The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 17, 2015

Filed:

Jun. 14, 2007
Applicants:

Jie Liu, Sammamish, WA (US);

Feng Zhao, Issaquah, WA (US);

Michel Goraczko, Seattle, WA (US);

Slobodan Matic, Berkeley, CA (US);

Dimitrios Lymberopoulos, Redmond, WA (US);

Nissanka Priyantha, Redmond, WA (US);

Inventors:

Jie Liu, Sammamish, WA (US);

Feng Zhao, Issaquah, WA (US);

Michel Goraczko, Seattle, WA (US);

Slobodan Matic, Berkeley, CA (US);

Dimitrios Lymberopoulos, Redmond, WA (US);

Nissanka Priyantha, Redmond, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 1/00 (2006.01); G06F 1/32 (2006.01); G06F 9/48 (2006.01);
U.S. Cl.
CPC ...
G06F 1/3203 (2013.01); G06F 1/329 (2013.01); G06F 9/4893 (2013.01); Y02B 60/144 (2013.01); G06F 2209/484 (2013.01);
Abstract

Energy management modeling and scheduling techniques are described for reducing the power consumed to execute an application on a multi-processor computing platform within a certain time period. In one embodiment, a sophisticated resource model which accounts for discrete operating modes for computing components/resources on a computing platform and transition costs for transitioning between each of the discrete modes is described. This resource model provides information for a specific heterogeneous multi-processor computing platform and an application being implemented on the platform in a form that can be processed by a selection module, typically utilizing an integer linear programming (ILP) solver or algorithm, to select a task schedule and operating configuration(s) for executing the application within a given time.


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