Optimized HW/FW Generation from an Abstract Register Interface Model. - Michael Werner; Igli Zeraliu; Zhao Han; Sebastian Siegfried Prebeck; Lorenzo Servadei; Wolfgang Ecker (DSD, 2020)

Automated HW/SW co-design for edge AI: state, challenges and steps ahead. - Oliver Bringmann 001; Wolfgang Ecker; Ingo Feldner; Adrian Frischknecht; Christoph Gerum; Timo Hämäläinen 001; Muhammad Abdullah Hanif; Michael J. Klaiber; Daniel Mueller-Gritschneder; Paul Palomero Bernardo; Sebastian Siegfried Prebeck; Muhammad Shafique 001 (CODES+ISSS, 2021)

ISA Modeling with Trace Notation for Context Free Property Generation. - Keerthikumara Devarajegowda; Endri Kaja; Sebastian Siegfried Prebeck; Wolfgang Ecker (DAC, 2021)

Towards Fault Simulation at Mixed Register-Transfer/Gate-Level Models. - Endri Kaja; Nicolas Gerlin; Mounika Vaddeboina; Luis Rivas; Sebastian Siegfried Prebeck; Zhao Han; Keerthikumara Devarajegowda; Wolfgang Ecker (DFT, 2021)

RTL Delay Prediction Using Neural Networks. - Daniela Sanchez Lopera; Lorenzo Servadei; Vishwa Priyanka Kasi; Sebastian Siegfried Prebeck; Wolfgang Ecker (NorCAS, 2021)

Transformative Hardware Design Following the Model-Driven Architecture Vision. - Zhao Han; Gabriel Rutsch; Deyan Wang; Bowen Li; Sebastian Siegfried Prebeck; Daniela Sanchez Lopera; Keerthikumara Devarajegowda; Wolfgang Ecker (VLSI-SoC (Selected Papers), 2021)

Aspect-Oriented Design Automation with Model Transformation. - Zhao Han; Deyan Wang; Gabriel Rutsch; Bowen Li; Sebastian Siegfried Prebeck; Daniela Sanchez Lopera; Keerthikumara Devarajegowda; Wolfgang Ecker (VLSI-SoC, 2021)

A Scalable, Configurable and Programmable Vector Dot-Product Unit for Edge AI. - Sebastian Prebeck; Sathya Ashok; Mounika Vaddeboina; Keerthikumara Devarajegowda; Wolfgang Ecker (MBMV, 2022)

A Smart HW-Accelerator for Non-uniform Linear Interpolation of ML-Activation Functions. - Sebastian Siegfried Prebeck; Wafic Lawand; Mounika Vaddeboina; Wolfgang Ecker (SAMOS, 2022)

Early RTL delay prediction using neural networks. - Daniela Sanchez Lopera; Lorenzo Servadei; Sebastian Siegfried Prebeck; Wolfgang Ecker (Microprocess. Microsystems, 2022)

G-QED: Generalized QED Pre-silicon Verification beyond Non-Interfering Hardware Accelerators. - Saranyu Chattopadhyay; Keerthikumara Devarajegowda; Bihan Zhao; Florian Lonsing; Brandon A. D'Agostino; Ioanna Vavelidou; Vijay Deep Bhatt; Sebastian Prebeck; Wolfgang Ecker; Caroline Trippel; Clark W. Barrett; Subhasish Mitra (DAC, 2023)

Bits, Flips and RISCs. - Nicolas Gerlin; Endri Kaja; Fabian Vargas 001; Li Lu; Anselm Breitenreiter; Junchao Chen 001; Markus Ulbricht 002; Maribel Gomez; Ares Tahiraga; Sebastian Prebeck; Eyck Jentzsch; Milos Krstic; et al. (DDECS, 2023)

Parallel Golomb-Rice Decoder with 8-bit Unary Decoding for Weight Compression in TinyML Applications. - Mounika Vaddeboina; Endri Kaja; Alper Yilmayer; Sebastian Prebeck; Wolfgang Ecker (DSD, 2023)

Generator IP-reuse and Automated Infrastructure Generation for Model-based Full-Chip Generation. - Johannes Schreiner; Vasundhara Raje Gontia; Sebastian Prebeck; Wolfgang Ecker (MBMV, 2023)

An Automated and Effective Approach for SBST Generation Targeting RISC-V CPUs. - Endri Kaja; Nicolas Gerlin; Jad Al Halabi; Ares Tahiraga; Sebastian Prebeck; Dominik Stoffel; Wolfgang Kunz; Wolfgang Ecker (DFT, 2024)

Special Session: A Mixed Simulation-, Emulation-, and Formal-Based Fault Analysis Methodology for RISC-V. - Endri Kaja; Nicolas Gerlin; Ares Tahiraga; Jad Al Halabi; Sebastian Prebeck; Dominik Stoffel; Wolfgang Kunz; Wolfgang Ecker (DFT, 2024)

An Automated Exhaustive Fault Analysis Technique guided by Processor Formal Verification Methods. - Endri Kaja; Nicolas Gerlin; Bihan Zhao; Daniela Sanchez Lopera; Jad Al Halabi; Azam Sher Khan; Sebastian Prebeck; Dominik Stoffel; Wolfgang Kunz; Wolfgang Ecker (ISQED, 2024)

Automated Intrinsic Support for ISA Extensions: Enhancing Software Generation for RISC-V and Beyond. - Mayuri Bhadra; Stephanie Ecker; Daniel Albert; Ravindra Ramaiah; Sebastian Prebeck; Wolfgang Ecker (NorCAS, 2024)

HW-Acceleration for Edge-AI. - Sebastian Siegfried Prebeck (2024)