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Author

Fabian Kreß

Observed names: Fabian KreB, Fabian Kres, Fabian Kress, Fabian Krey, Kress, Fabian, Kreß, Fabian
ORCID: 0000-0002-1700-5778
Observed ORCID: 0000-0002-1700-5778
OpenAlex ID: A5040618617
SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and Accelerators
2023 · Julian Hoefer, Fabian Kempf, et al. · ACM Great Lakes Symposium on VLSI (GLSVLSI) · 17
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CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems
2023 · Fabian Kreß, Vladimir Sidorenko, et al. · Computer Networks · 15
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Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen
2022 · Fabian KreB, Alexey Serdyuk, et al. · Mediterranean Conference on Embedded Computing (MECO) · 10
FLECSim-SoC: A Flexible End-to-End Co-Design Simulation Framework for System on Chips
2021 · Tim Hotfilter, Julian Hoefer, et al. · IEEE International System-on-Chip Conference (SOCC) · 10
Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs
2022 · Tim Hotfilter, Fabian Kress, et al. · Design, Automation, and Test in Europe · 8
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KIHT: Kaligo-Based Intelligent Handwriting Teacher
2024 · Tanja Harbaum, Alexey Serdyuk, et al. · Design, Automation, and Test in Europe · 7
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Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications
2022 · Fabian Kres, Julian Hoefer, et al. · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) · 7
Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems
2024 · Fabian Kreß, El Mahdi El Annabi, et al. · IEEE Computer Society Annual Symposium on VLSI · 6
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Runtime Adaptive Cache Checkpointing for RISC Multi-Core Processors
2022 · Fabian Kempf, Julian Hoefer, et al. · IEEE International System-on-Chip Conference (SOCC) · 6
Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization
2024 · Konstantinos Balaskas, Heba Khdr, et al. · IEEE Embedded Systems Letters · 5
ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications
2023 · Fabian Kreß, Alexey Serdyuk, et al. · Euromicro Conference on Digital System Design (DSD) · 5
An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload
2023 · Tim Hotfilter, Patrick Schmidt, et al. · 5
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In-NoC Circuits for Low-Latency Cache Coherence in Distributed Shared-Memory Architectures
2018 · Leonard Masing, Akshay Srivatsa, et al. · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) · 5
BayWatch: Leveraging Bayesian Neural Networks for Hardware Fault Tolerance and Monitoring
2024 · Julian Hoefer, Matthias Stammler, et al. · Proceedings · 4
A Challenge-Based Blended Learning Approach for an Introductory Digital Circuits and Systems Course
2024 · Julian Hoefer, Michael Gauß, et al. · IEEE International Symposium on Circuits and Systems proceedings · 4
Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency
2023 · Tim Hotfilter, Julian Hoefer, et al. · IEEE International System-on-Chip Conference (SOCC) · 4
Transparent Near-Memory Computing with a Reconfigurable Processor
2021 · Fabian Lesniak, Fabian Kreß, et al. · Lecture notes in computer science · 4
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LOTTA: An FPGA-based Low-Power Temporal Convolutional Network Hardware Accelerator
2024 · Fabian Kreß, Alexey Serdyuk, et al. · IEEE International System-on-Chip Conference (SOCC) · 3
A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object Detection
2023 · Julian Hoefer, Tim Hotfilter, et al. · Lecture notes in computer science · 3
VHDL Crash Course: A Multimedia-Based Teaching Approach
2024 · Fabian Kreß, Vladimir Sidorenko, et al. · IEEE German Education Conference (GECon) · 2
Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems
2023 · Matthias Stammler, Vladimir Sidorenko, et al. · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) · 2
A Hardware-Centric Approach to Increase and Prune Regular Activation Sparsity in CNNs
2023 · Tim Hotfilter, Julian Hoefer, et al. · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) · 2
Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA
2023 · Fabian Kreß, Julian Hoefer, et al. · Communications in computer and information science · 2
Mitigating Event Fluctuations with Adaptive Buffering for Robust Neuromorphic Systems
2026 · Carmen Weigelt, Jann Krausse, et al. · Communications in computer and information science · 1
Deep Neural Network Inference Partitioning in Embedded Hybrid Analog-Digital Systems
2025 · Fabian Kreß, Julian Hoefer, et al. · International Symposium on Quality Electronic Design (ISQED) · 1
Works count: 39
Citation count: 139
H-index: 7
I10-index: 4
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