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. 14, 2020

Filed:

Apr. 28, 2017
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Gokce Keskin, Sunnyvale, CA (US);

Stephen J. Tarsa, Cambridge, MA (US);

Gautham N. Chinya, Portland, OR (US);

Tsung-Han Lin, Campbell, CA (US);

Perry H. Wang, San Jose, CA (US);

Hong Wang, Santa Clara, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/38 (2018.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 9/3806 (2013.01); G06N 3/08 (2013.01);
Abstract

Implementations of the disclosure provide a processing device comprising a branch predictor circuit to obtain a branch history for an application. The branch history comprising references to branching instructions associated with the application and an outcome of executing each branch. Using the branch history, a neutral network is trained to produce a weighted value for each branch of the branching instructions. Features of the branching instructions are identified based on the weighted values. Each feature identifying predictive information regarding the outcome of at least one branch of correlated branches having corresponding outcomes. A feature vector is determined based on the features. The feature vector comprises a plurality of data fields that identify an occurrence of a corresponding feature of the correlated branches with respect to the branch history. Using the feature vector, a data model is produced to determine a predicted outcome associated with the correlated branches.


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