Neural network operation device and method

Abstract

The invention provides a neural network operation device and method. The neural network operation device comprises a submatrix division module, a matrix element storage module, a symbolic operation module, a numerical value operation module, an accumulation module and a convolution result acquisition module, wherein the submatrix division module is used for taking a convolution kernel matrix as afirst matrix and taking each submatrix as a second matrix; the matrix element storage module contains multiple storage spaces, and is used for receiving the converted binary number of a matrix element in the first matrix according to a rule; the symbolic operation module is used for determining an operation result sign bit; the numerical value operation module is used for adding matrix elements on corresponding positions, and an addition result moves leftwards for an i-j bit to obtain an operation intermediate result; the accumulation module is used for adding the operation intermediate results in the first storage space to the (i-1)th storage space to obtain the multiplication and addition operation results of the first matrix and the second matrix; and the convolution result acquisitionmodule is used for forming a matrix by a plurality of multiplication and addition operation results as a convolution operation result according to a sliding sequence.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to a neural network computing device and a neural network computing method. Background technique [0002] For the neural network field, a lot of multiplication and addition operations need to be done. As one of the frequently used important operations, the convolution operation also has the problem of large storage resources and computing resources. [0003] Matrix operations are widely used in data processing in various research fields. When the processing data is very large, the storage and operation of the matrix needs to occupy a large amount of storage resources and computing resources. Contents of the invention [0004] In the first aspect of the present disclosure, a neural network computing device is provided, including: [0005] The sub-matrix division module is used to slide on the neuron matrix with the convolution kernel matrix as the sliding wi...

AI Technical Summary

Problems solved by technology

When the processing data is very large, the storage and operation of the matrix need to occupy a large amount of storage resources and computing resources

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