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:
Jun. 05, 2012

Filed:

Dec. 23, 2009
Applicants:

Saurabh Tiwary, Berkeley, CA (US);

Hongzhou Liu, Sewickley, PA (US);

Hui Zhang, Pittsburgh, PA (US);

Inventors:

Saurabh Tiwary, Berkeley, CA (US);

Hongzhou Liu, Sewickley, PA (US);

Hui Zhang, Pittsburgh, PA (US);

Assignee:

Cadence Design Systems, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
Abstract

For an integrated circuit associated with a first plurality of parameters whose values are described by a first probability distribution function, a method for estimating a failure probability includes selecting a first plurality of samples, performing a first test to determine an outcome for each of the first plurality of samples and identifying failed samples. A second plurality of parameters is selected that has fewer parameters than the first plurality of parameters. The failed samples are clustered in the space of the second plurality of parameters using a computer-implemented cluster forming method that, in some cases, returns multiple clusters. The method also includes forming a probability distribution function for each of the clusters, forming a composite probability distribution function that includes a weighted combination of the first probability distribution function and the probability distribution function for each of the clusters. The method further includes selecting a second plurality of samples using the composite probability distribution function and performing a second test to determine an outcome for each of the second plurality of samples. A failure probability can then be computed.


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