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The paper 'GCN-based reinforcement learning approach for scheduling DAG applications' was accepted for publication at IFIP AIAI '23.
Cecile Coordination Compiler
The paper 'Can we trust our energy measurements? A study on the Odroid-XU4' was accepted for the OSPERT '22 workshop.
Scheduling DAGs of Multi-version Multi-phase Tasks on Heterogeneous Real-time Systems
The paper 'Scheduling DAGs of Multi-version Multi-phase Tasks on Heterogeneous Real-time Systems' was accepted for IEEE MCSOC'21.
Uraz Odyurt received the Best Presentation in Session Award at IEEE ICPS'21 for his presentation entitled 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB'
Uraz Odyurt received the Best Student Paper Award at IEEE ICPS'21 for his paper entitled 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB'
The paper 'Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB’ was accepted for IEEE ICPS 2021.
Energy-aware Scheduling of Multi-version Tasks on Heterogeneous Real-time Systems
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 'Towards Energy-, Time- and Security-aware Multi-core Coordination' was accepted for COORDINATION 2020.
Q-learning for Statically Scheduling DAGs
Towards Energy-, Time- and Security-Aware Multi-core Coordination
Component-based computation-energy modeling for embedded systems
Interdependent multi-version scheduling in heterogeneous energy-aware embedded systems
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