Machine Learning to aid Dynamic Compilation

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Description

Following the successful experience in employing machine learning for static compilation in the MilePost project, we are looking into innovative ways in which machine learning can aid dynamic compilation environments. This imposes more stringent operating requirements, yet opens up new venues to explore, including the interaction among runtime, compilation, and machine learning.