Extracting features from a NoC for machine learning construction
US10084725B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 11, 2017 |
| Grant date | Sep 25, 2018 |
| Priority date | — |
| Expiry date | Apr 28, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L49/251
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure is directed to extracting features from a NoC for machine learning construction. Example implementations include a method for generating a Network on Chip (NoC), wherein the method can extract at least one feature from a NoC specification to derive at least one of: grid features, traffic features and topological features associated with the NoC. The method can perform a process on the at least one of the grid features, the traffic features and the topological features associated with the NoC to determine at least one of an evaluation of at least one mapping strategy selected from a plurality of mapping strategies of the NoC based on a quality metric, and the selection of the at least one mapping strategy is based on the quality metric. The method can further perform generate the NoC based on the process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.