Neural network processor and convolutional neural network processor

A neural network and processor technology, applied in the field of electronic chips, can solve problems such as application scope limitations

Active Publication Date: 2016-01-20
HUAWEI TECH CO LTD
View PDF6 Cites 56 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Companies that directly develop applications generally believe that the existing chip solutions based on the Spiking ...

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
  • Neural network processor and convolutional neural network processor
  • Neural network processor and convolutional neural network processor
  • Neural network processor and convolutional neural network processor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0170] Embodiments of the present invention provide neural network processors and convolutional neural network processors, in order to expand the application range of neural network operations.

[0171] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only the present invention Some, but not all, embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0172] The terms "first", "second" and "third" appearing in the specification, claims and drawings of the present invention are used to distinguish differ...

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 embodiment of the invention discloses a neural network processor and a convolutional neural network processor. The neural network processor can comprise a first weight preprocessor and a first operation array, wherein the first weight preprocessor is used for receiving a vector V<x> including M elements; the normalized value domain space of the element V(x-i) of the vector V<x> is a real number which is greater than or equal to 0 and is smaller than or equal to 1; an M*P weight vector matrix Q<x> is used for performing weighting operation on the M elements of the vector V<x> to obtain M weighting operation result vectors; the first operation array is used for accumulating the elements with the same positions in the M weighting operation result vectors to obtain P accumulated values; a vector V<y> including P elements is obtained according to the P accumulated values; and the vector V<y> is output. The technical scheme provided by the embodiment has the advantage that the expansion of the application range of neural network operation is facilitated.

Description

technical field [0001] The invention relates to the technical field of electronic chips, in particular to a neural network processor and a convolutional neural network processor. Background technique [0002] Neural networks and deep learning algorithms have been very successfully applied and are in the process of rapid development. The industry generally expects this new computing method to help realize more common and more complex intelligent applications. [0003] Based on this business background, major manufacturers have begun to invest in the development of chips and system solutions. Due to the need for computing scale in complex applications, high energy efficiency is the core pursuit of technical solutions in this field. The neural network implementation of the Spiking mechanism has been highly valued in the industry due to its benefits in energy efficiency. For example, IBM and Qualcomm have developed their own chip solutions based on the Spiking mechanism. [0...

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
IPC IPC(8): G06N3/063
Inventor 费旭东周红
Owner HUAWEI 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