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:
Jan. 10, 2017

Filed:

May. 22, 2014
Applicant:

Oracle International Corporation, Redwood City, CA (US);

Inventors:

Timothy L. Harris, Cambridge, GB;

Virendra J. Marathe, Florence, MA (US);

Martin C. Maas, Berkeley, CA (US);

Assignee:

Oracle International Corporation, Redwood City, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/28 (2006.01); G06F 9/48 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 9/4881 (2013.01); G06F 9/48 (2013.01); G06F 9/4856 (2013.01); G06F 9/50 (2013.01); G06F 9/5011 (2013.01); G06F 2209/486 (2013.01); G06F 2209/5021 (2013.01);
Abstract

Multi-core computers may implement a resource management layer between the operating system and resource-management-enabled parallel runtime systems. The resource management components and runtime systems may collectively implement dynamic co-scheduling of hardware contexts when executing multiple parallel applications, using a spatial scheduling policy that grants high priority to one application per hardware context and a temporal scheduling policy for re-allocating unused hardware contexts. The runtime systems may receive resources on a varying number of hardware contexts as demands of the applications change over time, and the resource management components may co-ordinate to leave one runnable software thread for each hardware context. Periodic check-in operations may be used to determine (at times convenient to the applications) when hardware contexts should be re-allocated. Over-subscription of worker threads may reduce load imbalances between applications. A co-ordination table may store per-hardware-context information about resource demands and allocations.


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