Device and method for artificial nerve network computing

An artificial neural network and neural network technology, applied in the direction of neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of no artificial neural network operation, high power consumption overhead, performance bottlenecks, etc., to reduce memory access bandwidth , reduce the amount of calculation, improve the effect of support

Active Publication Date: 2018-07-24
CAMBRICON TECH CO LTD +1
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the GPU is a device specially used to perform graphics and image calculations and scientific calculations, there is no special support for artificial neural network operations, and a large amount of front-end decoding work is still required to perform artificial neural network operations, which brings a lot of additional overhead.
In addition, the GPU has only a small on-chip cache, and the model data (weights) of the multi-layer artificial neural network need to be repeatedly moved from off-chip. The off-chip bandwidth has become the main performance bottleneck, and it has brought huge power consumption overhead.

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
  • Device and method for artificial nerve network computing
  • Device and method for artificial nerve network computing
  • Device and method for artificial nerve network computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Certain embodiments of the invention will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments are shown. Indeed, various embodiments of the invention may be embodied in many different forms and should not be construed as limited to these set forth embodiments; rather, these embodiments are provided so that this invention will satisfy applicable legal requirements.

[0038] In this specification, the various embodiments described below to describe the principles of the present invention are illustrative only and should not be construed as limiting the scope of the invention in any way. The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of exemplary embodiments of the present invention as defined by the claims and their equivalents. The following description includes numerous specific details to aid in understanding, but these shoul...

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 device and a method for artificial nerve network computing. The device for artificial nerve network computing comprises a mapping unit which receives input nerve cell and weight, generates connecting data of the input nerve cell and output nerve cell, and outputs the input nerve cell and the weight after mapping. The corresponding relation between the input nerve cell andthe weight after mapping is an input nerve cell-weight pair. The mapping unit comprises a first mapping unit, used for removing the weight which is 0 or less than a first threshold value, and a secondmapping unit, used for removing the input nerve cell which is 0 or less than a second threshold value.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more particularly relates to an artificial neural network operation device and method. Background technique [0002] Artificial Neural Networks (ANNs), referred to as neural networks (NNs) for short, is an algorithmic mathematical model that imitates the behavioral characteristics of animal neural networks and performs distributed parallel information processing. This kind of network depends on the complexity of the system, and achieves the purpose of processing information by adjusting the interconnection relationship data between a large number of internal nodes. The algorithm used in neural networks is vector multiplication, and symbolic functions and their various approximations are widely used. [0003] Neural networks are widely used in various application scenarios: computational vision, speech recognition, and natural language processing, etc. In recent years, the si...

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): G06N3/063G06N3/08
CPCG06N3/063G06N3/08G06N3/082G06N3/04G06F17/16G06F2207/4824
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap