In-NoC Circuits for Low-Latency Cache Coherence in Distributed Shared-Memory Architectures. - Leonard Masing; Akshay Srivatsa; Fabian Kreß; Nidhi Anantharajaiah; Andreas Herkersdorf; Jürgen Becker 001 (MCSoC, 2018)

Transparent Near-Memory Computing with a Reconfigurable Processor. - Fabian Lesniak; Fabian Kreß; Jürgen Becker 001 (ARC, 2021)

FLECSim-SoC: A Flexible End-to-End Co-Design Simulation Framework for System on Chips. - Tim Hotfilter; Julian Höfer; Fabian Kreß; Fabian Kempf; Jürgen Becker 001 (SoCC, 2021)

Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs. - Tim Hotfilter; Fabian Kreß; Fabian Kempf; Jürgen Becker 001; Juan Miguel De Haro Ruiz; Daniel Jiménez-González; Miquel Moretó; Carlos Álvarez 001; Jesús Labarta; Imen Baili (DATE, 2022)

Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications. - Fabian Kreß; Julian Höfer; Tim Hotfilter; Iris Walter; Vladimir Sidorenko; Tanja Harbaum; Jürgen Becker 001 (DCOSS, 2022)

Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA. - Tim Hotfilter; Fabian Kreß; Fabian Kempf; Jürgen Becker 001; Imen Baili (ISVLSI, 2022)

Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen. - Fabian Kreß; Alexey Serdyuk; Tim Hotfilter; Julian Höfer; Tanja Harbaum; Jürgen Becker 001; Tim Hamann (MECO, 2022)

Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA. - Fabian Kreß; Julian Höfer; Tim Hotfilter; Iris Walter; El Mahdi El Annabi; Tanja Harbaum; Jürgen Becker 001 (PKDD/ECML Workshops (1), 2022)

Runtime Adaptive Cache Checkpointing for RISC Multi-Core Processors. - Fabian Kempf; Julian Höfer; Fabian Kreß; Tim Hotfilter; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2022)

A Hardware-Centric Approach to Increase and Prune Regular Activation Sparsity in CNNs. - Tim Hotfilter; Julian Höfer; Fabian Kreß; Fabian Kempf; Leonhard Kraft; Tanja Harbaum; Jürgen Becker 001 (AICAS, 2023)

ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications. - Fabian Kreß; Alexey Serdyuk; Micha Hiegle; Disnebio Waldmann; Tim Hotfilter; Julian Höfer; Tim Hamann; Jens Barth; Peter Kämpf; Tanja Harbaum; Jürgen Becker 001 (DSD, 2023)

SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and Accelerators. - Julian Höfer; Fabian Kempf; Tim Hotfilter; Fabian Kreß; Tanja Harbaum; Jürgen Becker 001 (ACM Great Lakes Symposium on VLSI, 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 001 (DroneSE/RAPIDO@HiPEAC, 2023)

A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object Detection. - Julian Höfer; Tim Hotfilter; Fabian Kreß; Chen Qiu; Tanja Harbaum; Jürgen Becker 001 (ICVS, 2023)

Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems. - Matthias Stammler; Vladimir Sidorenko; Fabian Kreß; Patrick Schmidt; Jürgen Becker 001 (MCSoC, 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 001 (NorCAS, 2023)

Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency. - Tim Hotfilter; Julian Höfer; Philipp Merz; Fabian Kreß; Fabian Kempf; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2023)

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. - Alexey Serdyuk; Fabian Kreß; Micha Hiegle; Tanja Harbaum; Jürgen Becker 001; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jens Barth; Peter Kämpf (WF-IoT, 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 001 (Comput. Networks, 2023)

KIHT: Kaligo-Based Intelligent Handwriting Teacher. - Tanja Harbaum; Alexey Serdyuk; Fabian Kreß; Tim Hamann; Jens Barth; Peter Kämpf; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jessica Delahaie (DATE, 2024)

BayWatch: Leveraging Bayesian Neural Networks for Hardware Fault Tolerance and Monitoring. - Julian Höfer; Matthias Stammler; Fabian Kreß; Tim Hotfilter; Tanja Harbaum; Jürgen Becker 001 (DFT, 2024)

VHDL Crash Course: A Multimedia-Based Teaching Approach. - Fabian Kreß; Vladimir Sidorenko; Iuliia Topko; Kai Lukas Unger; Tanja Harbaum; Jürgen Becker 001 (GeCon, 2024)

A Challenge-Based Blended Learning Approach for an Introductory Digital Circuits and Systems Course. - Julian Höfer; Michael Gauß; Manuela Adams; Fabian Kreß; Fabian Kempf; Christian Maximilian Karle; Tanja Harbaum; Andreas Barth 001; Jürgen Becker 001 (ISCAS, 2024)

Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems. - Fabian Kreß; El Mahdi El Annabi; Tim Hotfilter; Julian Höfer; Tanja Harbaum; Jürgen Becker 001 (ISVLSI, 2024)

Improving Online Handwriting Trajectory Reconstruction Based on Temporal Convolutional Networks. - Alexey Serdyuk; Fabian Kreß; Iuliia Topko; Tanja Harbaum; Jürgen Becker 001; Tim Hamann; Peter Kämpf (SDF, 2024)

LOTTA: An FPGA-based Low-Power Temporal Convolutional Network Hardware Accelerator. - Fabian Kreß; Alexey Serdyuk; Denis Kobsar; Tim Hotfilter; Julian Höfer; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization. - Konstantinos Balaskas; Heba Khdr; Mohammed Bakr Sikal; Fabian Kreß; Kostas Siozios; Jürgen Becker 001; Jörg Henkel (IEEE Embed. Syst. Lett., 2024)

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 001 (ISQED, 2025)