and Clemens Grelck

Latest

• The paper 'GCN-based reinforcement learning approach for scheduling DAG applications' was accepted for publication at IFIP AIAI '23.
• The paper 'Can we trust our energy measurements? A study on the Odroid-XU4' was accepted for the OSPERT '22 workshop.
• The paper 'YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms' was accepted for ACM/IFIP MIDDLEWARE 2021.
• The poster 'Q-learning for Statically Scheduling DAGs' will be presented at the IEEE International Conference on Big Data, December 2020.
• The paper 'Energy-aware Scheduling of Multi-version Tasks on Heterogeneous Real-time Systems' was accepted for ACM SAC 2021.
• The paper 'PReGO: a Generative Methodology for Satisfying Real-Time Requirements on COTS-based Systems – Definition and Experience Report' was accepted for CPCE 2020.