SYSTEM FOR SEARCH AND ANALYSIS OF SYSTEMATIC DEFECTS IN INTEGRATED CIRCUITS

• US 20080232675A1
• Filed: 06/04/2008
• Published: 09/25/2008
• Est. Priority Date: 10/30/2003
• Status: Active Grant

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Maynard, Daniel N., Lavin, Mark A., Mukherjee, Maharaj, Bergman Reuter, Bette L., DeMaris, David L., Leipold, William C.
• Granted Patent: US 7,552,417 B2
• Time in Patent Office: Days
• US Class Current: 382/149
• CPC Class Codes: G06T 2207/30148 Semiconductor; IC; Wafer
• CPC Class Codes: G06T 7/001 using an image reference approach

Abstract

Disclosed is a method of locating systematic defects in integrated circuits. The invention first performs a preliminary extracting and index processing of the circuit design and then performs feature searching. When performing the preliminary extracting and index processing the invention establishes a window grid for the circuit design and merges basis patterns with shapes in the circuit design within each window of the window grid. The invention transforms shapes in a each window into feature vectors by finding intersections between the basis patterns and the shapes in the windows. Then, the invention clusters the feature vectors to produce an index of feature vectors. After performing the extracting and index processing, the invention performs the process of feature searching by first identifying a defect region window of the circuit layout and similarly merging basis patterns with shapes in the defect region window. This merging process can include rotating and mirroring the shapes in the defect region. The invention similarly transforms shapes in the defect region window into defect vectors by finding intersections between basis patterns and the shapes in the defect region. Then, the invention can easily find feature vectors that are similar to the defect vector using, for example, representative feature vectors from the index of feature vectors. Then, the similarities and differences between the defect vectors and the feature vectors can be analyzed.

Claims

1. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform a method of locating systematic defects in integrated circuits, said method comprising:

performing preliminary extracting and index processing of a circuit design comprising;

transforming shapes in a circuit layout into feature vectors; and

comparing said feature vectors to produce an index of feature vectors; and

after performing said preliminary extracting and index processing, performing a process of feature searching comprising;

identifying a defect region of said circuit layout;

transforming shapes in said defect region into defect vectors; and

finding feature vectors that are similar to said defect vectors using said index of feature vectors.

2. The program storage device in claim 1, further comprising analyzing similarities and differences between manufactured shapes represented by said defect vectors and manufactured shapes represented by said feature vectors that are similar to said defect vectors.

3. The program storage device in claim 1, further comprising, after said comparing process, storing said feature vectors and said index in a database, wherein said database is used for multiple different features searching processes.

4. The program storage device in claim 1, further comprising, before said comparing process, performing sampling on said feature vectors to eliminate redundant feature vectors.

5. The program storage device in claim 1, further comprising maintaining coordinate location information of said feature vectors within said circuit design.

6. The program storage device in claim 1, wherein said extracting and index processing is performed for a first window size and, wherein said method further comprises repeating said extracting and index processing for different window sizes.

7. The program storage device in claim 6, wherein said process of finding feature vectors comprises using feature vectors that have a window size matching a window size of said defect region.