Method and equipment for scheduling multi-core processor

Abstract

The invention provides a method and equipment for scheduling a multi-core processor. The method comprises the following steps of: receiving source request information sent by an application program by an LG (Linear Generator), wherein the resource request information comprises information of CPU (Central Processing Unit) resources requested by the application program, and the LG is a lightweight-class cross-course intermediate piece; and distributing the CPU resources requested by the application program to the application program for use according to the resource request information, and isolating at least one Linux kernel thread on the CPU resources. With the adoption of the method and equipment for scheduling the multi-core processor provided by the embodiment of the invention, the cost can be reduced in a multi-core scheduling process; the multi-core displacement is simplified; and the multi-core CPU resource use ratio can be improved.

Description

technical field [0001] The invention relates to computer technology, in particular to a multi-core processor scheduling method and equipment. Background technique [0002] Multi-core refers to the integration of two or more complete central processing unit (Central Process Unit, CPU) cores in one processor. In order to give full play to the effectiveness of a multi-core system, the software on it needs to be parallel. However, the industry's ability to write, debug, and optimize parallel processing programs is still very weak. At present, the commonly used processing method is to use an asymmetric multiprocessor (Asymmetric MultiProcessing, AMP) scheduling method to increase the utilization rate of the multi-core system by binding multiple serial processing programs to different cores. However, due to the uncertainty of the data business model, the system utilization efficiency is not high in the fixed allocation of multi-core CPU resources such as AMP. Subsequently, vario...

AI Technical Summary

Problems solved by technology

For example, there are currently two methods for resource sharing of multi-core CPUs: one is based on the existing operating system (OS), such as linux, based on Symmetric Multiprocessing (SMP) scheduling, and the system kernel schedules in time slices , so that the multi-core CPU capabilities can be shared between applications (Application, APP) almost fairly. However, in this way, the kernel overhead is uncontrollable, and it is difficult to deploy and provide stable CPU resources as the kernel version changes.

The other is to run a multi-core OS based on a virtual machine (Virtual Machine, VM) to share the CPU. The disadvantage is that the VM management overhead is high.

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