neural network accelerator

Abstract

This application relates to the technical field of artificial intelligence and provides a neural network accelerator. The neural network accelerator is designed with layers as the basic unit. Each module can run in parallel to realize that each layer of the neural network can run simultaneously on the hardware to greatly improve the processing speed, and the main control module can complete the calculation tasks and corresponding data of each layer. The cutting and distribution of the corresponding layer can be performed by each module. Moreover, the neural network accelerator architecture also implements a three-dimensional multiply-accumulate array, so that multiplication and accumulation operations can be run in parallel on a large scale, effectively improving the efficiency of convolution calculations, and realizing convolution operation parameters and The data multiplexing and efficient transfer of convolution operation data between modules realizes data multiplexing between layers of the neural network to reduce external data access, thereby improving data processing efficiency while also reducing power consumption. consumption, the neural network accelerator can improve the ratio of computing power to power consumption.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, in particular to a neural network accelerator. Background technique [0002] With the explosion of convolutional neural network applications, the demand for neural network accelerators with high performance and low power consumption is becoming stronger and stronger. However, in the actual measurement process of the current neural network accelerators, it is found that the measured computing power of these neural network accelerators is usually much lower than the peak computing power of the target, and the power consumption during operation is too large, and the computing power and power consumption are relatively low. The technical problems affect its application on the embedded platform side, for example. Contents of the invention [0003] Based on this, it is necessary to provide a neural network accelerator to address the technical problem of relatively low computing po...

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to provide a neural network accelerator for the technical problem of relatively low computing power and power consumption in traditional neural network accelerators.

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