Patent · US Active

Neural network computing-oriented modeling method and apparatus for distributed data routing

US11805025B1 · kind B1 · utility

3Cited by

2References

10Claims

0Family size

Assignee

ZHEJIANG LAB · CN

Inventors

Hongsheng Wang · Elmhurst, US
Shuibing He · Hubei, CN
Hujun Bao · Hangzhou City, CN
Guang Chen · Hangzhou City, CN

Key dates

Filing date	Jun 23, 2022
Grant date	Oct 31, 2023
Priority date	—
Expiry date	Jun 23, 2042

Classification

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

Abstract

The present disclosure provides a neural network computing-oriented modeling method and apparatus for distributed data routing. The method includes the following steps: S1, designing the distributed attribute of a physical tensor: abstracting a mapping relationship between a logic tensor and the physical tensor into three distributed attributes including a broadcast attribute, a scatter attribute and a local reduction attribute; S2, deducing the distributed attribute of an output tensor: specifying the distributed attribute of an input tensor, and then deducing the legal distributed attribute of the output tensor according to the known distributed attribute of the input tensor; and S3, judging, according to the distributed attribute situation, whether an intermediate communication primitive needs to be inserted to obtain the distributed attribute of a local physical tensor. The difficulty of distributed design and development is low, and the development of application of a deep neural network large model is promoted.

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