Data scheduling processing method, apparatus and computer device based on multi-core processor

Abstract

The present application relates to a data scheduling processing method, an apparatus, a computer device and a storage medium based on a multi-core processor. The method comprises the following steps of: creating a temporary storage area for storing the operation data information to be migrated generated by a plurality of kernels; sending the running data information stored in the temporary storagearea to the kernel, and the kernel processes the running data information to obtain feedback information; according to the identifier of the feedback information, deleting the corresponding operationdata information in the temporary storage area, and sending the feedback information to the corresponding kernel according to the identifier of the feedback information; the occupied capacity of thetemporary storage area is detected, and when the occupied capacity is greater than the first threshold value, all the cores are controlled to stop generating the running data information. The method is used for orderly controlling the scheduling of the running data information among the cores, avoiding the problem of data accumulation, fast scheduling speed, and stable data sharing among the cores.

Description

technical field [0001] The present application relates to the technical field of processors, in particular to a multi-core processor-based data scheduling processing method, device, computer equipment and storage medium. Background technique [0002] A multi-core processor refers to the integration of two or more complete cores in one processor. When communicating between multiple cores, information is exchanged through the internal bus of the processor, which effectively improves the operating efficiency of the processor and is widely used in inside the mobile terminal. [0003] Data can be migrated between multiple cores, and the running data on one core can be migrated to another core for execution. In some cases, for example, when the core resource usage is high, the running data on the core needs to be migrated to other cores for running, so as to improve the processing efficiency of the processor. In the prior art, when the kernel data is migrated, a large amount of ...

AI Technical Summary

Problems solved by technology

In the existing technology, when the kernel data is migrated, a large amount of data may be accumulated due to the huge data, and the migration speed is slow, making it impossible to share data between kernels for a long time.

Therefore, the existing technology has the problem that it is easy to cause data accumulation and slow migration speed, which makes it difficult to carry out data sharing between cores stably.

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