Prefetcher selection with supervised learning

Abstract: in one embodiment, a system includes a processor to receive machine learning training data including label scores based on measurements of device performance during execution of benchmark applications for different prefetcher engine configurations, and corresponding device hardware states, and train configuration specific machine learning regression models based on the received machine learning training data to provide corresponding configuration specific device performance predictions based on given device hardware states, and a memory to store data used by the processor.

Inventor(s): Ariel Szapiro, Gil Levy, Shie Mannor, Gaby Diengott, Elad Alon, Sagi Lahav, Amir Rosen

CPC Classification: G06N20/00 (Machine learning)

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