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

Artificial intelligence processor for executing neural network model, method and related product

A neural network model and artificial intelligence technology, applied in the field of data processing, can solve problems such as large amount of data IO and insufficient memory access, so as to relieve memory access pressure, improve processing efficiency, and reduce off-chip memory access bandwidth. Effect

Pending Publication Date: 2021-10-01
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the increase in the network level has also brought about problems such as a large amount of data IO and insufficient memory access.

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
  • Artificial intelligence processor for executing neural network model, method and related product
  • Artificial intelligence processor for executing neural network model, method and related product
  • Artificial intelligence processor for executing neural network model, method and related product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present disclosure.

[0024] It should be understood that the terms "first", "second", "third" and "fourth" in the claims, specification and drawings of the present disclosure are used to distinguish different objects, rather than to describe a specific order . The terms "comprising" and "comprises" used in the specification and claims of this disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other featur...

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 discloses an artificial intelligence processor for executing a neural network model, a processing method and a related product. The artificial intelligence processor may be implemented as a computing device included in a combined processing device, and the combined processing device may also include an interface device and other processing devices. The computing device interacts with other processing devices to jointly complete computing operation specified by a user. The combined processing device can further comprise a storage device, and the storage device is connected with the computing device and the other processing devices and used for storing data of the computing device and the other processing devices. According to the scheme disclosed by the invention, a fusion processing scheme of the upper pooling layer and the deep convolutional layer in the neural network model is provided, the off-chip memory access bandwidth can be effectively reduced, the memory access pressure is relieved, and the processing efficiency of a machine is improved.

Description

technical field [0001] The present disclosure relates generally to the field of data processing. More specifically, the present disclosure relates to an artificial intelligence processor for executing a neural network model, a chip, a board, and a method for using the artificial intelligence processor to execute the neural network model. Background technique [0002] At present, deep learning (Deep Learning) has become an important branch of machine learning, and it is also vigorously promoting the development of artificial intelligence (AI). The core technology of deep learning - deep neural network (DNN) has been widely used in many industries. [0003] In order to improve the expressive ability of neural network models, DNN is constantly developing towards deeper or wider network scales. However, the increase in network levels has also brought about problems such as a large amount of data IO and insufficient memory access. Therefore, in order to give full play to the a...

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): G06N3/04G06N3/063G06F15/78
CPCG06N3/063G06F15/7817G06N3/045
Inventor 不公告发明人
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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