Simon Friedrich

According to our database, Simon Friedrich authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

On Interactions of Deep Neural Network Acceleration and Memory Subsystem.

Simon Friedrich

PhD thesis, 2025

ZuSE-KI-Mobil: AI Chip Design Platform for Automotive and Industrial Applications.

Shaown Mojumder, Simon Friedrich, Emil Matús, Matthias Lüders, Martin Friedrich, Oliver Renke, Holger Blume, Markus Kock, Gregor Schewior, Darius Grantz, Jens Benndorf, Julian Höfer, Patrick Schmidt, Jürgen Becker, Nael Fasfous, Pierpaolo Morì, Hans-Jörg Vögel, Samira Ahmadifarsani, Leonidas Kontopoulos, Ulf Schlichtmann, Yun-Jin Li, Gerhard P. Fettweis

IEEE Trans. Very Large Scale Integr. Syst., 2025

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

A 22 nm 10 TOPS Mixed-Precision Neural Network SoC for Image Processing with Energy-Efficient Dilated Convolution Support.

Simon Friedrich, Robert Wittig, Emil Matús, Darius Grantz, Martin Zeller, Jens Benndorf, Gerhard P. Fettweis

Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2024

2023

On-Chip Memory Access Reduction for Energy-Efficient Dilated Convolution Processing.

Simon Friedrich, Thomas Nalapat, Robert Wittig, Emil Matús, Gerhard P. Fettweis

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands.

Simon Friedrich, Shambhavi Balamuthu Sampath, Robert Wittig, Manoj Rohit Vemparala, Nael Fasfous, Emil Matús, Walter Stechele, Gerhard P. Fettweis

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Access Interval Prediction with Neural Networks for Tightly Coupled Memory Systems.

Simon Friedrich, Chia-Ying Lin, Viktor Razilov, Robert Wittig, Emil Matús, Gerhard P. Fettweis

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023