A Machine Learning Methodology for Cache Recommendation. - Osvaldo Navarro; Jones Yudi Mori; Javier Hoffmann; Fabian Stuckmann; Michael Hübner 001 (ARC, 2017)

Issue-Slot Based Predication Encoding Technique for VLIW Processors. - Lukas Gerlach 001; Fabian Stuckmann; Holger Blume; Guillermo Payá-Vayá (MOCAST, 2020)

PATARA: A REVERSI-Based Open-Source Tool for Post-Silicon Validation of Processor Cores. - Fabian Stuckmann; Pasha A. Fistanto; Guillermo Payá-Vayá (MOCAST, 2021)

PATARA: Extension of a Verification Framework for RISC-V Instruction Set Implementations. - Sven Gesper; Fabian Stuckmann; Lucy Wöbbekind; Guillermo Payá-Vayá (SAMOS, 2023)

A Graph Neural Network Approach to Improve List Scheduling Heuristics Under Register-Pressure. - Fabian Stuckmann; Guillermo Payá-Vayá (MOCAST, 2024)

Energy-Aware Register Allocation for VLIW Processors. - Fabian Stuckmann; Moritz Weißbrich; Guillermo Payá-Vayá (J. Signal Process. Syst., 2024)