Patrick Schmidt

According to our database, Patrick Schmidt authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep Neural Network Inference Partitioning in Embedded Hybrid Analog-Digital Systems.

Fabian Kreß, Julian Höfer, Qiushi Lin, Patrick Schmidt, Zhenhua Zhu, Yu Zhu, Tanja Harbaum, Yu Wang, Jürgen Becker

Proceedings of the 26th International Symposium on Quality Electronic Design, 2025

A Pixel Histogram-Based Safety Mechanism and Fault Detection Methodology for a Robust Image Signal Processor.

Julian Höfer, Patrick Schmidt, Hella Toto-Kiesa, Sebastian Höfer, Gregor Schewior, Dietmar Engelke, Karl-Heinz Eickel, Darius Grantz, Tanja Harbaum, Jürgen Becker

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024

RVVe: A Minimal RISC-V Vector Processor for Embedded AI Acceleration.

Patrick Schmidt, Johannes Pfau, Tim Hotfilter, Matthias Stammler, Tanja Harbaum, Jürgen Becker

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

A Dynamically Pipelined Dataflow Architecture for Graph Convolutions in Real-Time Event Interpretation.

Marc Neu, Christian Maximilian Karle, Patrick Schmidt, Julian Höfer, Tanja Harbaum, Jürgen Becker

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

ZuSE-KI-Mobil AI Chip Design Platform: An Overview.

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

Proceedings of the 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), 2024

ICE TEA: Insertion of Custom Early Exits for Time-, Energy- & Anomaly-Aware Neural Networks.

Matthias Stammler, Julian Höfer, Patrick Schmidt, Tanja Harbaum, Jürgen Becker

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Ph.D. Project: Compiler-Driven Hardware/Software Co- Design for Embedded AI.

Patrick Schmidt, Jürgen Becker

Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems.

Fabian Kreß, Vladimir Sidorenko, Patrick Schmidt, Julian Höfer, Tim Hotfilter, Iris Walter, Tanja Harbaum, Jürgen Becker

Comput. Networks, June, 2023

Automated Replacement of State-Holding Flip-Flops to Enable Non-Volatile Checkpointing.

Fabian Kreß, Johannes Pfau, Fabian Kempf, Patrick Schmidt, Zhuofan He, Tanja Harbaum, Jürgen Becker

Proceedings of the IEEE Nordic Circuits and Systems Conference, 2023

Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems.

Matthias Stammler, Vladimir Sidorenko, Fabian Kreß, Patrick Schmidt, Jürgen Becker

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection.

Matthias Stammler, Julian Höfer, David Kraus, Patrick Schmidt, Tim Hotfilter, Tanja Harbaum, Jürgen Becker

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload.

Tim Hotfilter, Patrick Schmidt, Julian Höfer, Fabian Kreß, Tanja Harbaum, Jürgen Becker

Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, 2023

LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics.

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

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023