Neural network based physical synthesis for circuit designs
US10192016B2 · kind B2 · utility
42Cited by
8References
20Claims
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Key dates
| Filing date | Jan 17, 2017 |
| Grant date | Jan 29, 2019 |
| Priority date | — |
| Expiry date | May 19, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2119/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Physical synthesis for a circuit design can include determining, using a processor, features relating to a signal path of the circuit design not meeting a timing requirement, processing the features through a first neural network model using the processor, wherein the first neural network model is trained to indicate an effectiveness of a first physical synthesis optimization, and selectively performing, using the processor, the first physical synthesis optimization for the signal path based upon a result from the first neural network model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.