ADAPTIVE REAL-TIME METHODOLOGY FOR OPTIMIZING ENERGY-EFFICIENT COMPUTING

Patent №

US 7,971,073

Granted

2011-06-28

Filed 2006

Owner

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

+1 more

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11556651

Dynamic voltage and frequency scaling (DVFS) is an effective way to reduce energy and power consumption in microprocessor units. Current implementations of DVFS suffer from inaccurate modeling of power requirements and usage, and from inaccurate characterization of the relationships between the applicable variables. A system and method is proposed that adjusts CPU frequency and voltage based on run-time calculations of the workload processing time, as well as a calculation of performance sensitivity with respect to CPU frequency. The system and method are processor independent, and can be applied to either an entire system as a unit, or individually to each process running on a system.

Machine learningG06F 1/3203G06F 1/3215G06F 1/3228G06F 1/324G06F 1/3243G06F 1/3296Y02D 10/00

AI classification

Machine learning0.92
Knowledge representation0.16
Evolutionary computation0.03
AI hardware0.02
Planning0.02
Speech0.01
Natural language0.00
Vision0.00

Ownership

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

assignment · 188920554

LOS ALAMOS NATIONAL SECURITY, LLC

assignment · 192160667

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