Unlock instant, AI-driven research and patent intelligence for your innovation.

A method of neural network processor design using black box simulator

A technology of neural network and neural network model, applied in the field of neural network processor design using black box simulator

Active Publication Date: 2021-02-09
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, many deep neural network algorithms have been applied in a wide range of fields, and these fields have different requirements for the accuracy of the results, and many of them do not require very high accuracy.

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
  • A method of neural network processor design using black box simulator
  • A method of neural network processor design using black box simulator
  • A method of neural network processor design using black box simulator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0032] It should be noted that, in the drawings or descriptions of the specification, similar or identical parts all use the same figure numbers. Implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. Additionally, while illustrations of parameters including particular values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values ​​within acceptable error margins or design constraints. In addition, the directional terms mentioned in the following embodiments, such as "upper", "lower", "front", "rear", "left", "right", etc., are onl...

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 method for designing a neural network processor by using a black box simulator, which comprises the following steps: selecting at least one combination as the input of a neural network model, and setting at least one processor design target as the output of the neural network model; Training a neural network model according to the input and output; And performing predicting on different processors by using the trained neural network model, and determining the processor meeting the processor design target. The invention also provides a neural network processor and a chip. According to the method for designing the neural network processor by using the black box simulator, the neural network processor and the chip, the optimal design structure meeting the given designrequirements can be quickly and effectively obtained from different design parameter combinations and arithmetic unit combinations with different precisions.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to a method for designing a neural network processor by using a black-box simulator. Background technique [0002] Deep neural network is the basis of many artificial intelligence applications at present. It has achieved breakthrough applications in many aspects such as speech recognition, image processing, data analysis, advertising recommendation system, and automobile automatic driving, making deep neural network applied in daily life. every aspect. [0003] However, the huge amount of computation and long computation time of deep neural network have always restricted its rapid development and wider application. As a result, many designers began to develop special-purpose processors for deep neural networks. At the same time, many deep neural network algorithms have been applied in a wide range of fields, and these fields have different requirements for...

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 Patents(China)
IPC IPC(8): G06N3/063
Inventor 不公告发明人
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD