Machine learning for run-time energy optimisation in many-core systems

Author:

Biswas Dwaipayan,Balagopal Vibishna,Shafik Rishad,Al-Hashimi Bashir M.,Merrett Geoff V.

Publisher

IEEE

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Synthesis of FSMs for Enforcing Non-functional Requirements on MPSoCs Using Multi-objective Evolutionary Algorithms;ACM Transactions on Design Automation of Electronic Systems;2023-10-16

2. Hybrid Genetic Reinforcement Learning for Generating Run-Time Requirement Enforcers;Proceedings of the 21st ACM-IEEE International Conference on Formal Methods and Models for System Design;2023-09-21

3. Learning-Based Drop-Aware Mixed-Criticality Task Scheduling;Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems;2023-07-24

4. Bounding Time in Mixed-Criticality Systems;Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems;2023-07-24

5. ADAPTIVE: Agent-Based Learning for Bounding Time in Mixed-Criticality Systems;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

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