Automatic generation of via patterns with coordinate-based recurrent neural network (RNN)
US10599807B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | May 31, 2018 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Jun 5, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, computer program product, a computer processing system are provided for generating synthetic via layout patterns by a Recurrent Neural Network (RNN). The method includes generating, by a processor, a training data set of coordinate arrays that specify coordinates of vias in a set of physical design layouts for a set of integrated circuit elements. The method further includes training, by the processor, the RNN with the training data set of coordinate arrays. The method also includes generating, by the processor, using the RNN, new synthetic via patterns.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.