System, method, and computer-program product for routing in an electronic design using deep learning
US11348000B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2016 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | May 28, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a computer-implemented method for routing in an electronic design. Embodiments may include receiving, using at least one processor, global route data associated with an electronic design as an input and generating detail route data, based upon, at least in part, the global route data. Embodiments may further include transforming one or more of the detail route data and the global route data into at least one input feature and at least one output result of a deep neural network. Embodiments may also include training the deep neural network with the global route data and the detail route data and predicting an output associated with a detail route based upon, at least in part, a trained deep neural network model. Embodiments may also include generating routing information for each routing grid.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.