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A predictive model for dynamic microarchitectural adaptivity control
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
Rapidly selecting good compiler optimizations using performance counters
Automatic performance model construction for the fast software exploration of new hardware designs
Predictive search distributions
Using machine learning to focus iterative optimization
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