Patent · US Active

Deep convolutional network heterogeneous architecture

US12118451B2 · kind B2 · utility

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Key dates

Filing dateFeb 2, 2017
Grant dateOct 15, 2024
Priority date
Expiry dateDec 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.