Patent · US Active

Peripheral circuit and system supporting RRAM-based neural network training

US11409438B2 · kind B2 · utility

0Cited by
2References
20Claims
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Assignee

Inventors

Key dates

Filing dateAug 20, 2019
Grant dateAug 9, 2022
Priority date
Expiry dateFeb 16, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/092
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A peripheral circuit includes a data preparation circuit, configured to selectively import, to a row or column of the resistive random access memory (RRAM) crossbar array based on a first control signal, preprocessed data obtained by first preprocessing on first data that is input into the data preparation circuit, a data selection circuit, configured to selectively export second data from the row or column of the RRAM crossbar array based on a second control signal, and perform second preprocessing on the second data to obtain third data, a data reading circuit, configured to: perform a weight update control operation, and perform a max pooling operation on fourth data that is input into the data reading circuit, to obtain fifth data, and a reverse training computation circuit, configured to calculate an error and a derivative of sixth data that is input into the reverse training computation circuit.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.