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Title:
CONVOLUTIONAL NEURAL NETWORK ACCELERATION METHOD AND SYSTEM BASED ON CORTEX-M PROCESSOR, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/123648
Kind Code:
A1
Abstract:
The present application relates to a convolutional neural network acceleration method and system based on a Cortex-M processor, and a medium. The method comprises: setting an MCR instruction and a CDP instruction according to common basic operators of a convolutional neural network, wherein the common basic operators comprise a convolution operator, a Relu activation operator, a pooling operator, a table look-up operator, and a quantization operator; and configuring an internal register of a convolutional neural network coprocessor by means of the MCR instruction, and then starting the common basic operators of the convolutional neural network by means of the CDP instruction. By means of the present application, the problems of low efficiency, high cost, and inflexibility during the execution of a convolutional neural network algorithm in a processor are solved; basic operators required by a convolutional neural network are executed by means of an instruction set of a coprocessor; and the cost of reconstructing hardware can be reduced for an application field with variable algorithms.

Inventors:
REN YANG (CN)
LIANG HONGLEI (CN)
MEN CHANGYOU (CN)
XIA JUNHU (CN)
TAN NIANXIONG (CN)
Application Number:
PCT/CN2022/077862
Publication Date:
July 06, 2023
Filing Date:
February 25, 2022
Export Citation:
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Assignee:
HANGZHOU VANGO TECH INC (CN)
International Classes:
G06N3/063; G06N3/04
Foreign References:
CN112200305A2021-01-08
CN106940815A2017-07-11
CN110490311A2019-11-22
US20200341758A12020-10-29
Other References:
HANG ZHOU, HE YAJUAN: "Design of Perceptual Quantization Convolutional Neural Network Acceleration System based on FPGA", ELECTRONICS WORLD, 15 June 2021 (2021-06-15), pages 164 - 165, XP093074513, DOI: 10.19353/j.cnki.dzsj.2021.11.067
Attorney, Agent or Firm:
JIANGSU SUNDY LAW FIRM (CN)
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