Patent · US Active

Deep neural network with low-precision dynamic fixed-point in reconfigurable hardware design

US11663464B2 · kind B2 · utility

0Cited by

1References

6Claims

0Family size

Assignee

Kneron (Taiwan) Co., Ltd. · TW

Inventors

Jie Wu · Hangzhou City, CN
Bike Xie · San Diego, US
Hsiang-Tsun Li · San Diego, US
JUNJIE SU · San Diego, US
Chun-Chen Liu · Hengshan, TW

Key dates

Filing date	Aug 27, 2019
Grant date	May 30, 2023
Priority date	—
Expiry date	Sep 25, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06F2207/4824
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system for operating a floating-to-fixed arithmetic framework includes a floating-to-fix arithmetic framework on an arithmetic operating hardware such as a central processing unit (CPU) for computing a floating pre-trained convolution neural network (CNN) model to a dynamic fixed-point CNN model. The dynamic fixed-point CNN model is capable of implementing a high performance convolution neural network (CNN) on a resource limited embedded system such as mobile phone or video cameras.

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