Device and method for executing forward operation of artificial neural network

An artificial neural network, forward technology, applied in the field of artificial neural network computing, can solve problems such as increasing hardware area overhead and redundancy, and achieve the effect of optimizing the area-to-power ratio, reducing power consumption, and reducing space

Pending Publication Date: 2017-11-07
CAMBRICON TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] Traditional artificial neural network forward operations usually use 32-bit floating-point data types for data storage, but in most forward operations of artificial neural networks, the same type of data will be concentrated within a certain data range. However,

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  • Device and method for executing forward operation of artificial neural network
  • Device and method for executing forward operation of artificial neural network
  • Device and method for executing forward operation of artificial neural network

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[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. Other aspects, advantages and salient features of the present invention will become apparent to those skilled in the art from the following detailed description.

[0046]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 should be considered as exam...

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Abstract

The invention provides a device and a method for executing a forward operation of an artificial neural network. The device comprises the components of a floating point data statistics module which is used for performing statistics analysis on varies types of required data and obtains the point location of fixed point data; a data conversion unit which is used for realizing conversion from a long-bit floating point data type to a short-bit floating point data type according to the point location of the fixed point data; and a fixed point data operation module which is used for performing artificial neural network forward operation on the short-bit floating point data. According to the device provided by the invention, through representing the data in the forward operation of the multilayer artificial neural network by short-bit fixed points, and utilizing the corresponding fixed point data operation module, forward operation for the short-bit fixed points in the artificial neural network is realized, thereby greatly improving performance-to-power ratio of hardware.

Description

technical field [0001] The present invention relates to the technical field of artificial neural network operation, and more particularly relates to a device and method for performing forward operation of artificial neural network. Background technique [0002] Multi-layer artificial neural networks are widely used in the fields of pattern recognition, image processing, function approximation, and optimization calculations. In recent years, multi-layer artificial neural networks have been favored by academic circles and industry is getting more and more attention. [0003] Traditional artificial neural network forward operations usually use 32-bit floating-point data types for data storage, but in most forward operations of artificial neural networks, the same type of data will be concentrated within a certain data range. However, the range of data that can be represented by 32-bit floating point is much larger than the data range of the same type of data in the forward ope...

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Application Information

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IPC IPC(8): G06N3/06
CPCG06N3/061G06F9/44G06N3/02G06F7/483H03M7/24H03M7/28G06N3/063G06N3/08
Inventor 陈云霁刘少礼郭崎陈天石
Owner CAMBRICON TECH CO LTD
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