Data processing method, processor, artificial intelligence chip and electronic equipment

Abstract

The invention relates to a data processing method, a processor, an artificial intelligence chip and electronic equipment, the processing method is applied to a calculation core of the processor, the processor comprises a plurality of calculation cores, and the processing method comprises the following steps: generating and activating a convolution operation result based on to-be-processed sub-data stored in the calculation cores; exchanging the to-be-processed sub-data with different computing cores, and executing the following steps until each computing core stores each to-be-processed sub-data: releasing the storage space occupied by the to-be-processed sub-data before exchange; and generating and activating a convolution operation result based on the exchanged to-be-processed sub-data. According to the data processing method provided by the embodiment of the invention, the to-be-processed sub-data is not divided in the depth dimension, so that the storage space occupied by the convolution operation result is relatively small, that is, the storage space occupied by the convolution operation result in a single calculation core is reduced, and the calculation efficiency of the to-be-processed sub-data is improved. Therefore, the to-be-processed data can still be normally processed under the condition that hardware resources are in shortage.

Description

technical field [0001] The present disclosure relates to the field of data processing, and in particular to a data processing method, processor, artificial intelligence chip and electronic equipment. Background technique [0002] The brain-inspired computing chip adopts a decentralized many-core parallel processing architecture, and each computing core can run independently and exchange data. Under normal circumstances, when the data to be processed by the brain-inspired computing chip is too large, the data to be processed needs to be divided into multiple incomplete sub-data to be processed, so how to process the sub-data to be processed will affect the performance of the brain-inspired computing chip. processing efficiency and memory usage. Contents of the invention [0003] According to the first aspect of the present disclosure, there is provided a data processing method, which is applied to a computing core of a processor, the processor includes a plurality of compu...

AI Technical Summary

Problems solved by technology

Under normal circumstances, when the data to be processed by the brain-inspired computing chip is too large, the data to be processed needs to be divided into multiple incomplete sub-data to be processed, so how to process the sub-data to be processed will affect the performance of the brain-inspired computing chip. processing efficiency, memory usage

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