Configurable and programmable multi-core architecture with a specialized instruction set for embedded application based on neural networks
US10846591B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2016 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Sep 22, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A programmable architecture specialized for convolutional neural networks (CNNs) processing such that different applications of CNNs may be supported by the presently disclosed method and apparatus by reprogramming the processing elements therein. The architecture may include an optimized architecture that provides a low-area or footprint and low-power solution desired for embedded applications while still providing the computational capabilities required for CNN applications that may be computationally intensive, requiring a huge number of convolution operations per second to process inputs such as video streams in real time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.