公开(公告)号：WO2021011577A1

公开(公告)日：2021-01-21

申请号：PCT/US2020/042014

申请日：2020-07-14

Applicant: INTEL CORPORATION

Inventor： SAKARDA, Premanand ,  ROTEM, Efraim ,  WEISSMANN, Eliezer ,  ABU SALAH, Hisham ,  BEJA, Hadas ,  FENGER, Russell ,  GANAPATHY, Deepak ,  HERMERDING II, James ,  KARAVANY, Ido ,  KRISHNAKUMAR, Nivedha ,  NAIR, Sudheer ,  OLSWANG, Gilad ,  PERI, Moran ,  WAGNER, Avishai ,  WANG, Zhongsheng ,  YASSIN, Noha

IPC: G06F1/324 ,  G06F1/3212 ,  G06F1/3296 ,  G06F1/3293 ,  G06N20/00

Abstract: Described are mechanisms and methods for tracking user behavior profile over large time intervals and extracting observations for a user usage profile. The mechanisms and methods use machine learning (ML) algorithms embedded into a dynamic platform and thermal framework (DPTF) (e.g., Dynamic Tuning Technology) and predict device workloads using hardware (HW) counters. These mechanisms and methods may accordingly increase performance and user responsiveness by dynamically changing an Energy Performance Preference (EPP) based on a longer time workload analysis and workload prediction.