Scan chain wirelength optimization using Q-learning based reinforcement learning
US11507721B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 25, 2020 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Jan 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, a computer system, and a computer program product for scan chain wirelength optimization is provided. Embodiments of the present invention may include obtaining root nodes details from the root nodes. Embodiments of the present invention may include optimizing a connectivity of the root nodes. Embodiments of the present invention may include identifying a best start node and a best end node for each of the root nodes. Embodiments of the present invention may include optimizing child nodes in each of the root nodes. Embodiments of the present invention may include determining that a wirelength of a full tour is shorter or longer than a nearest neighbor. Embodiments of the present invention may include applying or skipping a solution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.