Intel Corporation

Bijan Arbab

James G Hermerding, Ii

Kelan Craig Silvester

Premanand Sakarda

Chia-Hung Sophia Kuo

Leo Aqrabawi

A machine-learning (ML) scheme running a software driver stack to learn user habits of entry into low power states, such as Modern Connect Standby (ModCS), and duration depending on time of day, and/or system telemetry. The ML creates a High Water Mark (HWM) number of dirty cache lines (DL) as a hint to a power agent. A power agent algorithm uses these hints and actual system's number of DL to inform the low power state entry decision (such as S0i4 vs. S0i3 entry decision) for a computing system.

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San Diego, CA, United States of America

Bijan Arbab