Patent · US Active

Data reuse method based on convolutional neural network accelerator

US11487989B2 · kind B2 · utility

0Cited by

2References

6Claims

0Family size

Assignee

Shanghai Iluvatar CoreX Semiconductor Co., Ltd. · CN

Inventors

Yile Sun · Shanghai, CN
Pingping Shao · San Jose, US
Yongliu Wang · Shanghai, CN
Jinshan Zheng · Shanghai, CN
Yunxiao Zou · Shanghai, CN
Haihua Zhai · Shanghai, CN

Key dates

Filing date	Dec 31, 2018
Grant date	Nov 1, 2022
Priority date	—
Expiry date	Jun 1, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/0464
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A data reuse method based on a convolutional neural network accelerator includes a tile scanning module receiving command information of a command module, the command information comprising a size of a CNN job to be divided into tile blocks; a tile scanning module according to a tile. The size of the tile generates the coordinates of the tile block and sends it to the memory request module; the memory request module generates a memory read request and sends the memory read request to the memory module; the memory module sequentially returns the tile block data to the input activation In the weight buffer unit, the input activation weight buffer unit saves the received tile block data to implement data reuse and transmits the received tile block data to the calculation processing unit PE.

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