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:
Feb. 21, 2012
Filed:
Feb. 19, 2009
Debjit Sinha, Wappingers Falls, NY (US);
Adil Bhanji, Wappingers Falls, NY (US);
Barry L. Dorfman, Austin, TX (US);
Kerim Kalafala, Rhinebeck, NY (US);
Natesan Venkateswaran, Hopewell Junction, NY (US);
Chandramouli Visweswariah, Croton-on-Hudson, NY (US);
Debjit Sinha, Wappingers Falls, NY (US);
Adil Bhanji, Wappingers Falls, NY (US);
Barry L. Dorfman, Austin, TX (US);
Kerim Kalafala, Rhinebeck, NY (US);
Natesan Venkateswaran, Hopewell Junction, NY (US);
Chandramouli Visweswariah, Croton-on-Hudson, NY (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A method for performing a hierarchical statistical timing analysis of an integrated circuit (IC) chip design by abstracting one or more macros of the design. The method includes performing a statistical static timing analysis of at least one macro; performing a statistical abstraction of the macro to obtain a statistical abstract model of the macro timing characteristics; applying the statistical abstract model as the timing model for each occurrence of the macro leading to a simplified IC chip design; and performing a hierarchical statistical timing analysis of the simplified chip design. The method achieves a context aware statistical abstraction, where a generated statistical abstract model is instantiated for each macro of the chip during statistical static timing analysis at the chip level, providing a compressed and pruned statistical timing abstraction and reducing the model-size during the statistical abstraction.