Dynamic current modeling in dynamic voltage drop analysis
US12277371B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 28, 2020 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Jun 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2119/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Circuit design techniques can use a trained predictor to predict key dynamic current metrics (such as peak current, peak time, pulse width and total charge) for a gate in a circuit library, where the predictor has been trained over different combinations of different input transition slews and different output fanout models. A dynamic current model solver can be used for a gate in the cell library to derive waveforms (of current versus time) for the different combinations, and a predictor, such as a neural network, can be trained with the outputs from the solver for the different combinations. The trained predictor can be used in a runtime simulation to solve for the dynamic current demand model of the various gates in a circuit design (such as all of the gates in an integrated circuit).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.