Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

SOM neural network algorithm processing method based on intelligent chip

A neural network algorithm and smart chip technology, applied in the field of parallel processing of self-organizing mapping neural networks, can solve the problems of data synchronization and time-consuming kernel startup.

Active Publication Date: 2020-10-30
HARBIN INST OF TECH AT WEIHAI
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In fact, data synchronization and kernel launch on the GPU are extremely time-consuming

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • SOM neural network algorithm processing method based on intelligent chip
  • SOM neural network algorithm processing method based on intelligent chip
  • SOM neural network algorithm processing method based on intelligent chip

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after reading the present invention, those skilled in the art will understand various equivalents of the present invention Modifications in form all fall within the scope defined by the appended claims of this application.

[0032] A kind of SOM neural network algorithm processing method based on intelligent chip, such as figure 1 shown, including the following steps:

[0033] Step 1: Device initialization:

[0034] (1) Obtain platform information, including the number of equipment platforms, the id number of the platform, and the name of the equipment;

[0035] (2) Obtain device context and command queue;

[0036] (3) Establish the device memory space according to the size of the memory in the host pro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a self-organizing feature mapping neural network (SOM) algorithm processing method based on an intelligent chip. The SOM neural network is a classic clustering algorithm in unsupervised machine learning and is widely applied to image processing, data mining and deep learning. According to the method, an SOM neural network algorithm is divided into a plurality of steps without data dependence, and the process is called as Kernel division in the following. Under the condition that the high degree of parallelism of each step is ensured, each step is implemented on a GPU, and the Kernel is realized and optimized step by step correspondingly. After a single Kernel is efficiently realized on the GPU, all the steps are integrated into one Kernel. According to the method, the integrated Kernel is deeply optimized, and in the process of integrating and iterating each step, a global synchronization method is used, so that an efficient SOM neural network algorithm which canbe completed by starting the Kernel once at a GPU end is finally realized.

Description

technical field [0001] The invention belongs to the field of computer technology, and further designs a self-organizing mapping neural network parallel processing method using an open computing language OpenCL (Open Computing Language) in the field of computer vision and deep learning technology. The invention can accelerate the calculation process of the self-organizing map neural network. Background technique [0002] Self-organizing Map (SOM) is a clustering algorithm. It is a biologically plausible model of artificial neural networks, which can convert input signals of arbitrary dimensions into one-dimensional or two-dimensional discrete maps by computational mapping, and achieve this process in an adaptive manner. It automatically classifies the input data without supervision, conducts self-organized learning on the input pattern, can repeatedly adjust the connection weights, and finally expresses the classification results at the output layer. [0003] SOM neural net...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063G06N3/08G06T1/20
CPCG06N3/063G06N3/08G06T1/20
Inventor 季振洲林灏铨王佩锟
Owner HARBIN INST OF TECH AT WEIHAI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com