A multi-task development model and method based on multi-core platform

Abstract

The invention discloses a multi-task development model and method based on a multi-core platform, and relates to the field of massive data processing. This model includes a task management module (10), a message management module (20), a memory management module (30), a timer management module (40) and a business layer (50); the interaction relationship is: the task management module (10) respectively Interact with the message management module (20), the memory management module (30) and the business layer (50); the task management module (10), the timer management module (40) and the message management module (20) cyclically interact in turn. The present invention has ①consistency; ②expandability; ③high efficiency; ④safety; ⑤reusability; ⑥flexibility. The invention optimizes the factors affecting the performance of data processing in a targeted manner, improves the processing efficiency of the program, and can quickly reuse different business requirements, reduces the difficulty of development and shortens the development cycle.

Description

technical field [0001] The invention relates to the field of mass data processing, in particular to a multi-task development model and method based on a multi-core platform. Background technique [0002] Massive data processing platforms usually have high requirements on system processing performance, and need to process network data quickly and efficiently. With the development of technology, the processing performance of hardware is getting higher and higher, and resources such as multi-core platforms and large-capacity memory have greatly improved the efficiency of massive data processing, while the bottleneck of system processing is gradually inclined to processing software. [0003] From the perspective of software processing, the processing performance of the system often decreases rapidly with the increase of processing traffic and processing flow. There are many reasons for performance degradation. From the perspective of system calls and thread switching overhead, ...

AI Technical Summary

Problems solved by technology

[0003] From the perspective of software processing, the processing performance of the system often decreases rapidly with the increase of processing traffic and the increase of processing processes.

There are many reasons for performance degradation. From the perspective of system calls and thread switching overhead, the reasons include the following points: ①Multi-thread processing performance is not linearly related to the number of threads, and the overhead caused by high-frequency switching between threads will cause The reduction of processing performance; ②The system interrupt 0x80 and the switching between user mode and kernel mode have certain overhead, and the impact brought by frequent system calls is particularly obvious; Reduced performance; ④ not fully utilizing the CPU resources of the multi-core platform

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