Power Budget Allocation in Multi-Processor Systems

Patent №

US 9,052,895

Granted

2015-06-09

Filed 2011

Owner

INTERNATIONAL BUSINESS MACHINES

+1 more

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13082144

Systems, apparatuses, methods, and software that implement power budget allocation optimization algorithms in multi-processor systems, such as server farms. The algorithms are derived from a queuing theoretic model that minimizes the mean response time of the system to the jobs in the workload while accounting for a variety of factors. These factors include, but are not necessarily limited to, the type of power (frequency) scaling mechanism(s) available within the processors in the system, the power-to-frequency relationship(s) of the processors for the scaling mechanism(s) available, whether or not the system is an open or closed loop system, the arrival rate of jobs incoming into the system, the number of jobs within the system, and the type of workload being processed.

AI hardwareG06F 1/3203G06F 1/32G06F 1/3206G06F 1/3228G06F 1/324G06F 1/329G06F 9/4893G06F 9/5094+3 more

AI classification

AI hardware0.99
Vision0.00
Planning0.00
Machine learning0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00
Natural language0.00

Ownership

INTERNATIONAL BUSINESS MACHINES

assignment · 269130552

CARNEGIE MELLON UNIVERSITY

assignment · 269130650

Assignors

HARCHOL-BALTER, MOR, GANDHI, ANSHUL

On an employer assignment, the assignors are typically the inventors.

From the same owner

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