanja Zaeske, Leonard Masing, Umut Durak
, Jürgen Becker:
A Behavior Specification and Simulation Methodology for Embedded Real-Time Software. DS-RT 2022: 151-159
[c386]Christian Maximilian Karle, Marius Kreutzer
, Johannes Pfau
, Jürgen Becker:
A hardware/software co-design approach to prototype 6G mobile applications inside the GNU Radio SDR Ecosystem using FPGA hardware accelerators. HEART 2022: 33-41
[c385]Valentin Kiechle, Matthias Börsig
, Sven Nitzsche, Ingmar Baumgart
, Jürgen Becker:
PREUNN: Protocol Reverse Engineering using Neural Networks. ICISSP 2022: 345-356
[c384]Jürgen Becker, Lana Josipovic, Viktor K. Prasanna, Marco D. Santambrogio, Ramachandran Vaidyanathan:
29th Reconfigurable Architectures Workshop (RAW 2022). IPDPS Workshops 2022: 65-66
[c383]Tobias Dörr
, Florian Schade, Leonard Masing, Jürgen Becker, Georgios Keramidas, Christos P. Antonopoulos, Michail Mavropoulos, Vasilios I. Kelefouras, Nikolaos S. Voros
:
Safety by Construction: Pattern-Based Application of Safety Mechanisms in XANDAR. ISVLSI 2022: 369-370
[c382]Tim Hotfilter
, Fabian Kreß, Fabian Kempf, Jürgen Becker, Imen Baili:
Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA. ISVLSI 2022: 371-372
[c381]Fabian Kreß
, Alexey Serdyuk, Tim Hotfilter
, Julian Höfer
, Tanja Harbaum
, Jürgen Becker, Tim Hamann
:
Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen. MECO 2022: 1-4
[c380]Fabian Kreß
, Julian Höfer
, Tim Hotfilter
, Iris Walter
, El Mahdi El Annabi, Tanja Harbaum
, Jürgen Becker:
Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA. PKDD/ECML Workshops (1) 2022: 557-568
[c379]Florian Schade, Timo Sandmann, Jürgen Becker, Henrik Theiling:
Using Trace Data for Run-Time Optimization of Parallel Execution in Real-Time Multi-Core Systems. RTCSA 2022: 228-234
[c378]


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID