Dynamic Microarchitecture Adaptation Using Machine Learning

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APPARATUS AND METHOD FOR DYNAMIC MICROARCHITECTURE ADAPTION USING MACHINE LEARNING TO IMPROVE CORE PERFORMANCE

Application US20260093501A1 Kind: A1 Apr 02, 2026

Inventors

Zhu Zhou, Bin Li, Gilles Pokam, Wessam Elhefnawy

Abstract

An apparatus and method for dynamic microarchitecture adaptation based on machine learning implementations. For example, one embodiment of a method comprises: configuring a trained reinforcement learning model on a machine learning circuitry integral to a first processor of a first processor type, the trained reinforcement learning model having been trained with microarchitectural performance data and workload data corresponding to the first processor type; determining, by the machine learning circuitry using the trained reinforcement learning model, microarchitectural configuration updates based on first telemetry data and characteristics of workloads to be executed; and applying the microarchitectural configuration updates on the first processor.

CPC Classifications

G06F 9/44505 G06N 3/04 G06N 3/092 G06N 20/00

Filing Date

2024-09-27

Application No.

18900524

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