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.
Patent No.:
Date of Patent:
Aug. 06, 2013
Filed:
Jul. 26, 2011
Juan Andres Torres Robles, Wilsonville, OR (US);
Salma Mostafa Fahmy, Cairo, EG;
Peter Louiz Rezk Beshay, Cairo, EG;
Kareem Madkour, Cairo, EG;
Fedor G Pikus, Bellevue, WA (US);
Jen-yi Wuu, Wilsonville, OR (US);
Duo Ding, Austin, TX (US);
Juan Andres Torres Robles, Wilsonville, OR (US);
Salma Mostafa Fahmy, Cairo, EG;
Peter Louiz Rezk Beshay, Cairo, EG;
Kareem Madkour, Cairo, EG;
Fedor G Pikus, Bellevue, WA (US);
Jen-Yi Wuu, Wilsonville, OR (US);
Duo Ding, Austin, TX (US);
Mentor Graphics Corporation, Wilsonville, OR (US);
Abstract
Aspects of the invention relate to hybrid hotspot detection techniques. The hybrid hotspot detection techniques combine machine learning classification, pattern matching and process simulation. A machine learning model, along with false hotspots and false non-hotspots for pattern matching, is determined based on training patterns. The determined machine learning model is then used to classify patterns in a layout design into three categories: preliminary hotspots, preliminary non-hotspots and potential hotspots. Pattern matching is then employed to identify false positives and false negatives in the first two categories. Process simulation is employed to identify boundary hotspots in the last category.