Patent · US Active

Feature map caching method of convolutional neural network and system thereof

US11782839B2 · kind B2 · utility

0Cited by

0References

16Claims

0Family size

Assignee

NEUCHIPS CORPORATION · TW

Inventors

Ping Chao · Los Altos Hills, US
Chao-Yang Kao · Hsinchu, TW
Youn-Long Lin · Hsinchu, TW

Key dates

Filing date	Aug 19, 2019
Grant date	Oct 10, 2023
Priority date	—
Expiry date	Jul 4, 2042

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02D10/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A feature map caching method of a convolutional neural network includes a connection analyzing step and a plurality of layer operation steps. The connection analyzing step is for analyzing a network to establish a convolutional neural network connection list. The convolutional neural network connection list includes a plurality of tensors and a plurality of layer operation coefficients. Each of the layer operation coefficients includes a step index, at least one input operand label and an output operand label. The step index as a processing order for the layer operation step. At least one of the layer operation steps is for flushing at least one of the tensors in a cache according to a distance between the at least one of the layer operation steps and a future layer operation step of the layer operation steps. The distance is calculated according to the convolutional neural network connection list.

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