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ICTACT Journal on Microelectronics • Vol 7 • No 4
PERFORMANCE COMPARISON OF KNN AND LINEAR REGRESSION BASED MACHINE LEARNING APPROACHES IN THE DESIGN OF AN EM-AGEING AWARE SCHEDULER FOR IMPROVING THE LIFETIME OF MULTI-CORE PROCESSORS
January 2022 • J. P., M. G. Mini
The increasing computing requirements in modern embedded systems demand high performance processing cores with highly down-scaled devices. System reliability due to ageing is a major concern in such processing cores. Run-time adaptations with ageing-aware schedulers are getting more attention to increase the lifetime reliability of the processing cores. Accurate and efficient thermal estimation of processing cores based on the characteristics of workloads is important to implement run-time adaptation schemes. In t…
Computer Science
Artificial Intelligence
Machine Learning
Ageing
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Mathematics
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