ACCURATE PROCESS HOTSPOT DETECTION USING CRITICAL DESIGN RULE EXTRACTION

Patent №

US 8,601,419

Granted

2013-12-03

Filed 2012

Owner

SYNOPSYS, INC.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13669387

An accurate process hotspot detection technique based on DRC is provided. In this technique, critical DRC rules can be extracted from a pattern. This extraction can include generating horizontal tiles and vertical tiles in the pattern, and adding directed edges to indicate relations between adjacent tiles in the pattern. Rule rectangles, which can also be generated during the critical DRC rule extraction, describe polygon placement in the pattern with a minimal number of critical DRC rules. The extracted DRC rules can be included in a DRC runset file. DRC can be performed with the DRC runset file on a layout. The DRC results can be filtered using the rule rectangles to identify potential hotspots and to verify actual hotspots.

AI classification

Knowledge representation1.00
AI hardware0.45
Evolutionary computation0.07
Planning0.05
Vision0.03
Natural language0.01
Machine learning0.00
Speech0.00

Ownership

SYNOPSYS, INC.

assignment · 292430620

Assignors

CHIANG, CHARLES C., YU, YEN-TING, JIANG, HUI-RU, SINHA, SUBARNAREKHA, CHAN, YA-CHUNG

On an employer assignment, the assignors are typically the inventors.

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