Deep convolutional network heterogeneous architecture
US12118451B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Feb 2, 2017 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Dec 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are directed towards a system on chip (SoC) that implements a deep convolutional network heterogeneous architecture. The SoC includes a system bus, a plurality of addressable memory arrays coupled to the system bus, at least one applications processor core coupled to the system bus, and a configurable accelerator framework coupled to the system bus. The configurable accelerator framework is an image and deep convolutional neural network (DCNN) co-processing system. The SoC also includes a plurality of digital signal processors (DSPs) coupled to the system bus, wherein the plurality of DSPs coordinate functionality with the configurable accelerator framework to execute the DCNN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.